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Data Engineer-logo
Data Engineer
State of Wisconsin Investment BoardMadison, Wisconsin
Making a Difference The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $156 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. We are the 9th largest public pension fund in the U.S. and the 25th largest public or private pension fund in the world. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB. Serving more than 691,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,500 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS. SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee. Home To Top Talent Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. Job Description: About the Team SWIB’s Technology & Data Division is a highly valued partner to our investment teams and a critical contributor to SWIB's continued growth and success. With approximately 75 employees, the division comprises (a) technology, including business systems analysts, design & development, infrastructure, and information security and governance teams; (b) data, including data science, investment data, investment information architecture, data engineering, and reporting; (c) business integration, change, and coordination; and (d) project management. As a top asset owner, our technology and data systems address the entire breadth of investments. Our mission-critical technology and data are essential to deliver internally managed equity, fixed income, and hedge funds strategies, and to oversee external managers investing in both private and publicly traded assets. The team also runs the systems to operate and protect our organization. A few of our current key systems include SimCorp, eFront, Charles River, Snowflake, Markit, and FactSet. Position Overview In this role, you will be responsible for conceptual, architectural, and technical requirements for all aspects of the company’s enterprise data warehouse initiatives. This role intersects data modeling and data architecture to provide next-generation data lake and data warehouse on the cloud technology (Snowflake). The Data Engineer is responsible for the design, development, and maintenance of the enterprise Data Warehouse. Essential Activities: Design, build, and optimize scalable, high-performance data pipelines and cloud-native data warehousing solutions using Snowflake and Azure. Utilize advanced SQL capabilities (e.g., CTEs, window functions, set operations, performance tuning) to support complex data transformations and integrations. Develop, schedule, and monitor data workflows using Snowflake Streams, Tasks, and Stored Procedures for real-time and batch ETL/ELT processes. Implement and maintain CI/CD pipelines using Azure DevOps and GitLab, automating the deployment and testing of data pipeline code and infrastructure. Work extensively within the Azure ecosystem, leveraging services like Azure Data Factory, Azure Storage, and Azure Functions to build robust data integration solutions. Develop and maintain dimensional and normalized data models (covering 1NF through 3NF) to support flexible and scalable data architecture. Create modular, version-controlled data transformation logic that supports automated documentation and testing. Ingest and transform data from diverse formats (JSON, CSV, Parquet, Avro) and sources, including APIs and both on-premise and cloud systems. Drive data quality and governance by establishing and enforcing standards, validation rules, and best practices for metadata management and data lineage to ensure the accuracy, consistency, and reliability of enterprise data. Document technical designs, transformation logic, and architectural decisions clearly and concisely for cross-functional use. The Ideal Candidate: Bachelor's degree in computer science, Engineering, Finance, or a related field. Exposure to the investment or financial services industry. 6–8 years of experience in data engineering, with a strong emphasis on SQL development, ETL/ELT design, and cloud-based data platforms. 2+ years of hands-on experience with Snowflake, including deep knowledge of Streams, Tasks, Procedures, and Snowflake-specific features like virtual warehouses and time travel. Possesses a strong commitment to data quality and governance, with a proven ability to establish and enforce standards, define validation rules, and implement best practices for metadata management and data lineage to ensure enterprise data is accurate, consistent, and reliable. Strong understanding of data modeling techniques, including both dimensional and normalized models. Solid experience working with Azure cloud services for data integration, processing, and orchestration. Experience with DBT, or similar tool, for transformation logic, modular pipeline development, and automated testing/documentation. Proven ability to manage multiple data sources and formats across complex architectures. Strong understanding of CI/CD practices in a data engineering context using Azure DevOps and GitLab. Optional but Preferred: Experience with Python for scripting, orchestration, and automation. Familiarity with Data Vault 2.0, Master Data Management (MDM), or enterprise data quality frameworks. Snowflake certification (e.g., SnowPro Core or Advanced). SWIB Offers: Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks Comprehensive benefits package Educational and training opportunities Tuition reimbursement Challenging work in a professional environment Hybrid work environment The position requires U.S. work authorization. Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy. All SWIB employees are subject to SWIB’s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB’s talent acquisition team and any questions can be answered by SWIB’s compliance team.

Posted today

Data Entry Princeton WV-logo
Data Entry Princeton WV
VP ManagementPrinceton, West Virginia
DATA ENTRY CLERK PRINCETON WV This is an entry level position working in a high paced environment with growth potential. Create spreadsheets to track important information. Transfer data from hard copy to a digital database. Maintain & Update customer information in a database. Organize existing data in a spreadsheet. Verify outdated data and make any necessary changes to records. DESIRED SKILLS Typing speed and accuracy Verbal and written communication skills Time management. Attention to detail. Ability to research and collect data. Understanding of basic software. Self-motivation. Basic computer knowledge and to be proficient in Microsoft suite Transcribes source data into the required electronic format. Transfers information from paper formats into computer files using keyboards, data recorders, or optical scanners. Verifies integrity of data by comparing it to source documents. Reviews data for errors, missing pages, or missing information and resolves any discrepancies. Maintains a filing system and protects confidential customer information. Performs regular backups to ensure data preservation. Responds to requests to retrieve data from the database or electronic filing system. Uses basic office equipment (photocopy machine, facsimile machine, etc.) Maintains a satisfactory level of quality and productivity per department standards. Completes additional assigned tasks as required. Education and Experience Requirements: High school diploma or GED certificate 1-3 years of experience in data entry or equivalent training Ability to type a minimum of 60-90 WPM Experience with Microsoft Office (Microsoft Excel, Microsoft Word) Health insurance benefit package

Posted today

Senior Cybersecurity Product Marketing Manager - Data Security Platform-logo
Senior Cybersecurity Product Marketing Manager - Data Security Platform
VirtruWashington, DC
About Virtru: Virtru is a leading data protection provider backed by some of the foremost venture capital firms in Silicon Valley and the Mid-Atlantic region, including Iconiq Capital, Bessemer Venture Partners, Foundry Capital, and Tiger Global. Today, more than ever, data demands respect, and that’s why Virtru is committed to changing the rules for data privacy. At Virtru, we equip our customers to take granular control of their data—everywhere it’s shared—through end-to-end encryption for Google, Microsoft, and other data sharing platforms. Our market-leading portfolio of data encryption and privacy enhancing applications are remarkably easy to use, fast to implement, affordable for all, and built on the Trusted Data Format (TDF) open standard. At Virtru, our motto is "Respect the people. Respect the data." Respecting data to us means keeping it secure and protected at all times across its entire lifecycle. We firmly believe that when you respect data, you’re demonstrating respect for the people who own that data. Working at Virtru, you'll be inspired by colleagues who are passionate about the work they do. We are dedicated to creating an atmosphere that sparks creativity, connection, and professional growth while empowering each other to do our best work. We're building something special at Virtru. We hope you consider joining our team and helping us create a brighter future for data privacy. Compensation: $150,000-185,000/year We are looking for a Senior Product Marketing Manager to lead our go-to-market, sales enablement, and thought leadership programs for our zero trust SaaS applications. The ideal candidate possesses boundless curiosity, a broad skill set, and can move nimbly between strategic and tactical challenges. In this role, you will craft positioning, external communications, and competitive analysis to help shape the product's voice, drive brand awareness, and grow our cybersecurity SaaS business. About the Role We seek a visionary Cybersecurity Product Marketing Leader to define and drive our go-to-market strategy for our mission-critical Data Security Platform. This isn't about executing a pre-defined playbook—you'll create that playbook, shaping positioning and thought leadership for technology that protects sensitive data across Fortune 500 companies and government agencies. Success in this role means driving sales growth, increasing market awareness, fostering adoption among developer communities, and equipping our sales channels with compelling materials, accelerating the sales cycle. The ideal candidate brings cybersecurity domain expertise, proven enterprise software launch experience, and strong technical aptitude to elevate our presence in the zero trust security landscape.   What You Will Be Doing Market Insights: Create strategic insights into how we can impact potential customers. Collaborate with Product Management and Sales to develop targets, personas (both economic and technical), and buyer insights for technical and business decision-makers across enterprise and government sectors.   Strategic Positioning: Develop product positioning and messaging that differentiates our data security solutions in the crowded cybersecurity landscape. Create tailored messaging that resonates with technical audiences, including developers, security engineers, and architects. Collaborate with key stakeholders to determine and monitor product pricing strategies that align with market expectations and value delivery.   Commercial Readiness: Serve as a critical liaison between Product, Sales, and Marketing to ensure seamless product strategy execution. Drive internal and external launch readiness efforts for product introduction. This effort includes assisting Marketing and agency resources with buyer educational resources and demand generation programs; Product Management with product positioning, pricing, and internal systems readiness; Customer Success, Sales, and Channel partners with required education programs and other necessary go-to-market resources.   Technical Engagement: Develop strategies to drive adoption and engagement within technical communities, particularly for developer-focused offerings. Create technical content and resources demonstrating the value of our security solutions to highly technical audiences.   Content Creation: Design and manage ongoing enablement initiatives that equip Sales and channel partners with up-to-date tools and messaging. Develop organized training sessions and continuously gather feedback to refine content, demos, and readiness materials. Assist the product training team with updating the curriculum and other study aids. Develop thought leadership content that establishes Virtru as an authority in data-centric security and zero-trust solutions.   Assess Competitive Landscape: Oversee the monitoring and operational reporting of the competitive landscape, including SWOT, positioning, and pricing analysis of key competitors in the enterprise security and data protection markets.   Required Qualifications and Experience Cybersecurity Product Marketing Experience: 8+ years of product marketing leadership in enterprise-grade security or data protection solutions with demonstrated success in B2B/B2G markets Technical-Business Translation: Proven ability to bridge complex security concepts for diverse audiences - from developers and security engineers to CISOs and business stakeholders Technical Security Knowledge: Strong understanding of enterprise security architecture, data protection models, zero trust principles, and regulatory compliance frameworks (CMMC, GDPR, FedRAMP, HIPAA, ITAR) Developer Marketing Experience: Technical aptitude with experience developing API/developer-focused marketing strategies, content, and engagement programs Strategic Go-to-Market Leadership: Successful execution of 8+ large-scale software product launches with comprehensive commercialization strategies Competitive Positioning: Demonstrated ability to create differentiated value propositions and messaging in competitive security markets Sales Enablement Excellence: Experience building comprehensive technical sales tools, including white papers, battle cards, product demonstrations, and more. Content Creation & Storytelling: Outstanding communication capabilities across various formats (presentations, whitepapers, webinars, technical documentation) Analytical Mindset: Strong orientation to data-driven decision-making with experience in pricing strategy and key SaaS metrics analysis Competitive Intelligence: Experience monitoring security market trends and conducting comprehensive competitor analysis   Additional Preferred Qualifications Experience bringing security solutions to market in CIV/DOC-IC market segments, as well as commercial enterprise markets Strong working knowledge of data security market and solutions, including zero trust; data discovery, classification, and tagging (DSPM), data loss prevention (DLP); identity management  Previous SaaS or on-premises platform product marketing experience Strong working knowledge of Google Workspace, M365, Microsoft SharePoint, and similar collaboration apps in enterprise environments International product marketing experience   Education Bachelor's Degree in Business, Marketing, Computer Science, or related field or equivalent work experience Preferred: Certification in the Pragmatic Marketing Framework or other relevant security certifications   Virtruvian qualities that will set you up for success: Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence Strong sense of urgency with an action-oriented mindset Able to collaborate and adapt to shifting priorities as business needs evolve Comfortable with asynchronous communication including slack, email, zoom, etc.   PERKS & BENEFITS   At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as… A Remote-First Approach — Virtru is committed to being forever flexible when it comes to where, how, and when you get your work done. You have the option to work from home if that suits you best, or work from our DC Headquarters if you prefer being in person! A Flexible PTO policy — we strongly encourage you to take time off (in addition to 12 federal holidays) to ensure that you are getting the proper time needed to unplug and recharge. A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow. Internal mobility options for those interested in exploring their skills in other areas of the business Frequent company-sponsored Team Celebrations that provide ample opportunities to connect with teammates and be social! Access to an Employee Assistance Program. Access to Headspace , a mental health app tailored to your specific needs. A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first. In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority. The Council also hosts a range of events throughout the year focused on the continual education of our teammates on social justice issues, current events, and marginalized cultures and communities.  Additional perks include:  Competitive compensation Generous parental, medical, and bereavement policies Uncapped commissions for Sales roles 401K and stock options Full medical, dental, and vision benefits Annual Winter Hackathons and Summer “InnoVation Weeks” (in-person optional) New Hire Swag and IT Welcome boxes Structured semi-annual 360° performance reviews Transparency is at the core of how we operate and everything we do!  Virtru is currently operating in a remote-first capacity; however, there are plenty of opportunities to connect with the team in person throughout the year, both in and out of the office, whether they be team-specific or company-wide celebrations and events.   Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Posted today

Infor Data Specialist/Material Handler-logo
Infor Data Specialist/Material Handler
CACIRochester, New York
Infor Data Specialist/Material Handler Job Category: Logistics Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * * The Opportunity: Accurately request, receive and make-to-stock material through Infor ERP system by meticulously reviewing, entering data and performing needed transactions for the system. Responsibilities: Data entry: Accurately entering data into the Infor ERP system. Data validation: Verifying the accuracy of entered data by cross-checking with source documents and performing data quality checks to identify and correct errors. Data cleansing: Identifying and correcting duplicate or inconsistent data within the system to maintain data integrity. Data reporting: Generating reports from the Infor ERP system as needed, including inventory reports. System navigation: Proficiently navigating through different modules within the Infor ERP system to access relevant data entry screens and functions. Compliance with procedures: Following established data entry guidelines and company policies to ensure data accuracy and consistency. Material handling: Following procedures to accurately handle material as needed to support program demands. Qualifications: Required: Strong attention to detail and ability to identify errors in data Excellent typing accuracy and data entry skills Proficiency in Microsoft Office applications, especially Excel for data analysis Understanding of basic business processes related to sales, inventory, purchasing, and accounting Desired: Familiarity with Infor ERP system navigation and data entry functions - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . The proposed salary range for this position is: $39,400-$71,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Posted today

Senior Data Scientist-logo
Senior Data Scientist
Credit KarmaOakland, CA
Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City. *Banking services provided by MVB Bank, Inc., Member FDIC Senior Data Scientist  Credit Karma is looking for a results-oriented and strategically innovative Senior Data Scientist who is passionate about applying machine learning to solve financial challenges for millions of members. In this role, you will drive data-informed decisions and deliver AI-powered recommendations that help our members achieve their financial goals. Data Science plays a ubiquitous role in Credit Karma’s product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience for our members. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, marketing, finance and analytics.  We are seeking a Senior Data Scientist to drive innovation in the development and application of data science techniques that power the most relevant financial products including and actionable recommendations at Credit Karma. This role is ideal for someone who combines strong statistical and machine learning skills with business acumen and cross-functional collaboration. What you’ll do: Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our users Responsible for accelerating revenue and engagement advancement through disruptive and continuous improvements in various data science models (targeting, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc. Participate research efforts with other team members to explore the frontiers of GenAI, Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc.  Provide solid statistical bases in designing experiments. Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners Represent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forums What’s great about the role: You will work with large scale Machine Learning Models to optimize for Personal Finance Products You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members You will experience both personal and professional growth as you encourage growth throughout the team Minimum Basic Requirement: MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline 5+ years of industrial experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenarios Deep statistical understanding of data at scale Authoritative knowledge of Python/R and SQL Experience with advanced modeling techniques, such as deep neutral network, collaborative filtering, matrix factorization, time series analysis, mixed-effect models, etc Preferred Qualifications:  Experience with driving monetization, member engagement, longer term member value through AI Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods Ability to balance fast paced environments at a large scale company Ads business and product experience Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary range for this role is $296,068, plus equity and benefits.  Benefits at Credit Karma includes: Medical and Dental Coverage Retirement Plan Commuter Benefits Wellness perks Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More) Education Perks Paid Gift Week in December Equal Employment Opportunity: Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.  Credit Karma is also  committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated. Privacy Policies: Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies: GDPR Privacy Policy U.S. Job Applicant Privacy Notice

Posted 30+ days ago

Pricing Data Analyst II-logo
Pricing Data Analyst II
Mass General BrighamorporatedSomerville, Massachusetts
Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary This position is responsible for revenue analytics, and calculating the financial impact of Revenue Integrity initiatives. Develops, analyzes, and maintains pricing strategies and models for the organization. This involves evaluating cost structures, market conditions, and reimbursement methodologies to ensure competitive and compliant pricing. Qualifications Education Bachelor's Degree required with concentration in Finance, Accounting, Business Administration or a related field of study Experience Experience in pricing analysis, financial analysis, or revenue management or related areas 3-5 years required and Experience in a healthcare or hospital setting 2-3 years preferred Knowledge, Skills and Abilities - Strong analytical and quantitative skills with the ability to interpret complex data and generate actionable insights. - Proficiency in financial modeling, cost analysis, and understanding healthcare market research. - Effective communication and presentation skills, with the ability to convey complex information to diverse audiences. - Advanced proficiency in Microsoft Excel, financial analysis, relational database and business intelligence tools, and relevant software (e.g., SQL, Enterprise Resource Planning systems). - Understanding of healthcare reimbursement models, payer contracts, and regulatory requirements. - Organizational and project management skills, demonstrated ability to manage concurrent projects and deadlines - Customer service commitment, building and maintaining effective working relationships, anticipating needs by viewing work from customer perspective - Intellectual ownership: accepting responsibility for successful completion of work - Strategic and Critical thinking: understanding work in context of organizational goals and external environment, identifying implications and consequences of options presented Additional Job Details (if applicable) Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Posted today

Data Analyst- Tech Refresh-logo
Data Analyst- Tech Refresh
CACIWashington Dc, Virginia
Data Analyst- Tech Refresh Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Anticipated Posting End: 8/30/2025 CACI is searching for a Tech Refresh Data Analyst to join a worldwide engineering, operations, and tech refresh contract supporting Enterprise IT (EIT) capabilities and functions for our Intelligence Community (IC) customer. As a team, we will be responsible for operations, future technologies, engineering and Tier 2/3 support, break/fix, and tech refresh activities to develop and maintain agency wide capabilities on a global basis. Be a part of something greater than yourself and make a lasting impact at CACI. More About the Role R esponsible for the overall Tech Refresh data analysis performed under this contract. R esponsible for providing system data, and process improvement recommendations for means of automation for Tech Refresh operations and data management. P rovides project data, updates, and standings to cover future DIA, Defense Intelligence Enterprise growth for sites to come that fall within scope of Tech Refresh while preparing data requirements for Tech Refresh utilization of schedule, project success, implementation, and executions of assets. Performing analysis to assess quality and meaning of data Using statistical tools to identify , analyze, and interpret patterns and trends in complex data sets Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Seasoned technical contributor Works independently with limited supervision May manage projects / processes Influences others regarding system design, solutions, and procedures You’ll Bring These Qualifications Minimum bachelor’s degree in a relevant field, such as data science, statistics, mathematics, or computer science. Demonstrated experience in collecting, acquiring , extracting, integrating, inspecting, cleaning, and modeling data. Bachelor's Degree plus 7 years of experience (or equivalent) and a minimum of 5 years in data analysis experience. Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science. Must be a U.S. Citizen Top Secret/Sensitive Compartmented Information (TS/SCI) with ability to obtain a polygraph The Data Analyst must have excellent communication, teamwork, leadership and conflict management, and critical thinking skills. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $90,300-$189,600 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Posted today

Data Scientst -AI-logo
Data Scientst -AI
InfluurSan Francisco Bay Area, California
About Influur Influur is redefining how advertising works — through creators, data, and AI. Our mission is to make influencer marketing as measurable, predictable, and scalable as paid ads — and we're building the tech that powers it. Backed by top-tier investors and trusted by global brands, we're scaling fast across music and culture. We’re currently developing a next-gen platform that connects artists, brands, and creators through AI-powered matchmaking, campaign automation, and generative tools. If you're a data person passionate about deploying and fine-tuning models in real-world systems, and eager to push the boundaries of AI in advertising, this role is for you. Your Skillset Experience building fundamental models. Deep experience with large language models (LLMs), agents, and frameworks. Expertise in machine learning pipelines, including model development, evaluation, and deployment. Experience building and deploying generative AI models (OpenAI, Langchain, CrewAI, etc). Strong Python skills and experience with PyTorch, FastAPI, NumPy, scikit-learn, and data visualization tools. Experience designing scalable AI architectures, including contextual product recommendations and cold start algorithms. Strong statistical analysis background (A/B testing, experimental design, time series, multivariate analysis). Ability to turn research prototypes into production-ready solutions in collaboration with product and engineering teams. You’re the Type Who Writes clean, reusable, and well-documented code for ML pipelines and experiments. Enjoys experimenting with the latest AI frameworks and tools — and rapidly prototypes new concepts. Collaborates cross-functionally with product, data, and design teams to build AI features that directly impact the user experience. Thrives in fast-paced, early-stage environments where iteration and ownership are key. Thinks analytically and solves complex problems with efficiency. Stays curious about the latest in AI, especially LLM deployment, personalization engines, and data-driven UX. Thrives in ambiguity and builds structure from chaos. $200,000 - $200,000 a year What We Offer • Competitive equity in a venture-backed company shaping the future of music influencer marketing. • A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny) — with our tech, support, and strategic guidance. • Access to elite tools, AI copilots, and a team that builds daily at top speed. • Hybrid flexibility + top-tier health benefits.

Posted today

Product Director, Data Resilience Strategy-logo
Product Director, Data Resilience Strategy
Veeam SoftwareAtlanta, Georgia
About Veeam Software Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. ​ Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. We’re seeking a Product Director to lead the development, evolution, and scale of our Data Resilience Maturity Model (DRMM) —a strategic framework that helps enterprises benchmark, assess, and improve their data resilience posture. This is a hybrid role combining strategic product ownership , technical program execution , and cross-functional leadership . You will drive the DRMM roadmap, define and deliver supporting tools and assessments, and ensure our internal and external stakeholders—from Services to Sales to Partners—can operationalize the framework at scale. Ideal candidates are fluent in both product strategy and the technical and data mechanics of enterprise assessments. You’ll need to deeply understand how frameworks like DRMM are implemented—from the logic behind scoring models to the flow of survey data into dashboards—and ensure smooth execution as we scale across thousands of customers. Responsibilities: Own the DRMM as a strategic product : Shape the framework roadmap, evolve its structure, and define long-term success metrics. Integration with Sales and Go-to-Market (GTM) Strategies: Collaborate with Sales, GTM, and Enablement teams to embed the DRMM into sales motions and field activities, ensuring alignment with market needs. KPI Development and Performance Measurement: Establish, track, and report on key performance indicators (KPIs) that demonstrate the DRMM's effectiveness in areas such as pipeline generation, deal progression, adoption rates, and customer outcomes. Sales Enablement and Training: Develop comprehensive training programs, playbooks, and collateral to empower field and partner teams in leveraging the DRMM during customer engagements. Establishing a Continuous Feedback Loop: Implement mechanisms to gather feedback from field teams and customers, using this information to refine the DRMM and associated sales plays. Operationalizing at Scale: Ensure that assessments are conducted in a reliable, repeatable, and measurable manner, supporting scalability and efficiency. Requirements: 8–12 years of experience in product management, technical consulting, or program leadership in enterprise tech or cybersecurity. Experience owning or building maturity models, assessment frameworks, or benchmarking tools . Demonstrated success in designing and executing strategic programs that directly enhance sales value and drive measurable revenue growth. Proven ability to drive complex, cross-functional programs , balancing strategic vision with deep attention to execution details. Data- and process-oriented: You’re comfortable working with research, analytics, and technical partners to shape frameworks and tooling. Executive presence with the ability to influence across technical and non-technical stakeholders —from internal execs to customer CISOs. #LI-TS1 #remote The salary range posted is On Target Earnings (OTE), which is inclusive of base and variable pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands. United States of America Pay Range $182,100 — $260,100 USD Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice . The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice .

Posted today

Sr. Brand Manager- Intel Data Center-logo
Sr. Brand Manager- Intel Data Center
CDWChicago, Illinois
At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW. Job Summary The Senior Brand Manager is the central liaison for large, top tier, and more complex partners for working with CDW stakeholders across the organization, including sales, finance, and marketing. The Senior Brand Manager is the product expert and business manager. The role acts as the channel leader and provides guidance to respective Partners, identifying opportunities and developing strategies to increase product sales. The Senior Brand manager is responsible for driving revenue, profitability and awareness for respective manufacture while engaging heavily with Sales. The Senior Brand Manager interacts with senior level management while independently driving strategy for program development and pricing. What you’ll do Be the subject matter expert in a partner's product line and associated programs such as Bid Desk programs, VIR, COOP and Category Penetration Analyze complex industry information to identify opportunities and develop strategies to increase sales Develop and articulate competitive positioning and differentiation of brands Develop marketing plans for partner in conjunction with Partner Development and Product Managers that outline target customer segments, products, promotions, pricing, positioning, and complete launch plans Educate pre-sales and Product Specialists on new product introductions, transitions, competitive advantages, and opportunities to identify sales within their customer base Understand and communicate partner organizational structure with key decision makers and foster strong executive relationships Communicate partners’ financial conditions and market new products related to the assigned partner Engage daily with assigned partner to maintain an open channel of communication at all times to ensure that all CDW and partner stakeholders are kept up to date on any and all issues, initiatives, projects, meetings, or conferences Manage and maximize overall profitability; managing financial benefits and develop a strategy around re-investing funding What we expect of you Bachelor’s degree + 4 years sales/marketing experience, OR 8 years’ experience in sales/marketing, OR 4 years CDW PPM experience + 4 years’ experience in sales/marketing Preferred skills, experience, and qualitied needed Bachelor’s degree with a concentration in Marketing Previous experience in the technology industry Prior experience in Supply Chain, Pricing, Merchandising or Program Management Pay range: $82,000 - $122,400 depending on experience and skill set Annual bonus target of 10% subject to terms and conditions of plan Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials We make technology work so people can do great things. CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

Posted today

Data Entry Clerk - Onsite Tampa, FL-logo
Data Entry Clerk - Onsite Tampa, FL
DEX ImagingTampa, Florida
Description JOB SUMMARY The Administrative Data Collection Specialist is responsible for accurate day-to-day billing of assigned equipment. They support and assist other departments with any meter disputes and questions. Since this position has a direct impact on the company’s monthly recurring revenue, all of the following Duties and Responsibilities are time critical. ESSENTIAL DUTIES AND RESPONSIBILITIES · Process missing meter report for designated bill group(s) and maintain accurate meter read entries. · Obtain missing meters via phone, email, DCA, etc. · Correction or reset of meters. · Report equipment no longer reporting on DCA to National DCA Team · Process daily billing not completed by our automated system. · Support Accounts Receivables, Contracts and Customers with meter inquires. · Submits meters to all 3 rd party vendors · All assigned contracts are to be billed no later than 5:00 pm on month end close date. MANAGEMENT AND SUPERVISORY RESPONSIBILITY · Typically reports to Management Direct Supervisor job title(s) Typically include; Area Administrative Manager · Job is not directly responsible for managing other employees (e.g. hiring/termination and/pay decisions, performance management. Job title example(s) of employees directly supervised: n/a JOB QUALIFICATIONS/SKILLS · Computer literacy to utilize basic Microsoft Office Suite (Word, Excel) and organizational systems. · Effective communication, in written and oral form, with customers and across all levels of the organization. · Basic math skills. · Strong attention to detail, with ability to handle a large volume of work at a fast pace. · Ability to multi task. · Ability to work independently and as a productive team member. EDUCATION AND EXPERIENCE REQUIREMENTS · High school diploma or equivalent required · Experience with data collection/entry

Posted today

Quantitative & Data Scientist II-logo
Quantitative & Data Scientist II
Umpqua BankLake Oswego, Oregon
Description About Us: At Umpqua, we create a great place to work by offering a unique brand of relationship banking and fostering a culture where associates thrive. We are dedicated to supporting our customers and communities, and we can only achieve this through the dedication of our employees. We value Trust, Ownership, Growth, Empathy, Teamwork, Heart, Enjoyment, and Relationships, and we are eager to meet candidates who embody these core values. We are always on the lookout for results-focused individuals who can think independently, work collaboratively, and support our broader purpose. Think of us as financial partners, because at Umpqua, we believe the best way forward is together. Together for people. Together for business. Together for better. About the Role: In this role, you will engage in development, execution, and implementation of statistical, mathematical, economic, and financial models for business decision making, risk assessment and strategic initiatives. Successful candidate will have the opportunity to learn different models and modeling techniques that are used at the bank including but not limited to: financial planning models, fraud detection models, customer analytics, credit risk management, anti-money laundering and asset liability management. This position will assist in completing model validation requirements for a variety of financial and non-financial models used across the bank. Working with stakeholders across the bank, you will provide advice on model selection, implementation, and usage. Design, estimate, implement, test, document and maintain statistical models for default and loss severity forecasting for retail and commercial loan portfolios. Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Conduct ad hoc quantitative analyses, modeling, or programming using DataBricks, SQL, R, or Python. Partner with business units to identify their business needs and develop, implement, and manage modeling solutions in accordance with SR 11-7. Assist business units in assessing quality of model inputs/outputs through back testing against realized outcomes, benchmarking against alternative models and other relevant tests. Recommend short- term and long-term model monitoring solutions based on the nature and tier of the model. Research and Develop quantitative tools and techniques to measure and analyze model risks and establish conclusions on strengths and limitations of the model. Assess conceptual foundations of a model, model specification, underlying assumptions, limitations, variable selection, underlying data, developmental evidence, documentation. Interview model developers/vendors and model owners to understand the business context for model use and facilitate the adoption of model risk management standards. Keep up to date with any banking regulations affecting model risk management practices across the bank. Advocate quantitative practices across the bank. Propose and execute model validation tests for new and existing models in the inventory. Assist manager in production of regular and ad-hoc reports on individual and Bank-level model findings for Senior Management and regulators. Coordinate with model validation team on any changes to the Bank’s model inventory or End user Applications. About You: Master’s Degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences required. Doctoral degree or equivalent experience preferred. 2-4 years in banking or financial services as a Data Scientist, Statistician, Quantitative Risk Analyst, Model Developer, Model Validator, or similar required. Knowledge of regulatory requirements related to model risk management (FRB/OCC SR 11-7), Basel II/III capital requirements, and Dodd-Frank Act Stress Testing (DFAST). Advanced understanding of statistical modeling, econometric forecasting, machine learning, data extraction and processing techniques; and demonstrated ability to apply such methods. Experience with analytics software (Python, PySpark, R, Matlab, Excel VBA, SQL), relational databases and/or cloud computing platforms like Azure or AWS. Possess communication skills, both oral and written, with ability to translate complex statistical or economic theories and analysis into practical implications for business teams and Senior Management. Demonstrate strong organizational skills, with the ability to manage multiple concurrent projects. Ability to proactively learn newly emerging statistical, econometric, and mathematical modeling techniques, and understand the implications of their use in a banking organization. Proven organizational skills are required to perform multiple tasks simultaneously to meet strict deadlines. Critical thinker with business intuition, intellectual curiosity, and ability to execute. Certification as Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or Certificate in Quantitative Finance (CQF) or progress toward the Certification preferred. Job Location(s): Ability to work fully onsite at posted location(s). Lake Oswego, OR Tanasbourne, OR Hillsboro, OR Portland, OR Our Benefits: We offer a competitive total rewards package including base wages and comprehensive benefits. The pay range for this role is $ 88,944.67 to $165,182.79 and the pay rate for the selected candidate is depend ent up on a variety of non-discriminatory factors including, but not limited to, job-related knowledge, skills, and experience, education, and geographic location. The role may be eligible for performance-based incentive compensation and those details will be provided during the recruitment process. We offer eligible associates comprehensive healthcare coverage (medical, dental, and vision plans), a 401(k)-retirement savings plan with employer match for qualifying associate contributions, an employee assistance program, life insurance, disability insurance, tuition assistance, mental health resources, identity theft protection, legal support, auto and home insurance, pet insurance, access to an online discount marketplace, and paid vacation, sick days, volunteer days, and holidays. Benefit eligibility begins the first day of the month following the date of hire for associates who are regularly scheduled to work at least thirty hours weekly. Our Commitment to Diversity : Umpqua Bank is an equal opportunity and affirmative action employer committed to employing , engaging, and developing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, age, sexual orientation, gender identity, gender expression, protected veteran status, disability , or any other applicable protected status or characteristics. If you require an accommodation to complete the application or interview(s), please let us know by email: [email protected] . To Staffing and Recruiting Agencies: Our posted job opportunities are only intended for individuals seeking employment at Umpqua Bank. Umpqua Bank does not accept unsolicited resumes or applications from agencies and Umpqua Bank will not be responsible for any fees related to unsolicited resume submissions. Staffing and recruiting agencies are not authorized to submit profiles, applications , or resumes to this site or to any Umpqua Bank employee and any such submission s will be considered unsolicited unless requested directly by a member of the Talent Acquisition team .

Posted today

Sr. Manager, AI And Data Product Management-logo
Sr. Manager, AI And Data Product Management
PfizerLa Jolla, CA
Use Your Power for Purpose At Pfizer, technology drives everything we do. You will play a pivotal role in implementing impactful and innovative technology solutions across all functions, from research to manufacturing. Whether you are digitizing drug discovery and development, identifying innovative solutions, or streamlining our processes, you will be making a significant impact on countless lives. What You Will Achieve Develop and lead/co-lead complex projects to achieve objectives. Coordinate with Solutions Delivery Engineers to identify opportunities for technology alignment and efficiency of implementation, executing process improvements. Act as the primary technical interface between the business application platforms team and the assigned Digital Technology business line. Develop user stories and epics to encapsulate business requirements for prioritization against the master BAP backlog. Assist teams with the execution of test cases and scripts, ensuring customer expectations are met through the delivery of services or projects. Communicate project status, milestones, and issues to project sponsors, drive Master Data Management best practices, create technical designs and implementation plans, and perform technical evaluations of commercial blockchain-based solutions. Here Is What You Need (Minimum Requirements) BA/BS with 6+ years of experience or MBA/MS with 5+ years of experience or PhD/JD with 1+ year of experience or MD/DVM with any years of relevant experience Proven expertise in collaborating with sponsors and business leadership teams within research and development or a similar field to develop and deliver technology roadmaps, strategies, and operating plans Demonstrated understanding of key Agile techniques and a deep comprehension of systems and information architecture Broad knowledge of corporate enterprise systems Innovative mindset with strong delivery-oriented values Excellent stakeholder relationship management skills Exceptional interpersonal and communication abilities Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact Bonus Points If You Have (Preferred Requirements) A Master's degree with relevant pharmaceutical industry experience Experience working on global programs A good understanding of business customers' expectations and preferences, and how digital fits in Experience with SharePoint, Microsoft NET, and Microsoft and Oracle application platforms Ability to anticipate and troubleshoot roadblocks, influencing teams to meet division targets Strong analytical and problem-solving skills Ability to manage multiple priorities in a fast-paced environment Strong leadership and team management skills Non-Standard Work Schedule, Travel, or Environment Requirements The AI and data product manager will need to work hours required of the product team and travel as needed (approx. quarterly) Other Job Details: Last Day to Apply: June 6, 2025 Work Location Assignment: Hybrid - onsite an average of 2.5 days per week or as needed by the business The annual base salary for this position ranges from $120,800.00 to $201,400.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Information & Business Tech #LI-PFE

Posted 5 days ago

(Remote) Data Entry Work From Home / Research Panelist-logo
(Remote) Data Entry Work From Home / Research Panelist
FocusGroupPanelWellington, FL
Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs. We're looking for folks who want to earn weekly doing something strictly online and with maximum flexibility. This is a great way to earn extra money in your spare time by working at home! For more information apply to our job posting and then look for email to apply to our online site. * You must apply online additionally. Benefits Work when you want. Earn serious cash working part time or full time. Learn new skills that you can take anywhere. Ditch the commute & the high gas prices No degree required Supplement your existing job. No need to quit your current job, unless you really hate it. We provide training and tools to help you succeed in this industry Excellent gig for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online. Much more... Remote work from home skills could include: Typing 25+ words per minute You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Computer with internet access It is crucial that you be self-motivated and able to follow explicit directions to begin working from home Self Motivated - you must be 100% able to commit to working with little supervision Work from home jobs of this nature require Internet and one of the following: Laptop or PC, MAC, or Smart Device - Android or IOS Ready to get started? Apply today and start earning as quick as today. Thanks for checking us out and we look forward to helping you achieve your goal of earning extra side income. As a reminder the folks who work with us come from a wide variety of backgrounds like customer service representative, administrative assistant, health care workers, human resources, warehouse workers, car delivery drivers, remote work from home professionals, and many more.

Posted today

(Remote) Data Entry Work From Home / Research Panelist-logo
(Remote) Data Entry Work From Home / Research Panelist
FocusGroupPanelWhittier, CA
We appreciate you checking us out! Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers. Unleash your skillset within an accommodating role that can be managed from any location! Are you searching for a new way to make money? Look no further – we are seeking individuals now who can work remotely from their own homes! Whether it's part-time or full-time, discover an opportunity that works best with your schedule. You will find both full-time and part-time remote opportunities in a variety of career fields. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Companies providing these jobs offer comprehensive training to the successful applicant so they can excel at their role! JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) Applying on our website is necessary to ensure you receive important updates from us. Keep an eye out for emails with further instructions! To get started, these are the essential elements you'll need! LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We're eager to collaborate with you! Take the next step and reach out via email--apply now for a position today! Take control of your work schedule with our flexible position that allows for remote or in-person participation. With no minimum hours, you can choose to tackle this role part time or full time from the comfort of home. Plus, gain exclusive access to complimentary samples from sponsors and partners as a reward for offering valuable feedback on their products! Act now by clicking 'Apply' and launch into an exciting new work at home job today! This position is open to anyone looking for short-term, work at home, part-time or full-time job. Do you want to add an extra stream of income ? Let us help! By participating in our paid market survey, people from all walks of life can earn some money. No prior experience is needed and the hours are flexible—perfect for those looking for a part-time job they can do remotely. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning!

Posted today

Account Manager, Enterprise - OEM, Data Partnerships-logo
Account Manager, Enterprise - OEM, Data Partnerships
SimilarwebNew York, NY
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.  Our unique data and solutions empower over 5,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. We are looking for an Account Manager to join our OEM team . Why is this role so important at Similarweb? As an Account Manager, OEM you will be responsible for developing, executing, and owning a long-term account strategy for our key strategic data partnerships. This role will oversee retention and expansion of accounts in addition to driving adoption of our data solutions in core processes across the business. You will own the relationship with customers and key decision makers to ensure our data delivers significant value to their products and organizations. So, what will you be doing all day? Develop and execute long-term account strategies for customers, focusing on retention and expansion. Oversee the renewal process and increase renewal rates by fostering strong partnerships with key decision-makers. Identify and lead up-sell and cross-sell opportunities to drive new business growth, enhancing customer advocacy and reference-ability. Manage relationships with account users to ensure high engagement and data adoption, exceeding commercial targets. Influence future lifetime value through increased data adoption, customer satisfaction, and overall engagement. Collaborate with internal teams to align our data strategy with customer needs.  This is the perfect job for someone who: Minimum 3 years of commercial experience in navigating renewals and up-sells, preferably in a SaaS environment. Strong understanding of key digital web metrics and various online marketing channels. Proven experience in managing data partnerships, demonstrating the ability to cultivate and maintain strong relationships that drive mutual success, including the ability to articulate value propositions for integrated data solutions. Ability to translate complex data concepts into actionable strategies that enhance client value and drive decision-making. Experience working with C-suite executives at client organizations, effectively communicating insights and presenting strategic recommendations that align with their business objectives. Strong analytical skills to assess data needs and identify growth opportunities within client organizations. Demonstrated success in developing long-term strategic plans that leverage data partnerships to achieve business goals. **At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.** The base salary range for this position in New York City is $74,970 - $132,300 + benefits including: medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave.  In addition, this position is eligible to participate in the company's sales incentive plan, with a maximum target OTE of up to $220,500, depending upon the final terms of employment and achievement of established targets. Individual compensation is based upon a number of factors, including qualifications and relevant experience.  The base salary range above is for the New York City metro area, and could vary for candidates in other locations. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas:   We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.  We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. #LI-DC #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .

Posted 30+ days ago

Staff Data Scientist, Member Insights-logo
Staff Data Scientist, Member Insights
SoFiSan Francisco, CA
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. We're looking for a technical and skilled Staff Data Scientist to play a lead role in the Member Data Scientist team focusing on Complaints Analytics. In this role, you will be responsible for driving insights from customer complaints, you will analyze structured/unstructured complaints data to uncover trends, identify root causes, unlock insights, and provide actionable recommendations to improve customer experience and operational efficiency. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals. As a Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will help the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.  In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills. Additionally, you are expected to work cross functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.    Responsibilities: Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Develop and apply machine learning models to solve business problems Evaluate and interpret the results of data analysis Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders. Design and implement data collection. Build data pipelines to deploy production level datasets. Collaborate with cross-functional teams and business leader to understand needs and offer data-driven solutions Participate in internal team Knowledge sharing session and willingness to mentor junior Data Scientists in the team Stay up-to-date on the latest data science techniques and technologies   Qualifications: Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 7+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a tech company Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact. Advanced skill set in crafting clean, efficient, and scalable code that adheres to industry best practices, including utilization of version control systems like Git. Strong understanding of data mining, machine learning, and statistical modeling.   Conduct A/B testing and other experiments to validate the effectiveness of data models Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Identify quasi-experimental opportunities, conduct relevant analyses, communicate results effectively, and collaborate with stakeholders to turn findings into actions Be proficient with SQL, Python (or any other coding language), and visualization tools Experience with using DBT to set up ELT/data pipelines, automate jobs via Airflow  Ability to provide data insights for 0-1 products, comfortable with driving the direction of the roadmap for a data strategy.  Excellent communication and presentation skills, able to create dashboards to deliver insights  Ability to cross collaborate, work in an ambiguous environment with strong problem-solving skills, and mentor junior data scientists.  Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Posted 30+ days ago

Principal Software Engineer, Data Platform-logo
Principal Software Engineer, Data Platform
SoFiSan Francisco, CA
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is driven by data! In this role, you will contribute to the long-term success of SoFi's data vision by developing distributed systems and scalable data platforms. The Data Platform Group supports data use cases across all of SoFi's diverse business units by providing a highly scalable, democratized data platform that empowers teams to ingest, model, and consume data confidently. Join the Data Platform Group as it refines its vision and establishes industry-leading standards for data lifecycle management, introducing best-in-class architectural components and processes to extract value from disparate data sources. The success of this team is vital to the company's success, and your contributions will have a highly visible and lasting impact.   As a Principal Engineer, you'll contribute to the team's technical direction by designing innovative solutions to complex business challenges. You'll collaborate with engineering teams to maximize value for platform consumers, coordinate with squads to align with the Data Platform team's strategy, and provide guidance on testing and deployment strategies. Leveraging your expertise, you'll explore GenAI to enhance data analysis and decision-making. You'll mentor team members and represent the team during recruitment and hiring. The ideal candidate has experience in distributed systems and scalable data platforms.   What you’ll do: Collaborate with cross-functional teams to understand complex business requirements and translate them into scalable, high-impact technical solutions, directly influencing SoFi's data-driven decision-making processes. Lead architectural design sessions for the Data Platform and its integrations (APIs, services), ensuring solutions are not only technically sound but also aligned with broader business goals and significantly contribute to SoFi's overall data strategy. Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack. Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services. Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack. Provide technical leadership in evaluating and adopting emerging technologies within the modern data stack, ensuring SoFi remains at the forefront of data engineering innovation. Drive Operational excellence across the squads and act as a liaison between Data and other organizations. Implement and track operational metrics to measure progress and identify opportunities for further optimization. Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations. Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform. Collaborate with data scientists and ML engineers to explore and implement GenAI solutions for data analysis, feature engineering, and predictive modeling. Contribute to the development of responsible GenAI practices within the organization, ensuring ethical and unbiased use of AI technologies.  Mentor technical team members in best practices for Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.   What you’ll need: Educational Background: A Bachelor's or Master's degree in Computer Science, Information Security, or a related field is required; an advanced degree is preferred. Experience: A minimum of 10 years in a pivotal Software/Data Engineering role, with extensive experience in modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, Docker/k8s, and AWS data services. Technical Skills: Strong understanding of data ingestion, orchestration, transformation, and reverse ETL best practices and design principles. Proven skills in distributed systems architecture and building scalable solutions. Mastery in Python, Java, and SQL for complex operations within Snowflake and AWS services like DMS, MSK (Kafka), and S3. Solid experience with Terraform or Cloudformation as IaC solutions. Soft Skills: Strong leadership and communication skills. Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests. Demonstrated problem-solving capabilities, especially within the context of the modern data stack and experimentation realm. Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization. Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support. Nice to have: Data exploration and analysis experience using SQL/Python/R/Tableau.  Experience with prompt engineering and fine-tuning LLMs. Contributions to open-source projects. Experience with data governance and security. Familiarity with machine learning concepts. Experience with finance / fintech or enthusiastic to learn and grow in this space. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Posted 30+ days ago

Staff Data Scientist-Credit Risk Strategy -logo
Staff Data Scientist-Credit Risk Strategy
SoFiSan Francisco, CA
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are looking for a Credit Risk Manager/Staff Data Scientist to join our Risk Analytics and Verification Strategy within SoFi’s 1LOD Credit team. This team member will work in the team that is responsible for Risk Analytics and Verification Strategy across various SoFi lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans. The Credit Risk Manager will contribute to the performance analysis of SoFi lending products and provide insights into the drivers for losses and recommendations for strategy enhancement opportunities. Additionally, she or he will be responsible for independently developing and implementing income and employment verification strategies to balance a smooth user experience with effective loss prevention. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit, and Independent Risk Management groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages and strong problem-solving and communication skills. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using statistical analysis tools to get to the truth behind the data and inform decisions. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better.  What you’ll do: Draw strategic insights from data using statistical analysis tools to inform decisions and support SoFi’s overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking, data sources, technologies, and capabilities to SoFi. Develop income and employment verification strategies to enhance the verification funnel customer experience and increase conversion rates while maintaining a balanced approach to risk, business revenue, and customer experience. Design and execute A/B testing initiatives to continuously identify opportunities to improve customer experience while effectively managing credit and fraud risk Explore external credit data to identify trends in the market and industry. Collaborate with business partners such as Business Units, Operations, Marketing, Finance, Legal, and Compliance to deliver successful business results. Partner closely with implementation teams to deploy new strategies accurately. Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best, brightest, and most passionate quantitative team members. What you’ll need: 7+ years of experience in credit risk management roles, with at least 3 years of experience specializing in fraud and verification strategies within the consumer lending industry. Proven advanced analytical and technical skills in conducting sophisticated data analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems Direct experience in the credit strategy life cycle, including ideation, strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring Proficient in Python, SQL & Tableau  Strong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Nice to have: Experience using credit bureau tradeline data Experience in credit loss forecasting Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Posted 30+ days ago

Lead Data Engineer (P3330)-logo
Lead Data Engineer (P3330)
84.51° Cincinnati, OH
84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________   LEAD DATA ENGINEER – P3330 84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________ As Lead Data Engineer, your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices.  You’ll be working with data across 2 cloud platforms (Azure and GCP) and thus will be working with a wide variety of technologies.  A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques. Responsibilities Take ownership of systems, processes, and the tech stack while driving features to completion through all phases of the entire 84.51° SDLC.  This includes internal and external facing applications as well as process improvement activities: Provide Technical Leadership : Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges. Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets. Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms. Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries. Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.   Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments. Mentor Team Members: Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities. Draft and Review Documentation : Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.   Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions. Requirements: Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree. Proven experience in leading cross-functional teams and managing complex projects from inception to completion 5+ years of professional Data Development experience. 5+ years of experience with SQL and NoSQL technologies. 3+ years of experience building and maintaining data pipelines and workflows. 2+ years of experience developing with Python. 3+ years of experience developing Kafka solutions. 2+ years of experience in feature engineering for machine learning pipelines. Experience with GCP services such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow. Experience with CI/CD pipelines and processes. Experience with automated unit, integration, and performance testing. Experience with version control software such as Git. Full understanding of ETL and Data Warehousing concepts. Strong understanding of Agile principles (Scrum). Preferred Qualifications Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). Experience with GitHub SaaS/GitHub Actions. Experience understanding Databricks concepts. Experience with PySpark and Spark development. Experience with Service Oriented Architecture. IMPORTANT INFO Candidates must be able to come into the office on Monday, Tuesday, Wednesday and Thursday of each week. #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.   Pay Range $91,000 — $218,750 USD

Posted 6 days ago

State of Wisconsin Investment Board logo
Data Engineer
State of Wisconsin Investment BoardMadison, Wisconsin
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Job Description

Making a Difference
The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $156 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. We are the 9th largest public pension fund in the U.S. and the 25th largest public or private pension fund in the world. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB.
Serving more than 691,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,500 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS.
SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee.
Home To Top Talent
Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders.

Job Description:

About the Team
SWIB’s Technology & Data Division is a highly valued partner to our investment teams and a critical contributor to SWIB's continued growth and success. With approximately 75 employees, the division comprises (a) technology, including business systems analysts, design & development, infrastructure, and information security and governance teams; (b) data, including data science, investment data, investment information architecture, data engineering, and reporting; (c) business integration, change, and coordination; and (d) project management.
 
As a top asset owner, our technology and data systems address the entire breadth of investments. Our mission-critical technology and data are essential to deliver internally managed equity, fixed income, and hedge funds strategies, and to oversee external managers investing in both private and publicly traded assets. The team also runs the systems to operate and protect our organization. A few of our current key systems include SimCorp, eFront, Charles River, Snowflake, Markit, and FactSet.        

Position Overview

In this role, you will be responsible for conceptual, architectural, and technical requirements for all aspects of the company’s enterprise data warehouse initiatives. This role intersects data modeling and data architecture to provide next-generation data lake and data warehouse on the cloud technology (Snowflake). The Data Engineer is responsible for the design, development, and maintenance of the enterprise Data Warehouse.

Essential Activities:

  • Design, build, and optimize scalable, high-performance data pipelines and cloud-native data warehousing solutions using Snowflake and Azure. 
  • Utilize advanced SQL capabilities (e.g., CTEs, window functions, set operations, performance tuning) to support complex data transformations and integrations. 
  • Develop, schedule, and monitor data workflows using Snowflake Streams, Tasks, and Stored Procedures for real-time and batch ETL/ELT processes. 
  • Implement and maintain CI/CD pipelines using Azure DevOps and GitLab, automating the deployment and testing of data pipeline code and infrastructure. 
  • Work extensively within the Azure ecosystem, leveraging services like Azure Data Factory, Azure Storage, and Azure Functions to build robust data integration solutions. 
  • Develop and maintain dimensional and normalized data models (covering 1NF through 3NF) to support flexible and scalable data architecture. 
  • Create modular, version-controlled data transformation logic that supports automated documentation and testing. 
  • Ingest and transform data from diverse formats (JSON, CSV, Parquet, Avro) and sources, including APIs and both on-premise and cloud systems. 
  • Drive data quality and governance by establishing and enforcing standards, validation rules, and best practices for metadata management and data lineage to ensure the accuracy, consistency, and reliability of enterprise data. 
  • Document technical designs, transformation logic, and architectural decisions clearly and concisely for cross-functional use. 

  

The Ideal Candidate: 

  • Bachelor's degree in computer science, Engineering, Finance, or a related field. 
  • Exposure to the investment or financial services industry. 
  • 6–8 years of experience in data engineering, with a strong emphasis on SQL development, ETL/ELT design, and cloud-based data platforms. 
  • 2+ years of hands-on experience with Snowflake, including deep knowledge of Streams, Tasks, Procedures, and Snowflake-specific features like virtual warehouses and time travel. 
  • Possesses a strong commitment to data quality and governance, with a proven ability to establish and enforce standards, define validation rules, and implement best practices for metadata management and data lineage to ensure enterprise data is accurate, consistent, and reliable. 
  • Strong understanding of data modeling techniques, including both dimensional and normalized models. 
  • Solid experience working with Azure cloud services for data integration, processing, and orchestration. 
  • Experience with DBT, or similar tool, for transformation logic, modular pipeline development, and automated testing/documentation. 
  • Proven ability to manage multiple data sources and formats across complex architectures. 
  • Strong understanding of CI/CD practices in a data engineering context using Azure DevOps and GitLab. 

  

Optional but Preferred: 

  • Experience with Python for scripting, orchestration, and automation. 
  • Familiarity with Data Vault 2.0, Master Data Management (MDM), or enterprise data quality frameworks. 
  • Snowflake certification (e.g., SnowPro Core or Advanced). 

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment
The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB’s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB’s talent acquisition team and any questions can be answered by SWIB’s compliance team.