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Description AQMetrics is looking for a Data Integration and Data Operations Analyst to work with customers and cross functional teams at AQMetrics to continuously improve our data management capabilities in our SaaS platform. This is an opportunity to make a difference in a growing company. We are looking for an entrepreneurial individual who thrives on challenges and is looking for an opportunity to take AQMetrics data management products to the next level. Who We Are: AQMetrics is a leading provider of regulatory risk software to global financial institutions. Our SaaS platform is award-winning, and our range of products make regulatory risk management simple, secure, and globally compliant. What We Value: People First Putting people first is at the core of everything we do. It compels us to make decisions based on what is best for our people — employees, partners, and customers. Customer Delight We are customer focused. We strive to provide the best in class, to drive great customer experience through teamwork and high performance. Integrity We are committed to professional integrity. We conduct our business to the highest standards with skill, diligence and responsibility. Professional trust, honesty and compliance are at the core of our culture. Innovation We value ideas and encourage innovation every day. What you will do: Designing and Developing: Building and maintaining data pipelines that extract, transform, and load (ETL) data from various sources Data Integration and API Development : Implement integrations with internal and external data sources and APIs Collaborating with Teams: Working with cross-functional teams to gather data requirements and understand data sources Ensuring Data Quality: Implementing data quality checks and validation processes to maintain data integrity Monitoring and Troubleshooting: Overseeing data integration workflows to resolve issues and optimize performance Documenting Processes: Keeping detailed documentation of data integration processes, data flows, and system configurations Troubleshooting and Optimization: Maintaining the AQMetrics database Staying Informed: Keeping up with industry trends and best practices in data integration and management Providing Support and Training: Assisting end-users with data integration Requirements 1-3 years in a Data Analyst or Engineer role preferred Experience working collaboratively with application development teams to implement data mapping, data management and data integration solutions Good knowledge of database and data modelling techniques, and SQL proficiency. Experience troubleshooting databases and data issues using SQL Strong critical thinking skills and ability to analyze complex datasets Prioritization skills Focus on continuous improvement Storytelling skills. You can communicate your insights to your team, cross functionally and to Customers Linux experience and Shell scripting Experience with Amazon AWS and RDS BSc in Computer Science or Engineering degree, related technical discipline, or equivalent work experience Nice to have experience with data visualization tools Three days of in-office work per week is required Benefits Opportunity to be part of something special, AQMetrics is growing fast, and we want you to be part of our journey Remote Work People-centric culture Competitive salary 25 Days annual leave Health Insurance 401K Excellent holiday allowance Upskilling opportunities Flexible working What our Interview Process is like: Step 1- After you apply, our HR Manager may reach out to you for an introductory call Step 2- If your background is a match for the role, you may be required to complete a technical assessment (role depended) and/or phone interview with 1-2 people Step 3- If you continue through the process, you may be asked to come onsite to interview AQMetrics is an equal-opportunity employer. We are committed to an inclusive and diverse AQMetrics.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Scientific and Technological Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers. Key Responsibilities: Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform. Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design). Platform Guidance & Solutioning: Translate client scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging). Technical Optimization: Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible. Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges. Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis. Qualifications: Required Skills & Experience Advanced Scientific Degree: A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline). Data Analysis Proficiency: Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data). Technical Fluency: Hands-on experience with analytical tools and languages relevant to biomedical research. Having R coding experience is required. Knowing additional languages such Python and SQL and familiarity with cloud environments like AWS/GCP is a great added bonus . Team work: Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly. Client-Facing Experience: Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences. Problem-Solving Mindset: A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions. Preferred (Bonus) Qualifications: Experience in the biotech, pharma, or healthcare technology space. Familiarity with distributed computing environments and modern analytical platforms. Direct experience with oncology research. Experience with R package development. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. CHI: $75,000-$110,000 USDNYC/SF: $90,000-$120,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Cloud Engineering, Data & Analytics - Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering data-driven insights and solutions. This role offers a unique chance to immerse yourself in the world of data science, working alongside seasoned professionals to analyze complex datasets and contribute to impactful projects. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects that enhance your understanding of data analytics and its applications.In this role at PwC, you will have the opportunity to develop your skills in data modeling, financial data mining, and machine learning, while also gaining hands-on experience with tools like Python and statistical analysis software. You will be encouraged to ask questions, take initiative, and produce quality work that adds value to our clients and contributes to our team's success. This is an exciting opportunity to start building your personal brand and pave the way for future opportunities in the field of data science.Responsibilities- Supporting teams in data analysis and analytics projects to gain exposure to industry practices- Conducting research and gathering information to assist in the development of data-driven insights- Participating in algorithm development and machine learning initiatives to enhance predictive analytics capabilities- Utilizing tools such as Alteryx, Power BI, and Tableau for data visualization and complex data analysis- Assisting in data validation and data security processes to maintain data integrity- Engaging in customer analysis and business data analytics to inform strategic decision-making- Applying Python programming skills to develop and refine data models and statistical analysis- Collaborating with team members to create dashboards and reports that communicate key performance indicators and trendsWhat You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student's final year of school Summer internships typically take place during the summer preceding the student's final year of schoolWhat Sets You Apart- Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics- Preference for a 3.3 overall GPA- Demonstrating proficiency in Python for data analysis- Utilizing machine learning techniques for predictive analytics- Applying data visualization skills with Tableau and Power BI- Conducting complex data analysis to derive actionable insights- Developing algorithms to enhance data processing efficiency- Engaging in analytic research to support data-driven decisions-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale. Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. Responsibilities: Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Proficiency in Python and objected-oriented programming, e.g. JavaScript Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. Ability to drive a project and work both independently and in a cross-functional team. Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication. Ability to travel as needed Preferred Qualifications: Experience with scalable ML (MapReduce, Spark). Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning. Experience with reinforcement learning. A portfolio of projects (GitHub, papers, etc.). Experience working with modern IDEs and AI agent tools as part of accelerated development workflows. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $123,000-$185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

This is a hybrid role based in Chicago or our Bay Area (San Francisco or Palo Alto) offices and will require you to be in office Tuesdays and Thursdays. What's so interesting about this role? The big data space is growing rapidly at Grindr and we're looking to build an exceptional data engineering team with chops in cutting edge real-time streaming technologies and ambitions to achieve high quality and reliability with TDD, automation, and continuous delivery. Beyond pipelines, this role is about shaping the platforms and tools that empower our data scientists and machine learning engineers to do their best work. As a Senior Staff Data Engineer (Data Platform), you'll play a critical role in defining what "great" looks like for our data platform. You'll focus on creating a seamless development experience for DS and ML engineers, ensuring they can move quickly from idea to production with reliable, scalable systems behind them. At this level, you'll not only solve complex technical challenges-you'll also mentor other engineers and influence the long-term direction of Grindr's data platform. What's the job? Design, develop, and deliver scalable data platforms that enhance the developer experience for data scientists and ML engineers. Solve technical problems of the highest scope and complexity, influencing platform direction and architecture across teams. Connect tools and systems into cohesive, automated workflows that eliminate repetitive work and unlock faster experimentation. Lead implementation of core platform technologies like dbt (from the ground up), Airflow (critical), and distributed computing frameworks (Spark, Databricks, or similar). Drive adoption of long-term, scalable solutions instead of one-off fixes. Provide mentorship for engineers on your team and across the org. Stay on top of new technologies through R&D and prototyping to continuously improve developer experience, scalability, and reliability. Ensure governance and compliance standards are met around data representation, storage, classification, and retention. Work closely with Data Scientists, ML Engineers, SREs, and Product Managers to make sure platforms and APIs meet real user needs. What we'll love about you 10+ years of experience working with data at scale, with a strong focus on data platforms and developer experience. Expert in Python and SQL, with significant experience in distributed data systems. Hands-on experience with Airflow (must-have) and dbt (able to set up from scratch). Strong knowledge of Spark, Databricks, or other distributed computing platforms for ML training. Experience with AWS and cloud-native architectures. Background in software engineering with a transition into data engineering preferred - able to apply SWE rigor to data platform design. Demonstrated ability to enhance developer experience - for example, building holistic automated solutions rather than one-off tables or fixes. Track record of mentorship and technical leadership at the organizational level. Familiar with data governance, classification, retention, and compliance frameworks (SOC2, GDPR, CCPA). What you'll love about us Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just. Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents. Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S. Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend. About Grindr Grindr is building the global gayborhood in your pocket. With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world. Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1. Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we're building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us. Grindr is an equal-opportunity employer To learn more about how we handle the personal data of applicants, visit ourEmployee and Candidate Privacy Policy.

Job Description Job Title: Data Architect- Enterprise Data Platform Location: Corporate Department: IT Pay Band: Specialist Job Summary: The Data Architect- Enterprise Data Platform provides data strategy, design, development, performance, refinement and governance oversight of Wawa's Enterprise Data Platform (EDP), including Enterprise Data Warehouse and Information Marts. The role is critically important to ensuring that Wawa's information architecture solutions that are aligned with the objectives and standards of the enterprise data management strategy and enable optimal performance, stability, and extensibility. The Data Architect EDP is responsible for analyzing and translating business, application, information, data, reporting, and analytical requirements into an architectural blueprint that outlines solutions to achieve business objectives. Principal Duties: Provide subject matter expertise on Data Architecture. Understand platform and integration capabilities to advocate/discuss these with business and technology stakeholders. Contribute to the development and evolution of the Enterprise Reference Architecture and the Information Architecture. Communicate, educate and ensure adherence to sound data management principles and where possible, the re-use of data as well creating and managing meta-data and business rules for the use of data. Establish guiding principles and a reusable methodology for managing information architecture deliverables. Analyze business processes, operational applications and source data to understand dependencies, anomalies and implicit business rules that impact the ability to manage the master data. Create the high-level architecture and data solution design for projects (conceptual model, integration model, sourcing) in alignment with the portfolio and enterprise data strategy. Translate enterprise or business needs into long-term information architecture solutions. Apply enterprise vision to all portfolio, technical and application projects understanding and communicating different architectural models/strategies that are consistent with business strategies. Design, develop and maintain logical and physical data models. Perform data profiling and analysis and develop data models that correspond to the business and technical requirements. Review and sign-off on all project data models. Work with project managers and across the architecture organization to develop the approach and cost estimates to produce information architecture deliverables for projects. Assess and facilitate engagement of other data management services (DBA and data integration) for the projects within the portfolio. Provide high level tracking of project progress, with respect to data architecture deliverables, to ensure timely delivery and efficient use and staffing of data architecture resources. Design databases, data lakes, and data warehouses. Develop and maintain a formal description of the data and data structures including the data models, data flow diagrams, data dictionaries and technical metadata. Collaborate with Data Engineers on data model, its maintenance and optimization as well as end-to-end data driven integration strategy. Participate in developing the future state data architecture standards, guidelines, and principles. Define vision, strategy and principles for data management. Define standards for naming, describing, governing, managing, modelling, cleansing, enriching, transforming, moving, storing, searching and delivering all data within the enterprise. Builds high quality data pipelines driving analytic solutions. Develop Proof-of-Concept projects to validate new architectures and solutions. Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features. Create and publish architecture strategies, statements of direction, standards, and guidelines. Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements. Partner with various internal and external teams to drive implementation and testing. Gain alignment on critical issues with stakeholders. Apply test and learn mindset to define requirements and manage product backlog. Work with agile development teams to plan iteration, clarify stories and review test cases. Test and accept product features. Essential Functions: Ability to communicate and negotiate, at both team and leadership levels. Facilitate high performance collaborative teams to rapidly develop and implement innovative, sustainable solutions. Understand the agile ways of working and influence behavioural change as it relates to SAFe framework. Remove barriers and make decisions quickly, while gaining alignment. "Fail fast" and move quickly approach. Articulate strategy and initiatives into action plans. Excellent coach with a solid understanding of what it takes to drive agile transformations. Responsible for stakeholder communication and expectation management skills. Be a proactive problem solver. Proven ability to act with tenacity and think differently. Self-direct and independently organize work with little supervision. Ability to resolve conflict through negotiation, reasoned discussion or escalation and drive resolution. Effectively engage and manage multiple projects at once. Demonstrated understanding of systems Outstanding communication, presentation and leadership skills Basic Qualifications: Degree in Computer Science, Mathematics, Statistics, MIS or Marketing preferred 5+ years' experience in data architecture, data warehousing and data lake platforms Applied experience and expertise in data architecture concepts (e.g. model management, meta-data management, data governance) Experience delivering concurrent, large information management projects at all phases-from project definition through design and delivery Demonstrated proficiency in requirements gathering and analysis processes and methodologies Experience developing a data strategy and working within and influencing the associated policies. Understanding of cloud (AWS, GCP) computing and architecture Understanding of Big Data and related data management technologies Demonstrated knowledge of Agile process, principles and product development process as an Agile Product Owner Experience with Domain Driven Design and Service Oriented Architecture preferred. Experience working with Data Models include working with an Enterprise Canonical Data Model preferred. Experience with Data Vault methodology preferred. Experience working with Snowflake and Databricks Experience working with Data Integration tools, Data Flow Design and source to target mapping required Wawa will provide reasonable accommodation to complete an application upon request, consistent with applicable law. If you require an accommodation, please contact our Associate Service Center at asc@wawa.com. Wawa, Inc. is an equal opportunity employer. Wawa maintains a work environment in which Associates are treated fairly and with respect and in which discrimination of any kind will not be tolerated. In accordance with federal, state and local laws, we recruit, hire, promote and evaluate all applicants and Associates without regard to race, color, religion, sex, age, national origin, ancestry, familial status, marital status, sexual orientation or preference, gender identity or expression, citizenship status, disability, veteran or military status, genetic information, domestic or sexual violence victim status or any other characteristic protected by applicable law. Unlawful discrimination will not be a factor in any employment decision.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $230,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

This position is on-site 2-3 days in Philadelphia About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology's transition from microscope to images, and to use AI to change the way we think about cancer. We can't change medicine alone. That's why we're looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind. At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About this Position As a Senior Data Engineer, you will contribute to Proscia's growing Real World Data (RWD) business, which operates as a "startup within a startup." In this entrepreneurial environment, you will help build and scale innovative data solutions that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens. Success in this role requires independence, adaptability, and close collaboration with cross-functional teams while maintaining alignment with broader engineering initiatives. What You'll Do Working at a startup like Proscia means wearing many hats, but when you come to work, you can expect to focus on the following: Develop and refine data pipelines in collaboration with the RWD team and customers, ensuring seamless extraction, transformation, and loading (ETL) of data from customer systems into Proscia's repositories. Work independently to identify and implement process improvements, such as automating manual data migration tasks to accelerate data flows. Design, build, and optimize API integrations, including REST and event-driven/pub-sub architectures, to enable real-time data ingestion, transfer, and quantification. Modify and create Python scripts to allow customers to efficiently upload data, including images, metadata, and other formats. Architect data models, data warehouse design patterns and scalable database solutions to support rapidly growing data while ensuring efficient performance and metadata processing. Collaborate with cross-functional teams, including the core engineering and AI teams, to align technical strategies and ensure seamless integration of RWD solutions with the larger Proscia platform. Operate with a startup mindset, contributing to the RWD team's agility and entrepreneurial spirit while delivering high-impact results. What We're Seeking We're looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments and are ready to build the plane while flying it. Our ideal candidate has: 3-5+ years of professional experience with Python scripting for data management. 3+ years of experience with detailed knowledge of data warehouse technical architectures. Strong analytical skills and attention to detail, with a proactive approach to solving problems. Experience with JavaScript and familiarity with modern frameworks (preferred). Proficiency in SQL and/or PostgreSQL. Hands-on experience with REST API development and integrations. Experience in cloud platforms, particularly AWS (preferred). Expertise with Snowflake or similar data warehouse platforms Software engineering principles testing (definition of unit tests, integration tests), setting up CI/CD pipelines and experience with containerization technologies like Docker and orchestration tools like Kubernetes. The ability to work independently within a cross-functional team and coordinate effectively across other engineering teams to design and implement high quality data pipelines. A Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering (Master's degree preferred). Experience working in the life sciences/biopharmaceutical industry is a plus. Beyond Just Work At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth. Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction. We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. Unlock the Power of Data at Pacific Life. We're seeking talented Lead Data Engineer to join our Pacific Life Investments Data Team onsite in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Lead Data Engineer you'll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the Investments data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Help build scalable products with robust security, quality and governance protocols. Create low-level design artifacts, including mapping specifications. Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. Create unit/integration tests and implement automated build and deployment. Participate in code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage and execute work. Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: Bachelor's degree in Computer Science, Data Science or Statistics 7+ years of experience in analysis, design, development, and delivery of data 7+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools Understanding of data engineering best practices and data integration patterns 2+ years of experience with DevOps and CI/CD 1+ years of experience (not just POC) in using Git and Python Agile Scrum work experience Effective communication & facilitation; both verbal and written Team-Oriented: Collaborating effectively with team and stakeholders Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: Investments or FINTECH domain knowledge preferred Strong Data analysis skills and /or data mining experience Experience with one or more Integration tools (Matillion, Informatica, SQL SSIS, DBT) Experience with Snowflake and DBT Works independently with minimal guidance. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife #LI-DW1 Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Ingestion and Movement platform. This role will help drive product direction for our data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. Description As a Product Manager for Data Ingestion and Movement, you will be responsible for supporting the product vision and execution for GEICO's data ingestion and movement products. To successfully shape a platform that enables pipeline-as-a-service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value. Key Responsibilities Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs Help create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short-term delivery with long-term strategic objectives Support evangelizing the Data Ingestion and Movement platform across the organization and help drive stakeholder alignment Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy Support requirement gathering and product strategy for data ingestion, ETL/ELT pipelines, and data movement services Understand end-to-end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities Help define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance Support customer roadshows and training on data ingestion and movement capabilities Build instrumentation and observability into data ingestion and movement tools to enable data-driven product decisions and pipeline monitoring Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products Partner with customer success, support, and engineering teams to create clear feedback loops Translate data ingestion and movement technical capabilities into business value and user benefits Support alignment across multiple stakeholders and teams in complex, ambiguous environments Qualifications Required Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.) Experience with data integration APIs, connectors, and data pipeline orchestration tools Basic understanding of data pipeline monitoring, observability, and data quality validation practices Experience in cloud data ecosystems (AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Good communication, stakeholder management, and cross-functional collaboration skills Strong organizational skills with ability to manage product backlogs Preferred Previous experience as a software or data engineer is a plus Strong business acumen to prioritize features based on customer value and business impact Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.) Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion Insurance industry experience Experience Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure Track record of delivering successful products in fast-paced environments Experience supporting complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making Education Bachelor's degree in computer science, engineering, management information systems, or related technical field required MBA/MS or equivalent experience preferred Annual Salary $88,150.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER - TOP SECRET CLEARANCE (APPLICATION SOFTWARE, DATA) The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. Our team is creating systems to ingest and store concurrent streams of data from many always-on assets to manage the world's largest satellite constellation, reusable rockets, and Dragon spacecraft. Other applications range from platforms that enable rapid build and reuse of Starship, designing the next generation manufacturing software that will be used in high throughput factories for Starlink, and public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. RESPONSIBILITIES: Develop highly reliable and scalable data pipelines to empower engineers across SpaceX Create new applications that improve how the business at SpaceX operates Collaborate with peers on architecture, design, and code reviews Build prototypes to prove out key design concepts and quantify technical constraints Own all aspects of software engineering and product development Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree 1+ years of experience in full stack development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: Programming experience in Python, C#, Java, Scala, Go or similar languages Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar Experience with relational and non-relational databases, data lakes e.g. HBase, Hive, Delta Lake, PostgreSQL, CockroachDB or similar Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar Good understanding of version control, testing, continuous integration, build, deployment and monitoring Some front-end experience in Angular, React, or similar JavaScript framework Good understanding of statistics, machine learning algorithms and frameworks ADDITIONAL REQUIREMENTS: Active Top Secret or TS/SCI. Note that an active clearance may provide the opportunity for you to work on sensitive SpaceX missions. If so, you will be subject to pre-employment drug and random drug and alcohol testing Willing to work extended hours and weekends when needed COMPENSATION AND BENEFITS: Pay Range: Data Engineer/Level I: $120,000.00 - $145,000.00/per year Data Engineer/Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

Senior Clinical Data Scientist - Applied Data Enablement Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity We are seeking a highly skilled and motivated Senior Clinical Data Scientist to join our Catalysts team. This pivotal role focuses on enabling our customers to make informed decisions based on high-quality tutorials and insights into Truveta Data. As a Senior Clinical Data Scientist, you will primarily focus on developing tutorials and enablement studies (approximately 75% of your time), leveraging your expertise in data exploration, analysis, and validation. The remaining 25% of your work will involve presenting and teaching these materials to customers, delivering actionable insights that enhance research outcomes. Responsibilities Data expertise: Develop a deep understanding of Truveta Data, its characteristics, and its applications in clinical research. Reporting and recommendations: Create customer-facing reports and tutorials that summarize findings and provide actionable recommendations for research studies utilizing Truveta Data, driven by a prioritization list derived from customer and internal stakeholder needs. Templates and intelligence: Design tailored artifacts and templates for multiple skill levels, serving as key inputs to enhance Truveta's AI initiatives. Communication: Present findings in both written and oral formats to diverse audiences, including executive-level customers, detail-oriented analysts, and internal product and engineering teams. Engage with customers to understand research needs and effectively communicate results. Studio expertise: Develop a deep understanding of Truveta Studio, our analytical platform. Code development: Write high-quality, reproducible analysis code in SQL, R, Python, and Spark, and share it with internal teams and customers for educational purposes. Required Skills Education: Bachelor's degree or equivalent in a quantitative field such as computer science, engineering, statistics, mathematics, or economics. Technical skills: Minimum of 3 years of hands-on experience in data analytics, including proficiency in SQL, Spark, R, and/or Python, with a focus on executing data exploration, profiling, and validation projects. Collaboration experience: Proven track record of working effectively with cross-functional teams and communicating complex findings to diverse audiences. Self-motivated: Ability to thrive in a fast-paced environment, demonstrating initiative and delivering high-quality results. Communication skills: Exceptional written and verbal communication skills, with the ability to convey project status, timelines, and project outcomes clearly. AI skills: Proficient in applying generative AI and related tools across workstreams to enhance efficiency and scalability. Preferred Qualifications Healthcare data: Experience working with and analyzing large-scale healthcare data. Teaching experience: Background in teaching coding and data analysis techniques to diverse audiences. Statistical expertise: Experience with statistical programming and methodologies, including time series, survival, and longitudinal analyses. Scientific contributions: Proven track record of publication in peer-reviewed literature, including as first author. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $155,000 to $170,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The New York Times is looking for a data engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases. This is a hybrid role based in our New York City headquarters. Responsibilities: Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies. Ingest and organize structured and unstructured data for widespread reuse across patterns. Implement mechanisms to ensure data quality, observability and governance best practices. Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments. Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies. Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 2+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Programming fluency with Python. Experience using version control and CI/CD tools, such as Github and Drone. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. REQ-018497 The annual base pay range for this role is between: $110,000-$130,000 USD The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often-that's what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at-all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals-no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we're building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. Job Description We are seeking an exceptional Analytics Engineer & SQL Guru who combines deep technical mastery with analytical thinking. You will design and optimize data systems that not only answer business questions - but produce actionable insights no one thought to ask. This role blends hands-on SQL and data modeling with storytelling and decision influence. You'll transform raw data into clarity, uncover patterns hidden in plain sight, and help shape critical business strategies through insight. The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. Basic Qualifications Master's degree in data and technology management, or equivalent work experience Ten or more years of experience in data management and business intelligence in the financial services industry Preferred Skills/Experience Outstanding data analysis and critical-thinking skills - ability to find the "story in the data" Analytics & business alignment converts fuzzy questions into precise, production-ready SQL metrics (clear grain/filters/denominators); builds time-series analyses (sessionization, cohorts, funnels, retention) and point-in-time SCD lookups that match business definitions. Expert-level SQL Craft (Oracle preferred) with proven experience in - complex querying, query tuning and performance optimization Strong data modeling and data architecture expertise (conceptual, logical, physical models) Proficiency in Excel (pivot tables, advanced formulas, data validation) Ability to answer questions that haven't been asked - proactive insight generation Excellent communication skills - can translate analytical findings into compelling narratives Strong organizational and analytical skills If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $126,820.00 - $149,200.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Ingestion and Movement platform. This role will help drive product direction for our data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. Description As a Product Manager for Data Ingestion and Movement, you will be responsible for supporting the product vision and execution for GEICO's data ingestion and movement products. To successfully shape a platform that enables pipeline-as-a-service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value. Key Responsibilities Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs Help create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short-term delivery with long-term strategic objectives Support evangelizing the Data Ingestion and Movement platform across the organization and help drive stakeholder alignment Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy Support requirement gathering and product strategy for data ingestion, ETL/ELT pipelines, and data movement services Understand end-to-end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities Help define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance Support customer roadshows and training on data ingestion and movement capabilities Build instrumentation and observability into data ingestion and movement tools to enable data-driven product decisions and pipeline monitoring Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products Partner with customer success, support, and engineering teams to create clear feedback loops Translate data ingestion and movement technical capabilities into business value and user benefits Support alignment across multiple stakeholders and teams in complex, ambiguous environments Qualifications Required Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.) Experience with data integration APIs, connectors, and data pipeline orchestration tools Basic understanding of data pipeline monitoring, observability, and data quality validation practices Experience in cloud data ecosystems (AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Good communication, stakeholder management, and cross-functional collaboration skills Strong organizational skills with ability to manage product backlogs Preferred Previous experience as a software or data engineer is a plus Strong business acumen to prioritize features based on customer value and business impact Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.) Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion Insurance industry experience Experience Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure Track record of delivering successful products in fast-paced environments Experience supporting complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making Education Bachelor's degree in computer science, engineering, management information systems, or related technical field required MBA/MS or equivalent experience preferred Annual Salary $88,150.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

AQMetrics is looking for a Data Integration and Data Operations Analyst to work with customers and cross functional teams at AQMetrics to continuously improve our data management capabilities in our SaaS platform. This is an opportunity to make a difference in a growing company. We are looking for an entrepreneurial individual who thrives on challenges and is looking for an opportunity to take AQMetrics data management products to the next level. Who We Are: AQMetrics is a leading provider of regulatory risk software to global financial institutions. Our SaaS platform is award-winning, and our range of products make regulatory risk management simple, secure, and globally compliant. What We Value: People First Putting people first is at the core of everything we do. It compels us to make decisions based on what is best for our people — employees, partners, and customers. Customer Delight We are customer focused. We strive to provide the best in class, to drive great customer experience through teamwork and high performance. Integrity We are committed to professional integrity. We conduct our business to the highest standards with skill, diligence and responsibility. Professional trust, honesty and compliance are at the core of our culture. Innovation We value ideas and encourage innovation every day. What you will do: Designing and Developing: Building and maintaining data pipelines that extract, transform, and load (ETL) data from various sources Data Integration and API Development : Implement integrations with internal and external data sources and APIs Collaborating with Teams: Working with cross-functional teams to gather data requirements and understand data sources Ensuring Data Quality: Implementing data quality checks and validation processes to maintain data integrity Monitoring and Troubleshooting: Overseeing data integration workflows to resolve issues and optimize performance Documenting Processes: Keeping detailed documentation of data integration processes, data flows, and system configurations Troubleshooting and Optimization: Maintaining the AQMetrics database Staying Informed: Keeping up with industry trends and best practices in data integration and management Providing Support and Training: Assisting end-users with data integration Requirements 1-3 years in a Data Analyst or Engineer role preferred Experience working collaboratively with application development teams to implement data mapping, data management and data integration solutions Good knowledge of database and data modelling techniques, and SQL proficiency. Experience troubleshooting databases and data issues using SQL Strong critical thinking skills and ability to analyze complex datasets Prioritization skills Focus on continuous improvement Storytelling skills. You can communicate your insights to your team, cross functionally and to Customers Linux experience and Shell scripting Experience with Amazon AWS and RDS BSc in Computer Science or Engineering degree, related technical discipline, or equivalent work experience Nice to have experience with data visualization tools Three days of in-office work per week is required Benefits Opportunity to be part of something special, AQMetrics is growing fast, and we want you to be part of our journey Remote Work People-centric culture Competitive salary 25 Days annual leave Health Insurance 401K Excellent holiday allowance Upskilling opportunities Flexible working What our Interview Process is like: Step 1- After you apply, our HR Manager may reach out to you for an introductory call Step 2- If your background is a match for the role, you may be required to complete a technical assessment (role depended) and/or phone interview with 1-2 people Step 3- If you continue through the process, you may be asked to come onsite to interview AQMetrics is an equal-opportunity employer. We are committed to an inclusive and diverse AQMetrics.