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Industry/Sector Not Applicable Specialism Managed Services Management Level Manager 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Manager 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Data, Analytics & Insights team you are expected to lead the creation and implementation of impactful learning initiatives. As a Senior Manager you are expected to guide the execution of our Infinite Learning Strategy, maintaining a customer-centric approach that supports PwC's goals and vision. You are responsible for building trust with multi-level teams and stakeholders through open and honest conversation, motivating and coaching teams to solve complex problems. Responsibilities Lead and manage customer relationships for Data & Analytics engagements Collaborate with IT and business to transform insights into strategic opportunities Guide a team of managers, data architects, and engineers Drive business outcomes through analytics interventions Develop and implement impactful learning initiatives Maintain alignment with PwC's goals and vision Foster trust through open and honest communication Motivate and coach teams to solve complex problems What You Must Have Bachelor's Degree 12 years of experience What Sets You Apart Bachelor's Degree in Computer and Information Science, Information Technology preferred 10 years in data and analytics management 8 years leading data and analytics relationships 3-5 years with managed services organization Broad experience with ITIL processes Working with CxOs to drive business outcomes Leading cloud scale development for data integration Leading ideation and development of accelerators PMP certification or scrum master Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC 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: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Company Overview TestPros is a successful and growing business, established in 1988 to provide Information Technology (IT) technical support services to a wide range of Commercial and U.S. Federal, State, and Local Government customers. Our capabilities include Program Management, Program Oversight, Process Audit, Intelligence Analysis, Cyber Security, NIST SP 800-171 Assessment and Compliance, Computer Forensics, Software Assurance, Software Testing, Test Automation, Section 508 and WCAG Accessibility Assessment, Localization Testing, Independent Verification and Validation (IV&V), Quality Assurance (QA), Compliance, and Research and Development (R&D) services. TestPros is an Equal Opportunity Employer. TestPros delivers innovative independent IT assessment solutions to critical challenges facing the nation and the world.  We support the U.S. Federal Government and Commercial clients within the continental USA. TestPros is dedicated to making lives better, safer and more secure. Citizenship:  U.S. Citizenship Location : Remote (and New Carrollton MD, some travel might be required) Clearance:  Public Trust Clearance  Project:  The IRS requires contractor support to perform a variety of testing services, including Systems Acceptability Testing (SAT), Integration Testing, Performance Testing, and related support services like Test Automation and Test Data Management. These services ensure IRS applications and systems function as intended, comply with business requirements, and are free of defects before production implementation. The goal is to enhance the taxpayer experience by providing high-quality, accurate service. The EST organization within IRS IT supports the modernization of tax processing systems, managing the software life cycle from requirements through to operations. The organization is responsible for executing applicable tests, tracking defects, and communicating results to stakeholders. The IRS is evolving its testing methodologies to incorporate agile practices and extensive automation, supporting a modern, iterative approach to application delivery. Responsibilities Create synthetic and masked data using IRS-approved toolsets. Develop test data frameworks, strategies, and documentation. Coordinate test data delivery across environments. Partner with project teams to define data requirements. Track data lineage and support TDM program development. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field (preferred). 4+ years in test data creation and management Experience in Agile  Must be eligible to obtain a US security clearance. IRS experience  Benefits and Perks TestPros offers competitive salary, medical/dental/vision insurance, life insurance, 3 weeks of paid vacation, 2 weeks of paid federal holidays, education/training and professional certifications, 401(k) retirement plan with up to 4% company match, opportunities for professional growth and much more!  All benefits are per TestPros current policies and are subject to change without notice.  Benefits are available to full-time employees only. Powered by JazzHR

Job Title:  Data and AI Engineer Company: BLN24 About Us:  We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments. Overview Be part of a transformative digital mission supporting the National Weather Service (NWS) at NOAA. As a Data and AI Engineer, you will help architect and implement advanced data pipelines, scalable analytics frameworks, and intelligent automation capabilities to modernize legacy applications, empower forecasters, and deliver critical insights that protect lives and property. This role directly supports NOAA’s multi-phase modernization effort, including the enhancement of the Storm Event Database (SED), optimization of storm reporting systems, and evaluation of Generative Artificial Intelligence (AI) to drive operational efficiency across weather data workflows. Key Responsibilities: Data Architecture & Engineering Design and build scalable, cloud-compatible data pipelines to support modernization of the Storm Event Database (SED) and storm reporting applications. Develop Extract, Transform, Load (ETL) solutions for ingesting structured and unstructured meteorological data. Ensure data quality, performance, and accessibility through normalization, deduplication, and schema optimization. Enable advanced analytics by organizing historical and real-time weather event data for use in forecasting, alerting, and impact analysis. AI/ML Integration & Generative AI Exploration Evaluate, prototype, and integrate Generative AI technologies (e.g., LLMs, synthetic data, intelligent assistants) to enhance NOAA workflows and software development processes. Identify and document suitable use cases for AI acceleration in operational settings, such as text generation for weather summaries or developer code assist tools. Collaborate with DevSecOps and cyber teams to ensure AI systems meet federal guidelines for security, privacy, and ethical use. Analytics & Insights Development Partner with NOAA analysts, meteorologists, and engineers to define analytical requirements that support mission outcomes. Deliver predictive models, trend analyses, and visual dashboards that help NWS better communicate weather phenomena to the public and decision-makers. Optimize query logic and data warehouse structure to improve accessibility and speed for internal NOAA users and external stakeholders. Agile Delivery & Collaboration Participate in Agile sprints to prioritize backlog items, demo technical solutions, and continuously improve delivery outcomes. Collaborate with Full Stack Developers and Cloud Architects to integrate data services into modernized applications. Contribute to documentation, testing, and configuration management in alignment with federal DevSecOps standards. Required Qualifications Bachelor’s degree in Computer Science, Data Engineering, Statistics, or related technical field 5+ years of experience in data engineering, analytics, or machine learning development Proficiency in Python, SQL, and one or more data frameworks (e.g., Apache Spark, Airflow, Kafka) Experience working with cloud data platforms (e.g., AWS, Azure, or GCP) and data lakes/warehouses Familiarity with model development and deployment (e.g., MLflow, TensorFlow, Hugging Face Transformers) U.S. Citizenship and eligibility for Public Trust clearance Preferred Qualifications Experience with federal or scientific data systems (NOAA, NASA, USGS, etc.) Exposure to Generative AI tools (e.g., OpenAI, Anthropic, Cohere) and prompt engineering techniques Understanding of federal data security standards (e.g., NIST 800-53, FISMA, FedRAMP) Experience with dashboarding and visualization tools (e.g., Tableau, Power BI, Dash) What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans. You can join one of the fastest growing companies headquartered in the Washington DC Metro Area.  We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability. Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home. BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.   Powered by JazzHR

cFocus Software is seeking a Data Security Analyst contract with HUD with the Single Family Housing (SFH): Required Qualifications: Ability to pass a HUD Background Investigation Strong experience with CSAM, RMF, FIPS, and Incident Response plans Bachelor’s in Related IT Field Desired Qualifications: HUD Experience Integrated Disbursement & Information System (IDIS Online) HUD Environmental Review Online System (HEROS) CPD Grants Management Process (GMP) Disaster Recovery Grant Reporting (DRGR) Electronic Special Needs Assistance Program System (e-snaps) Title V Property Management System (Title V) The Data Security Analyst position performs the following actions: Under general direction, performs all procedures necessary to ensure the safety of information systems and to protect systems from intentional or inadvertent access or destruction. Interfaces with user community to understand their security needs and implements procedures to accommodate them. Ensures that user community understands and adheres to necessary procedures to maintain security. May require familiarity with domain structures, user authentication, and digital signatures. Conducts accurate evaluation of the level of security required. May require understanding of firewall theory and configuration. Must be able to weigh business needs against security concerns and articulate issues to management. At cFocus Software, we take good care of our employees!!  We offer a generous benefits package including: 3 weeks of paid leave 401(k) with 6% employer match Medical/Dental/Vision insurance coverage Life/Long Term/Short Term Disability Insurance Annual training Spot bonuses, generous Xmas party gifts Powered by JazzHR

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk! The Senior Manager of Platform Partnerships will be pivotal in executing TTD’s platforms strategy in-market. With a blend of strong process orientation, project management skills, creativity, and a commercial mindset, you will foster collaboration through both inbound and outbound conversations and support our rapidly expanding platform partner ecosystem.     We are seeking agile, team-oriented professionals who embody discipline, compassion, and a curiosity for technical learning.  You should possess a strategic mindset and data-driven decision-making skills, along with a solid understanding of the adtech and martech landscape. Your role will involve managing existing relationships to drive the utilization of our integrations and first party data usage among advertisers. You will champion Unified ID 2.0, European Unified ID, and promote adoption of Galileo, TTD’s suite of identity solutions and platform integrations, including first-party audience and measurement API-based products.  The ideal candidate would thrive in a fast-paced environment and be comfortable building relationships with both internal stakeholders and external clients and partners. There is a strong preference for this person comes from 1P consumer platforms such as a customer data platform, clean room or data warehouse.   What you’ll do:   Partner Management and Cross-Team Collaboration   Drive top-line revenue growth through adoption of platform partner integrations among target accounts.   Serve as a subject matter expert on The Trade Desk API’s and integrations with your designated partners, providing support to client services, traders and sales teams.   Improve, expand and iterate on partner platform integrations through relationship building and collaborative go-to-market efforts with assigned partners.     SME and Evangelist   Serve as the subject-matter-expert on first party UID2.0, EUID, tech-stack strategy, and nuances of platform partnerships.   Collaborate on go-to-market strategies, messaging and narratives with platform marketplace partnerships.   Drive adoption of platform partnerships through ongoing training and enablement of global commercial teams.   Support strategic client meetings as subject matter expert to help win or retain business, drive adoption of offerings, and provide thought leadership on both global and local TTD identity and platform strategies.     Who you are:   5+ years in adtech/martech roles in a partner management or related discipline   Knowledgeable of the adtech and martech landscape and the role identity plays within it   Currently works for a customer data platform, clean room or data warehouse in a partnership capacity   Proven ability to drive vision and partner management   Thrives in a fast-paced, dynamic working environment with changing priorities   Skilled in building strong relationships with internal (Legal, Finance, Product, etc.) and external partners   Experience managing programs across cross functional teams, developing processes and coordinating reporting    Comfortable with Excel and PowerPoint as analysis and presentation tools   Experience with Slack, Jira (or other ticketing systems), Crossbeam is a plus      #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. NY, CO, CA, and WA residents only: In accordance with NY, CO, CA, and WA law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year.  Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.  The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $123,900 — $227,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at   accommodations@thetradedesk.com You can also contact us using the same email address if you have a disability and need assistance to access our Company website.   When contacting us, please provide your contact information and specify the nature of your accessibility issue.  

Data Scientist II, Channels Team Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to production and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders. We are seeking a Data scientist II to join our Channels team. In this role, you will work closely with product and engineering teams to develop and implement data-driven solutions that drive strategic insights and measurable impact to improve advertising bidding and channel buying strategies. The main job directions include: Develop predictive models (e.g., recommendation systems) using machine learning and statistical techniques to drive business impact. Design and analyze experiments to measure model performance and support data-driven decisions. Build custom solutions tailored to our unique environment, where off-the-shelf models often don’t scale effectively. Collaborate with product teams to understand business goals and translate them into actionable data science solution. Work closely with engineering teams to deploy models from prototype to production, ensuring smooth integration into products. Effectively communicate models, algorithms, and insights to both technical and non-technical stakeholders.   WHO WE ARE LOOKING FOR Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of predictive models and solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and machine learning Hands-on experience building data science solutions at scale. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver the data science solution and models   WHAT YOU BRING TO THE TABLE We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: BS/MS with 4+ years or a PhD with 2+ years of experience working in a DS and ML role that involves bringing products from ideation to production. Experience in building ML model in always-on production system and working with diverse technologies and data sources Proficient in Python Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets. Experience in programmatic advertising and/or real-time auctions is preferred Experience in Deep Learning, PyTorch/Tensorflow is preferred. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year.  Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.  The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200 — $189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at   accommodations@thetradedesk.com You can also contact us using the same email address if you have a disability and need assistance to access our Company website.   When contacting us, please provide your contact information and specify the nature of your accessibility issue.  

Our mission at Greenhouse is to make every company great at hiring – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can help companies measurably improve the way they hire.  Join us to do the best work of your career, solving meaningful problems with remarkable teams. Greenhouse is searching for a Senior Software Engineer to join our team! As a member of the Data Experience team, you will actively contribute to a swift software release cycle and the overall success of Greenhouse. Our Data Experience team owns our Reporting capabilities in Greenhouse Recruiting. You'll lead key projects, provide technical guidance, collaborate with product and design, and mentor junior engineers, directly contributing to the growth and evolution of our platform. Learn more about our engineering culture here ! Who will love this job A mentor - you're passionate about guiding and developing your peers, always ready to share your knowledge, lead projects, and contribute to the team's collective success A doer – you're driven to get things done, act with agility, and adapt seamlessly to dynamic environments A problem solver – you think about the bigger picture, connect the dots, and efficiently resolve issues An excellent communicator – you have a knack for explaining technical processes concisely (even to non-engineers), and work well with cross-functional teams What you’ll do Collaborate closely with Product Managers and Designers to define requirements and drive product development from conception to launch Lead the planning and execution of projects within your triad (Product Manager, Designer, and Engineering Lead), effectively scoping and prioritizing work Contribute across the entire software development lifecycle,  including implementation, delivery, technical project/product management, and production support, directly impacting reporting functionality and user experience in Greenhouse Recruiting Develop clean, efficient, maintainable, and scalable production code for our core services Work cross-functionally with engineering teams to deliver new features and enhancements Mentor and guide junior and mid-level engineers, fostering their growth and development Actively participate in and lead team meetings, such as stand-ups, grooming sessions, and retrospectives, to ensure effective communication and progress Conduct thorough code reviews, providing constructive feedback to peers to uphold code quality and best practices Maintain and improve code quality through comprehensive testing and debugging You should have 5+ years experience in writing production code (required) Experience leading or owning projects and driving them to completion (required) Experience with Ruby, C#, Java, or Python (Ruby preferred) Strong understanding of Javascript or Typescript fundamentals, including React Experience working in the full stack Strong understanding of architectural patterns REST/web development experience Experience partnering closely with Product and Design partners Experience with Rails, preferred Experience with analytical databases, a plus Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter.   Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time. For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company. The national pay range for this role is $143,000 - $214,000 CAD. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.  #LI-MM1 Who we are At Greenhouse, we live by our mission through using our own product to help us hire the right person for the job, every time. We are a remote-first company and have shared office spaces in New York City and Ireland, and optional co-working spaces that give us flexibility to do our best work anywhere. We take an active role in our growth through a performance review program that’s committed to providing actionable feedback, and a bonus structure that rewards great performance. We believe that bringing together a variety of perspectives makes us a stronger company – and we nurture leaders who create an inclusive culture and invest into employee resource groups that celebrate our differences and life experiences. We’re proud to have built an award-winning culture that’s been recognized as Fortune’s Best Places to Work and Inc.’s Best Workplaces multiple years in a row.  –  Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to accommodations@greenhouse.io. Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See this page on our website if you suspect a phishing scam.

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai. The Role A Data Solutions Consultant is responsible for integrating clients’ portfolio data into Addepar and consulting clients on their most complex data challenges. As a Data Solutions Consultant, you will be responsible for executing on client deliverables in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have exceptional analytical and communication skills, thrive in a fast-paced environment, and bring a solutions-oriented approach to all problems they encounter. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $90,000 - $112,000 (base salary) + bonus + equity + benefits.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. What You’ll Do Translate unique client requirements into flexible and scalable data solutions Lead data conversion projects with Addepar clients to ETL historical portfolio data from their legacy system into Addepar  Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line Identify and drive opportunities to improve our current processes and tools to better streamline, scale, and automate workflows Effectively set, lead, and communicate expectations both internally and externally Communicate with clients in a proactive, consultative, and professional manner  Collaborate with internal Services, Sales, Product, and Engineering teams Who You Are  Minimum 2+ years of experience working in technology, finance, or consulting Proficient in Python programming language  Experience with financial products and securities modeling Solution-oriented mentality and passion for problem-solving Excellent communication, organizational, and time-management skills Strong work ethic, proactive, and a high contributing teammate Highly organized, close attention to detail, and driven to make processes more efficient. Independent, adaptable, and can thrive in a fast-paced environment Our Values  Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value.  Champion Our Clients - Exceed client expectations. Our clients’ success is our success.  Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.  Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.  In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com .

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai. The Role Be at the forefront of exciting data initiatives at Addepar! Addepar is looking for talented and ambitious junior software engineers to join our team! As a member of our team, you'll have the opportunity to work on cutting-edge projects, including our Financial Data Lakehouse, AI, and Data Governance initiatives. You'll be able to apply your skills and knowledge to help create innovative solutions and contribute to the growth and development of our platform. If you're passionate about technology and finance and are looking for a challenging and rewarding role, we'd love to hear from you! Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $93,000 - $145,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. What You’ll Do Help shape the future of data management in the financial world by contributing to a state-of-the-art financial lakehouse. Create innovative solutions that address the evolving needs of the financial industry, enabling our clients to make data-driven decisions with confidence. Design, develop, and deploy cutting-edge automated workflows and tools that drive operational efficiency, minimize manual errors, and deliver exceptional client experiences. Collaborate with cross-functional teams to integrate automated solutions with existing systems and tools, ensuring data integrity, seamless workflows, and minimal disruptions. Who You Are  Hold a Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, with a strong foundation in computer systems, programming languages, and software development methodologies Proficient in Python programming, with a focus on automation, scripting, and data manipulation Strong ownership of your work and a willingness to take on new challenges Eager to learn and grow with our team, with a focus on automation, data science, and innovation Nice to have: experience with PySpark, Databricks, or other big data technologies, as well as UI frameworks such as Streamlit or Dash Our Values  Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value.  Champion Our Clients - Exceed client expectations. Our clients’ success is our success.  Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.  Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.  In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com .

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: As an Analyst or Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. Enova's Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We are language agnostic, but primarily use Python, R, SQL, SAS and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand. At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data! Requirements: 3+ years of experience in Analytics or related field Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python, R) Experience working with relational databases, such as SQL Knowledge of statistical/econometric modeling A Bachelor's degree in a quantitative field or equivalent experience Compensation: The budgeted annual salary range for this position is   $87,400 to $109,200 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . #BI-Hybrid #LI-Hybrid #BI-Hybrid #LI-Hybrd Benefits & Perks: Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.   Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here .  It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

Who is Trace3 ? Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate. Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it! Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.   Ready to discover the possibilities that live in technology?   Come Join Us! Street-Smart   -  Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems. Juice -  The “Stuff” it takes to be a Needle Mover We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like. Teamwork -  Humble, Hungry and Smart We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.   JOB SUMMARY: Trace3 is seeking a highly skilled Data/Business Intelligence Solution Architect to join our Data & Analytics Solutions practice. This senior-level, client-facing role will act as a trusted advisor and technical leader, guiding clients in the design, implementation, and optimization of modern business intelligence and observability solutions. With a deep focus on platforms such as Splunk, IT Service Intelligence (ITSI), and User Experience Monitoring (UEM), you will drive the development of scalable data architectures that support advanced analytics, service performance visibility, and operational intelligence. You will collaborate closely with clients, account teams, and delivery engineers to translate business goals into data-driven solutions that enhance IT operations, digital experience, and decision-making capabilities. This role combines pre-sales expertise with post-sales architecture guidance to ensure consistent, measurable value delivery from concept through execution.   SUMMARY OF ESSENTIAL JOB FUNCTIONS: Partner with Sales and Account Management teams to identify and pursue data-focused client opportunities. Lead client discovery sessions to understand business and operational goals and translate them into data architecture and analytics solutions. Design and architect end-to-end Business Intelligence and IT observability solutions leveraging platforms such as: Splunk (Core, Enterprise Security, and ITSI) User Experience Monitoring tools (e.g., Catchpoint, AppDynamics, Dynatrace) Cloud-native observability and monitoring platforms (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite) Support pre-sales initiatives including architectural design sessions, proof-of-concepts, RFP responses, and solution demos. Architect integrations that unify logs, metrics, and traces into centralized observability dashboards and alerting frameworks. Deliver performance analytics, business insights, and data visualizations tailored for IT and business stakeholders. Provide architectural guidance on data ingestion, normalization, correlation, and enrichment strategies. Support clients in implementing KPIs, service health scores, and predictive analytics using platforms such as Splunk ITSI. Ensure alignment between data architectures and broader digital transformation, IT operations, and cloud strategies. Serve as a technical mentor and coach for junior engineers and consultants on the Data & Analytics team.   REQUIRED SKILLS AND EXPERIENCE: Bachelor’s degree from an accredited university or equivalent experience in Computer Science, Engineering, Information Systems, or related field. 8+ years of experience in data architecture, business intelligence, or IT operations analytics, including at least 3 years in a client-facing solution architecture role. Strong expertise in Splunk architecture, including ITSI and Enterprise Security modules. Experience designing observability solutions that incorporate User Experience Monitoring, synthetic testing, and real user monitoring. Strong grasp of event correlation, anomaly detection, and machine learning applications in monitoring environments. Proven ability to translate business requirements into scalable, data-driven architectures. Familiarity with cloud-native data services (AWS, Azure, GCP) and hybrid infrastructure monitoring. Strong presentation and communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Experience working with enterprise clients and navigating complex organizational environments. Excellent time management, organization, and multitasking skills in a fast-paced consulting environment. Passion for emerging technologies and continuous improvement in data observability, automation, and business insight delivery. Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary. Estimated Pay Range $160,000 — $190,000 USD The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Stocked kitchen with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off   Our Commitment At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do. We’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture. As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law. Any demographic information provided is strictly voluntary, kept confidential in accordance with Equal Employment Opportunity (EEO) regulations, and will not be used in employment decisions, including hiring, promotions, or mentorship programs. We are committed to providing equal employment opportunities for all. If you require a reasonable accommodation to complete the application process or participate in an interview, please email  recruiting@trace3.com .   ***To all recruitment agencies:  Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.  As the Marketplace Quality lead within the Brand Data Science team, you will be responsible for improving the quality of retailers’ experiences with products and brands on Faire, particularly by reducing egregious issues, such as counterfeit products, fulfillment delays, damaged and missing items, and poor quality products. You will develop data science models to detect and act on issues. This will involve issue detection from unstructured data, human-in-the-loop targeting, causal inference, and lever optimization. You will independently drive data science vision, strategy, and execution and be the data science lead within the cross-functional Marketplace Quality pod, thinking end-to-end about the problem. Our team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there! What you’ll do Drive data science vision, strategy, and execution on Marketplace Quality, reducing the bad experiences that retailers encounter in the marketplace (e.g. counterfeits, late shipment, damaged and missing items, poor product quality) Act as a lead on the cross-functional Marketplace Quality pod, thinking end-to-end about brand and retailer experiences, ops processes, policy enforcement, etc. Use LLMs to extract structured information from reviews Use causal inference methods to estimate the long term effects of quality issues and optimize the tradeoff between reducing issues and near-term growth Optimize levers such as downranking and metrics shown to retailers to drive visibility away from low quality and toward high quality products and brands Develop human-in-the-loop machine learning systems for detecting issues and targeting actions Solve challenging problems related to a two-sided marketplace Qualifications 5+ years of industry experience using machine learning to solve real-world problems Experience with relevant business problems (e-commerce, marketplaces, or logistics) Experience with relevant technical methods (human-in-the-loop machine learning, causal inference, and/or deep learning) Strong programming skills An excitement and willingness to learn new tools and techniques The ability to contribute to team strategy and to lead model development without supervision Strong communication skills and the ability to work in a highly cross-functional team  Great to Haves: Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields Previous experience in marketplace quality in a two-sided e-commerce platform Previous experience in deep learning or language models Salary Range California: the pay range for this role is $224,000 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Effective January 2025, Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays. Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.  Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you’ll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC 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: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician IV Role: The Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, fire life safety systems, and communications infrastructure. Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Communications Infrastructure responsibilities will include IFD / MDF / MMR management, structured cabling and supporting infrastructure ownership, and customer space management. This position will also be directly responsible for the processes that maximize customer uptime in the most cost-effective way by working very closely with the Data Center Manager. Technicians must ensure that data center problems are identified and repaired quickly, contractors deliver quality services, and internal customer demands are met. A Tier IV technician develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Please note that this opening is specifically for our NY2 Swing shift which requires the ability to regularly work from 3:00pm to 11:00pm. Duties: Data center subject matter expert for electrical, mechanical, controls, and fire life safety systems. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Mentoring of junior staff. Work with the site Data Center Manager to track and complete an aggressive preventive and predicative maintenance schedule Work with and provides guidance, to the site Data Center Manager to determine maintenance requirements for mechanical and electrical systems Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT Manage systems to avoid unplanned, customer-impacting outages Manage the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency Provide applied mechanical and integrated control expertise for the entire data center Work as a primary knowledge expert in regard to fire and electrical codes. Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Assist Data Center Manager with the database management of maintenance discrepancies and work with Operations management to resolve site issues based on agreed upon priorities. Trouble Ticket Management Work Order Completion Process Infrastructure projects (Internal/Customer) 1. Cage Build-Outs 2. Overhead Installations 3. Rack and Stack Navigate and utilize a CMMS system. Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Ensures that processes are completed in a timely manner pertaining to Service Level Agreements (SLA) and data is uploaded to the OSS accordingly. Provide physical security within the CoreSite premises. Provide day-to-day exceptional customer service and support. Incident escalation and report writing Monitor the building fire alarm system. Maintain and complete regular facility and security tours documenting and responding to found issues. Adhere to and promote CoreSite's Principles of Operational Excellence, culture, and 8 Guiding Principles.

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC 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: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Apply Job Type Full-time Description Position Purpose and Objectives Support the VP, Data Analytics in driving the strategic vision and execution of data products across the Credit Union. The Data Product Owner will lead the development, enhancement, and lifecycle management of data products by aligning business needs with data capabilities, ensuring delivery of high-impact solutions that support organizational goals. Major Duties and Essential Functions Define and communicate the vision, strategy, and roadmap for data products in alignment with business objectives. Own and manage the data product roadmap, ensuring alignment with enterprise priorities and stakeholder needs. Monitor and optimize data operations, ensuring reliability, performance, and timely resolution of issues across data pipelines and platforms. Partner closely with data architects, data engineers, data scientists, and business stakeholders to ensure data products are scalable, high-quality, and aligned with business needs. Collaborate with stakeholders to gather, prioritize, and translate business requirements into actionable product features. Own the product backlog and ensure timely delivery of data product enhancements through agile methodologies. Monitor product performance and user adoption, and iterate based on feedback and evolving business needs. Develop and maintain documentation including product requirements, user stories, and release notes. Champion data governance, integrity, and compliance across all data products. Facilitate cross-functional collaboration to ensure alignment and transparency throughout the product lifecycle. Present product updates, KPIs, and strategic recommendations to leadership. Stay current with industry trends, tools, and best practices in data product management and analytics. Demonstrate advanced critical thinking, problem-solving, and decision-making skills. Communicate effectively with both technical and non-technical audiences. Perform other duties as assigned. Adhere to all organizational policies, procedures, and business ethics codes. Ability to work independently and manage multiple priorities. Positions directly supervised: None Requirements Specific knowledge, skills, and abilities required for this position: Strong understanding of data product lifecycle and agile product management. Experience managing data roadmaps and monitoring data operations. Proficiency in SQL and data visualization tools such as Power BI. Experience with backlog management tools such as ClickUp, Monday.com, and Jira. Excellent stakeholder management and communication skills. Ability to translate complex data concepts into business value. Familiarity with data governance, privacy, and compliance standards. Education: Bachelor's degree in Business Administration, Data Science, Computer Science, Information Technology, or equivalent certifications. Experience: Minimum five years of similar or related experience. Preferred: Product Management Certification (e.g., CSPO, SAFe POPM, Pragmatic Institute, or equivalent). This position is not eligible for visa sponsorship.

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance