Senior Data Migration Specialist Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Data Engineer, D&A Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. Role The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary At CVS Health, we are building a world of health around every individual by creating a more connected, convenient and compassionate health experience. The Senior Data Engineering and AI Platforms will lead teams that develop secure, resilient and reusable data capabilities supporting analytics, operational decision-making and intelligent experiences. This leader will translate business priorities into scalable engineering roadmaps, guide cloud and data architecture, and establish disciplined practices for data quality, observability, model enablement and production operations. The role partners across product, architecture, security, governance, data science and business teams to deliver trusted outcomes while prioritizing safety, quality and responsible use of AI. Job Responsibilities Engineering Strategy and Platform Delivery Set the technical direction and multi-quarter roadmap for enterprise data products, ingestion services, transformation frameworks and AI-ready data foundations. Lead the design and implementation of batch, streaming and event-driven solutions across cloud data platforms, balancing performance, reliability, maintainability and cost. <li

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Data Scientist will play a critical role in advancing CVS Health’s commercial product strategy by transforming complex healthcare data into actionable insights that drive measurable business outcomes. Supporting Aetna’s Commercial Product organization, this role will focus on developing and scaling advanced analytics solutions—including AI-powered business advisory capabilities—that uncover trends, generate insights, and enable smarter decision-making across a membership base of 15M&#43; lives. This individual will operate at the intersection of data science, product strategy, and business leadership, partnering closely with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization. The ideal candidate combines strong technical expertise with business acumen and a proven ability to translate analytics into high-impact growth opportunities and financial results. Required Qualifications 5&#43; years of experience in data science, advanced analytics, or analytics consulting (7&#43; years preferred) Proven track record of translating complex data into actionable business insights and measurable outcomes Strong proficiency in statistical modeling, machine learning, and data analysis (Python, R, SQL or equivalent) Experience workin

Job Requisition ID # 26WD101542 Position Overview Autodesk is looking for a skilled and innovative Senior Data Engineer to join our Compliance team, which builds data-driven systems to detect and address non-compliant usage of Autodesk software. This is a key strategic initiative that leverages large-scale data processing and analytics to drive business impact. In this role, you will design, build, and optimize scalable data pipelines and distributed processing systems that handle billions of records. You will focus on improving platform reliability, performance, scalability, and operational efficiency while enabling business-critical analytics. We are looking for an engineer who combines strong expertise in big data technologies with hands-on experience using AI-powered development tools to accelerate engineering workflows, improve code quality, and deliver solutions faster. The ideal candidate is technically strong, self-driven, comfortable owning complex engineering initiatives, and passionate about leveraging modern technologies and AI-assisted development practices to solve challenging data engineering problems. Our technology stack includes: Python, SQL, Apache Spark, PySpark, Spark SQL, Apache Airflow, Hive, Presto/Trino, Snowflake, AWS (S3, EMR, Glue), Git, Jenkins, Power BI, Looker, and AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or equivalent solutions. Responsibilities Leverage AI-powered development tools to accelerate coding, debugging, refactoring, test generation, documentation, and troubleshooting of complex data engineering solutions In

Become a part of our caring community The Senior Data & Reporting Professional supports the Michigan Integrated Long-Term Services and Supports (MI LTSS) program through advanced analytics, operational reporting, performance monitoring, regulatory compliance reporting, and strategic data management. You will transform complex clinical, operational, quality, and financial data into actionable insights that support program oversight, state contract compliance, quality improvement initiatives, and executive decision-making. Your work assignments involve moderately complex to complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You will work independently, exercises considerable latitude in determining objectives and approaches to assignments, and begin to influence departmental strategy. The Senior Data & Reporting Professional partners closely with LTSS Care Management, Utilization Management, Quality, Finance, Compliance, Provider Operations, and Market Leadership to monitor program performance, identify operational opportunities, and support achievement of LTSS program requirements. Develop and maintain operational, clinical, quality, compliance, and executive dashboards supporting the MI LTSS program. Integrate and validate data from multiple systems, including care management platforms, quality monitoring tools, provider networks, claims data, assessment systems, and regulatory reporting sources. Create recurring and ad hoc reports supporting operational performance, regulatory compliance, quality improvement initiatives, and strategic program planning. Monitor LTSS performance indicators including Health Risk Assessments, InterRAI assessments, Nursing Facility Level of Care Determination (NFLOCD) completion, Person-Centered Service Plans, Integrated Care Team (ICT) participation,

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we’ve invested a lot in the in-house built support tooling as we believe that it’s the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations’ quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team’s main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You’ll be part of this team working with top Data Science and Analytics Engineering professionals. What you’ll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include, but not limited to: Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments. Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges. Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what‑if modeling) to evaluate trade‑offs, optimize business decisions, and improve operational and financial outcomes across complex, multi‑constraint problem spaces. Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights. Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels. Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making. Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity. Minimum Qualifications: 2&#43; years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statisti

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. You'll work alongside talented and experienced Analytics Engineers, partnering closely with game and marketing analysts to deliver solutions that make a real difference, all using a modern, cutting-edge technical stack. To truly make an impact, you'll need to learn quickly, thrive in a fast-paced environment, and collaborate closely within the team and with the stakeholders. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets. Design, build, and maintain cross-game data marts, providing clean and transformed data ready for Analysts to use.

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your Role We are looking for a Senior Data Engineer to join the team building Tamara's next-generation data core - a multi-cloud data platform spanning Event Streaming, Data Warehousing, and Experimentation. You will be hands-on; designing and operating petabyte-scale streaming and batch systems that run across clouds. This role is ideal for engineers who love solving complex data challenges at scale, think with a platform mindset, and are excited to raise the technical bar of the team around them. Your Responsibilities Lead the design and build of platform components that run across multiple clouds — addressing portability, cross-cloud replication, HA/DR, and data residency requirements of a regulated fintech environment, and designing against single-cloud lock-in. Build and operate large-scale event streaming infrastructure on Kafka, including configuration tuning and cross-cluster replication between cloud environments. Build and maintain real-time and batch data pipelines using tools like Kafka, Spark, and Airflow. Drive the development of a scalable LakeHouse architecture using modern open table formats such as Iceberg or Delta Lake. Own reliable, cost-aware operation of multi-cloud data infrastructure — SLO-based observability, data quality, and lineage. Enable Analytics and Product teams through self-serve data products, well-modeled warehouse foundations and marts, and reusable ingestion (inbound) and consumption (outbound) patterns. Provid

About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior Data Warehouse and Integration Engineer responsible for database engineering, data warehouse architecture and support, data integration, reporting support, production troubleshooting, and technical delivery. This role requires someone who can independently own complex DB/data work from investigation and design through production completion and ongoing support. The biggest need is database/data integration ownership and production troubleshooting, followed by data warehouse architecture and reporting. The role needs someone to be comfortable with the existing on-prem/Microsoft environment while also helping us move toward more modern Azure-based solutions. What you’ll do: Design, develop, maintain, and troubleshoot SQL Server databases, stored procedures, views, jobs, and related database objects. Design and support enterprise data warehouse architecture, data models, schemas, and data flows. Evaluate and improve data warehouse structure, scalability, performance, and maintainability

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Data Science And Engineering The Data Science & Engineering organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. In Data Science & Engineering, you will build the macroeconomic models, simulation frameworks, and policy mechanics that scale Roblox’s virtual economy. By analyzing Robux currency dynamics, global pricing strategies, and developer exchange policies, your work will directly inform strategic decision-making, financial policy, and executive roadmaps on our road to connecting one billion users. You will: Develop, build, and refine macroeconomic models to forecast and monitor Robux money supply, velocity, inflati

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team. The Product Data Engineering Team at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale. You Will Lead the creation and optimization of data models

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData’s Corporate team collaborates directly

Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer. Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity What’s In It For U Work Where You Thrive: Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative Generous Time Off : Our leadership believes in taking the time you need when you need it. Day One Health Benefits + Employer-Matched Retirement Savings : You might think these are table stakes, but we know these matter to you. More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent. Award-Winning Onboarding Program : We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year. Real Career Growth