Senior Data Engineer
About this role
- Vi is an enterprise AI platform for health enterprises - healthcare, biopharma, and wellness. We deploy agentic AI and predictive models into production environments where the output drives next best actions for patients, care teams, and operations to deliver ROI and improve health outcomes.
- We are looking for a Senior Data Engineer to build and scale the data foundation behind Vi's platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
- This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every Vi product.
Responsibilities
- Build and own scalable data pipelines: Design, implement, and operate robust pipelines for high-volume structured and unstructured data.
- Develop reusable data models: Create normalized, well-documented data layers, shared dimensions, and production-ready datasets for analytics, AI, and predictive modeling use cases.
- Ensure data quality and reliability: Implement automated validation, anomaly and drift detection, lineage, monitoring, alerting, and recovery processes.
- Own production performance: Improve scalability, cost efficiency, security, observability, and operational resilience across the data platform.
- Solve complex problems hands-on: Investigate difficult data inconsistencies, pipeline failures, performance bottlenecks, and architectural challenges directly.
- Partner cross-functionally: Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.
Requirements
- 5+ years of professional experience in data engineering, including ownership of production data systems.
- Strong Python and SQL skills, with experience writing maintainable, tested production code.
- Deep experience designing and operating ETL/ELT pipelines, data models, and distributed data-processing systems.
- Production experience with Apache Spark or a comparable large-scale processing framework.
- Strong AWS experience, ideally including S3, Glue, EMR, Athena, and related compute and orchestration services.
- Experience with modern data lakehouse or warehouse architectures; experience with Apache Iceberg is a strong advantage.
- Experience with workflow orchestration, CI/CD, Docker, Git, and infrastructure as code such as AWS CDK and CloudFormation.
- Strong understanding of data quality, schema evolution, lineage, observability, privacy, security, and access controls.
- High comfort operating in a fast-moving environment with incomplete requirements, high ownership, and a strong sense of urgency.
Advantages
nullWhy choose Vi?
nullWhy choose Muuv?
nullCompany at a glance
Muuv Labs merged with Vi Labs and is now a Vi Company. It helps health and wellness brands develop the next generation of products faster and more affordably than ever before. As an innovation lab, it leverages user research and deep data analysis to predict and build future innovations in health and wellness, guided by a world-class mix of behavioral psychologists, kinesiologists, content creators and technologists who understand human behavior and help design, develop, and market customer-centric products. It operates as a consortium of strategic partners providing postdoctoral-level research, media integration, manufacturing, marketing, distribution, and revenue generation from audiences, supported by a modular and reusable IP portfolio and investors who can fund innovation. It collaborates with clients such as 24 Hour Fitness, Stamina Products/Walmart Athletic Works, Anytime Fitness, Self Esteem Brands, The Bar Method, and Stronger U Nutrition.
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