Senior Data Engineer (Remote)

Responsibilities

• Serve as a senior technical advisor and subject matter expert to business customers, architects, and internal teams, solving the most complex data challenges related to healthcare analytics.
• Lead the design and architecture of end-to-end data solutions, translating business requirements into scalable, reusable, and well-documented technical designs.
• Define, drive, and govern data architecture standards, design patterns, and engineering best practices across the data engineering organization.
• Engineer and oversee the preparation of internal and customer-facing datasets, ensuring strict adherence to defined technical specifications, internal data standards, and external Statements of Work (SOWs).
• Architect, develop, and optimize robust, scalable data pipelines to acquire, transform, and provision data for analytics and data science initiatives.
• Design and build performant, scalable data models and warehouse structures within cloud data warehouses (e.g., Google BigQuery, Snowflake) and guide their long-term evolution.
• Partner with SD3 Data Scientists to productionize, operationalize, and manage the handoff of machine learning model inferences into our persistent data stores.
• Establish and champion modern DevSecOps standards, including CI/CD, automated testing, and version control using GitHub, across the team.
• Ensure all data solutions comply with data governance, security policies, and healthcare regulations (e.g., HIPAA), and help define and improve those policies.
• Provide technical leadership and mentorship to junior and mid-level engineers, including leading design reviews and code reviews.
• Lead organizational improvements in processes and technology by evaluating, recommending, and adopting new tools and best practices in data engineering.
• Define and lead unit, integration, and performance testing strategies to ensure the quality, reliability, and scalability of data pipelines.

Required Work Experience

Preferred Work Experience

Knowledge

Skills

• Data solution design and architecture
• Coding
• Data Warehousing
• Database schema optimization
• Database Systems
• Technical leadership and mentoring
• Critical thinking skills
• Business communication
• ETL