Data Engineering Manager

This is a fully remote position, open to applicants in Pennsylvania, +1 more location.

📋 Description

• Lead and grow a high-performing data engineering team through hands-on technical guidance, mentorship, and the implementation of best practices.

• Design, build, and enhance a centralized, cloud-native data platform that supports a variety of healthcare datasets, including medical and Rx claims, EHR, CCLF, and BCDA data sources.

• Create, implement, and manage scalable data pipelines for ingestion, transformation, and normalization to support analytics, machine learning, and GenAI applications.

• Establish batch processing, streaming services, and FHIR-based APIs for data ingestion into the data lake.

• Enhance data platforms and pipelines for optimal performance, reliability, scalability, and cost-effectiveness.

• Direct data governance standards, access controls, and encryption measures to ensure compliance with HIPAA and SOC 2 certification requirements.

• Develop and sustain documentation that details data platform architecture, ETL/ELT processes, data lineage, and metadata.

• Collaborate with data science, QA, software engineering, product, and business stakeholders to provide reliable, timely, high-quality data assets.

• Work alongside DevOps for automated, scalable deployment utilizing CI/CD and infrastructure-as-code methodologies.

• Keep abreast of developments in data engineering, healthcare data management, and advanced analytics to enhance the platform and team.

• Report directly to the CTO.

⛳️ Requirements

• Over 8 years of experience in data engineering, with a proven track record in coaching and developing technical talent, and leading the design, delivery, and operation of cloud-based data platforms in production settings.

• Deep expertise in Python, SQL, and contemporary ETL/ELT frameworks for constructing reliable, production-level data workflows.

• Practical experience with Databricks, Snowflake, and AWS services (such as S3, Glue, Lambda, EMR), in addition to modern data platform technologies and transformation tools like dbt or SQLMesh.

• Strong capability to design scalable, modular codebases that encourage maintainability, reusability, testing, and collaboration across teams.

• Experience in implementing and utilizing data lineage to understand dependencies, evaluate upstream and downstream impacts, and support governance and change management.

• Solid grasp of data governance, data quality, and data security principles, including their application within regulated environments.

• Proficient in data modeling, database design, and data warehousing concepts for both analytical and operational applications.

• Ability to effectively collaborate with DevOps to define and align on deployment standards, environment management, and operational best practices for data platforms and pipelines.

• Familiarity with healthcare data interoperability standards and APIs.

🏝️ Benefits

• Health, dental, vision, and voluntary benefits.

• Competitive salary, incentive compensation, and equity shares.

• 401(k) retirement savings plan.

• Flexible PTO and 10 paid holidays.

• Flexible working hours.

• Paid leave programs.

• Marketplace offering discounted retail and entertainment options.