Principal Data Engineer

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

 

Summary

Gainwell Technologies is seeking a highly experienced Principal Data Engineer to lead the design, development, and optimization of large-scale data solutions across our healthcare technology platforms. This role focuses on architecting modern data pipelines, building scalable data platforms, and enabling advanced analytics and AI/ML capabilities while ensuring data integrity, security, and compliance with healthcare industry regulations.

 

Your role in our mission

• Data Architecture & Pipeline Development – Design, build, and optimize robust, scalable, and high-performance data pipelines and workflows for structured, semi-structured, and unstructured healthcare datasets.
• Cloud Data Engineering – Architect and implement modern data platforms in AWS, Azure, or GCP using services such as Databricks, Snowflake, Redshift, BigQuery, or Synapse.
• ETL/ELT Processes – Develop and manage ETL/ELT workflows using tools like Apache Spark, Airflow, dbt, Informatica, or Talend.
• Data Integration & APIs – Integrate data from diverse sources (EHRs, claims, IoT, APIs, flat files, databases) into unified data platforms, ensuring high reliability and low latency.
• Data Governance & Compliance – Ensure adherence to HIPAA, CMS, and other regulatory standards, with strong focus on data quality, lineage, cataloging, metadata management, and governance frameworks.
• Performance Optimization – Continuously tune data pipelines and queries for scale, speed, and cost efficiency, leveraging distributed systems and modern storage formats (Parquet, ORC, Delta).
• DataOps & Automation – Implement DataOps best practices for CI/CD, observability, version control, and automated testing of data pipelines.
• Collaboration with AI/ML Teams – Partner with data scientists and AI engineers to provision curated, high-quality datasets, feature stores, and real-time data pipelines for advanced analytics and AI/ML workloads.
• Database & Storage Expertise – Skilled in SQL, NoSQL, graph databases, and data lakes/lakehouses, including optimization and partitioning strategies.
• Security & Privacy – Implement robust data encryption, access control, and guardrails for secure and compliant data handling.
• Leadership & Mentorship – Lead cross-functional data engineering initiatives, mentor team members, and collaborate with technology and business leaders to deliver strategic data solutions.

 

What We’re Looking For

• 15+ years of experience in data engineering and data platform development, preferably in healthcare or regulated industries.
• Proven expertise with big data technologies (Apache Spark, Hadoop, Kafka, Flink) and modern data stacks.
• Strong skills in SQL, Python, and/or Scala for data engineering and pipeline development.
• Hands-on experience with cloud-native data platforms (AWS Redshift/Glue, Azure Synapse/Data Factory, GCP BigQuery/Dataflow, or Snowflake).
• Deep understanding of data modeling (relational, dimensional, NoSQL) and modern storage architectures (data lakes, warehouses, lakehouses).
• Strong grasp of data security, compliance frameworks, and healthcare data standards (HL7, FHIR, HIPAA).

 

What You Should Expect in This Role

• Fully Remote Opportunity – Work from anywhere in the India.
• Minimal Travel Required – Occasional travel opportunities (0–10%).
• Impactful Mission – Opportunity to build cutting-edge data platforms that power AI-driven healthcare solutions.
• Leadership Role – Drive innovation in da