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 data engineering and influence strategic technology direction.
• Video cameras must be used during all interviews, as well as during the initial week of orientation

  The deadline to submit applications for this posting is November 1, 2025.

The pay range for this position is $113,700.00 - $162,400.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.

We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our and visit our for all available job role openings.

Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.