Principal Data Engineer

Gainwell Technologies LLC-posted 3 months ago
$113,700 - $162,400/Yr
Full-time • Principal
OH
5,001-10,000 employees
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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.

  • Design, build, and optimize robust, scalable, and high-performance data pipelines and workflows for structured, semi-structured, and unstructured healthcare datasets.
  • Architect and implement modern data platforms in AWS, Azure, or GCP using services such as Databricks, Snowflake, Redshift, BigQuery, or Synapse.
  • Develop and manage ETL/ELT workflows using tools like Apache Spark, Airflow, dbt, Informatica, or Talend.
  • Integrate data from diverse sources (EHRs, claims, IoT, APIs, flat files, databases) into unified data platforms, ensuring high reliability and low latency.
  • Ensure adherence to HIPAA, CMS, and other regulatory standards, with strong focus on data quality, lineage, cataloging, metadata management, and governance frameworks.
  • Continuously tune data pipelines and queries for scale, speed, and cost efficiency, leveraging distributed systems and modern storage formats (Parquet, ORC, Delta).
  • Implement DataOps best practices for CI/CD, observability, version control, and automated testing of data pipelines.
  • 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.
  • Skilled in SQL, NoSQL, graph databases, and data lakes/lakehouses, including optimization and partitioning strategies.
  • Implement robust data encryption, access control, and guardrails for secure and compliant data handling.
  • Lead cross-functional data engineering initiatives, mentor team members, and collaborate with technology and business leaders to deliver strategic data solutions.
  • 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).
  • Generous, flexible vacation policy
  • 401(k) employer match
  • Comprehensive health benefits
  • Educational assistance
  • Leadership and technical development academies
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