Hiring: Data Engineering Tech Lead Company: Expion Health Location: United States Job Posted Time: 2026-09-17 04:22:46 Employment Type: Contract / Remote Target Skills & Keywords : AWS, Airflow, CI/CD, CPT, ELT, ETL, Encryption, HIPAA, IAM, ICD-10, Infrastructure as Code, Kinesis, Lambda, Python, RBAC, RDS, REST, Revenue Cycle Management, S3, SOC 2, SQL, Snowflake, Spark, Step Functions, dbt About the job Required Skills: •If you have built healthcare data platforms at scale, know Snowflake and AWS deeply, and want to shape a platform that is central to how the business makes money, this role was built for you. •Design and evolve the data platform on Snowflake and AWS, including ingestion, storage, orchestrated transformation, and the serving layer feeding ExpionIQ analytics, client reporting, and ML/AI models. •Own Snowflake architecture end to end: database and schema design, Snowpipe ingestion, in-warehouse transformation with Snowpark and dbt, RBAC and PHI-safe access patterns, and warehouse sizing and credit consumption against a budget. •Make and document the build-vs-buy and pattern decisions across batch versus streaming, ELT in Snowflake versus external Spark, modeling, and CDC, and drive them to consensus with architecture and security. •Modernize legacy claim-processing data flows onto repeatable, testable pipelines without disrupting production repricing volume. •Ingest and normalize high-volume healthcare data, including X12 EDI (837 claims, 835 remittance, 834 eligibility), provider and facility rosters, CMS and state fee schedules, contract and network terms, NDC and drug pricing files, and rebate and invoice data. •Build dimensional and semantic models that let analysts answer how much was saved, on which claims, versus what benchmark, without reverse-engineering SQL. •Support AI and automation workflows such as document understanding, claim reconciliation, and anomaly detection with clean, well-labeled, reproducible training and inference data. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!