Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence.
5 years work applicable experience
Ability to collaborate closely with product, data analytics teams, and Epic analysts
Strong problem-solving and troubleshooting skills in complex, mission-critical healthcare environments
Experience designing real-time streaming pipelines and batch workflows
Strong hands-on experience parsing, transforming, and mapping HL7 v2/v3
Proficiency in building scalable data pipelines on Big Data Platforms and ETL/ELT workflows
Strong Python programming experience for data ingestion, transformation, and automation workflows
3+ years in senior or lead roles.
Expert-level skills in writing and optimizing complex queries (preferably across multiple databases - e.g., SQL Server, Snowflake, Postgres)
Advanced experience building distributed data pipelines, ETL/ELT workflows, and real-time/streaming jobs (Spark SQL, PySpark, Spark Structured Streaming)
Strong understanding of data modeling, data quality, and governance in regulated environments (HIPAA, HITRUST)
Prior experience in healthcare IT, EMR/EHR systems (Epic preferred), and HL7/FHIR standards
Experience developing data integration services or custom connectors using Java/Kotlin, particularly for EMR/clinical system
Familiarity with Epic Interconnect APIs, Bridges, or other healthcare interoperability frameworks
Experience with Azure (preferred), AWS, or GCP for data engineering workloads
Experience working on Databricks platform
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility