Development Engineer

Role overview Build and operate data pipelines that support analytics, reporting, and operational decisions for a large healthcare program. The work centers on ingesting, transforming, and curating complex datasets in cloud lakehouse environments, with a focus on reliability, governance, and performance.

Responsibilities - Design, develop, and maintain ETL/ELT pipelines for analytics and reporting use cases. - Build data processing workflows with Python, SQL, and PySpark in Databricks and Delta Lake. - Develop reusable components for ingestion, data quality checks, and exception handling. - Improve pipeline performance, scalability, reliability, and cost efficiency across AWS and Databricks environments. - Collaborate with architecture, QA, testing, business analysis, and DevOps teams on transformation rules, integration standards, and CI/CD workflows. - Support schema design, data modeling, version control, metadata, lineage, and compliance documentation; investigate and resolve data issues across environments.

Requirements - Practical experience building and maintaining ETL/ELT pipelines for analytical data. - Proficiency with Python, SQL, and PySpark, and experience using Databricks and Delta Lake. - Ability to design scalable lakehouse solutions for complex datasets. - Familiarity with data modeling, schema design, data quality, and exception handling. - Experience collaborating across technical and business teams and integrating data pipelines into CI/CD processes. - Ability to troubleshoot data problems in staging, integration, and production environments.

Benefits and work setup - Medical, dental, and vision coverage, telehealth, and an employee assistance program. - Paid time off starting at 3.5 weeks annually, increasing with tenure, plus 11 paid holidays. - 401(k) plan with up to 4% employer match after six months, and company-paid life and disability coverage. - After six months, eligible employees may receive up to $1,500 annually for professional development and up to $1,500 for tuition reimbursement, subject to approval.