Development Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the modernization initiative of the Centers for Medicare & Medicaid Services (CMS).

• Create, develop, and sustain efficient ETL/ELT pipelines for analytics and reporting purposes.

• Construct effective data processing workflows utilizing Python, SQL, and PySpark within Databricks and Delta Lake settings.

• Establish scalable data lakehouse architectures for intricate healthcare datasets and enterprise-level analytics.

• Work in conjunction with Data Architects, Automation Test Engineers, QA Analysts, and Business Analysts to outline data transformation logic and data integration standards.

• Develop reusable code and frameworks for data ingestion, data quality validation, and exception management.

• Enhance data processing tasks for optimal performance, reliability, scalability, and cost-effectiveness in AWS and Databricks.

• Engage in schema design, data modeling, and version-controlled data pipeline development.

• Support data governance, metadata management, and documentation of data lineage for audit, compliance, and FISMA reporting.

• Collaborate with DevOps teams to incorporate data pipelines into CI/CD workflows using GitHub, Databricks Repos, and associated tools.

• Conduct root cause analysis and troubleshoot data issues across staging, integration, and production environments.

⛳️ Requirements

• An experienced Development Engineer.

• Proven experience in developing data ingestion, transformation, and processing pipelines within AWS and Databricks-based environments.

• Familiarity with Delta Lake lakehouse architectures.

• Strong proficiency in Python, SQL, and PySpark.

• Understanding of scalable data lakehouse architectures.

• Experience in schema design and data modeling.

• Background in version-controlled data pipeline development.

• Knowledge of data governance, metadata management, and documentation of data lineage.

• Experience in integrating data pipelines into CI/CD workflows using GitHub, Databricks Repos, and related technologies.

• Proficient in performing root cause analysis and addressing data issues across staging, integration, and production environments.

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance, along with telehealth services and a confidential Employee Assistance Program.

• Paid time off beginning at 3.5 weeks per year, increasing with tenure, plus 11 paid holidays.

• 401(k) retirement plan with employer matching up to 4% of eligible compensation after six months of employment.

• Company-sponsored basic life, accidental death and dismemberment, and short- and long-term disability insurance.

• Opportunities for professional development and tuition reimbursement programs, each providing up to $1,500 annually for eligible employees after six months of service, subject to approval.