Senior ETL / Python Developer - Remote

Primary Responsibilities

• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks
• Build and optimize scalable data processing solutions using Python, Spark, and Databricks
• Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
• Develop robust data validation, reconciliation, and audit-traceable data pipelines
• Write and optimize SQL and stored procedures across relational platforms such asSnowflake, Oracle, and SQL Server
• Participate in cloud migration and modernization initiatives within Azure-based architectures
• Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
• Follow data engineering best practices for performance, reliability, reusability, and security
• Support production operations, incident resolution, and root-cause analysis
• Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Required Qualifications

• 5+ years of data engineering experience with a focus on enterprise data warehousing
• 5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
• 5+ years of Python development for data engineering and automation
• 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
• Strong SQL expertise and experience with relational databases (such as Teradata,Snowflake, Oracle, SQL Server)
• Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
• Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field
• Strong analytical, problem-solving, and troubleshooting skills

Preferred Qualification

• Experience supporting State Medicaid EDW or MMIS analytics environments
• Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)
• Data modeling experience in enterprise data warehouse environments
• Scripting experience (PowerShell, Bash) for automation and orchestration
• Experience designing or consuming APIs (REST) within data platforms
• Familiarity with data quality frameworks, reconciliation, and audit support
• Azure certifications related to data engineering or analytics