Senior Data Engineer (ETL / Python Developer) (Remote)

Senior Data Engineer (ETL / Python Developer) (Remote) (W2 Only) Primary Responsibilities Pipeline Development & Engineerin • 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 • Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server • Follow data engineering best practices for performance, reliability, reusability, and security Analytics, Reporting & Data Qualit • 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 • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness Modernization, Operations & Collaboration • Participate in cloud migration and modernization initiatives within Azure-based architectures • 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 Qualification • 5+ years of data engineering experience with a focus on enterprise data warehousing • 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools • 5+ years of Python development for data engineering and automation • 5+ years of Teradata experience, including Teradata loader utilities • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent) • Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server) • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python) • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD) • Proven solid analytical, problem-solving, and troubleshooting skills • Periodic travel may be required based on project or customer needs Preferred Qualification • Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field • Azure certifications related to data engineering or analytics • 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 .