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 Power Center, 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 Dev Ops and Git Hub. Required Qualification 5+ years of data engineering experience with a focus on enterprise data warehousing 5+ years of hands-on ETL development using Informatica Power Center, 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 Dev Ops practices (Azure Dev Ops, Git Hub, 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 (Power Shell, Bash) for automation and orchestration Experience designing or consuming APIs (REST) within data platforms Familiarity with data quality frameworks, reconciliation, and audit support.
