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

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