ETL Developer, Python

📋 Description

• You will design and oversee the data infrastructure that drives enterprise analytics and federal reporting for some of the most vital public health initiatives in the nation.

• Create, develop, and sustain enterprise ETL pipelines utilizing Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks.

• Construct and enhance scalable data processing solutions using Python, Spark, and Databricks.

• Assist with Medicaid analytics and federal reporting projects including T-MSIS, PERM, MARS, and Quality of Care programs.

• Establish reliable data validation, reconciliation, and audit-traceable pipelines that withstand regulatory scrutiny.

• Compose and refine SQL and stored procedures across relational databases such as Snowflake, Oracle, and SQL Server.

• Engage in cloud migration and modernization efforts within Azure-based architectures, integrating legacy and contemporary platforms.

• Work closely with analysts, QA engineers, and BI reporting teams to ensure data accuracy, timeliness, and trustworthiness at every phase.

• Take part in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub.

⛳️ Requirements

• A minimum of 5 years of data engineering experience concentrating on enterprise data warehousing.

• At least 5 years of practical ETL development experience using Informatica PowerCenter, Azure Data Factory, or similar tools.

• Over 5 years of Python development experience for data engineering and automation purposes.

• A minimum of 3 years of experience with Spark-based processing frameworks (Databricks or equivalent).

• Strong SQL proficiency and practical experience with relational databases including Snowflake, Oracle, or SQL Server.

• Familiarity with source control and DevOps methodologies (Azure DevOps, GitHub, CI/CD pipelines).

• A Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related discipline.

🏝️ Benefits

• The work you do has significance beyond the data warehouse.

• The pipelines you create support Medicaid programs and federal reporting that impact millions of individuals.

• You will be part of a team that cares.

• The culture here is welcoming, collaborative, and grounded — team members ask insightful questions, share their knowledge, and uphold high standards.

• Your contributions are visible, and your opinions are valued.

• Collaborate intimately with analysts, QA engineers, and BI reporting teams to ensure data is precise, timely, and reliable at every stage.

• Adhere to data engineering best practices for performance, reliability, reusability, and security — not just functionality.

• Support production operations, incident resolution, and root-cause analysis when challenges arise.