Senior ETL / Python Developer - Remote

Senior ETL / Python Developer - Remote

Posted 5 days ago by DATAMAXIS, Inc

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Negotiable
Undetermined
Remote
Remote or Illinois
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Apache Spark Application Programming Interface (API) Automation Azure Databricks Azure Data Factory Azure DevOps Bank Reconciliations Bash (Scripting Language) Cloud Computing Cloud Migration Cloud Technology Computer Science Continuous Integration and Continuous Delivery Databricks Data Engineering Data Processing Data Quality Data Validation Data Warehousing DevOps External Auditing Extract Transform Load (ETL) File Servers Github Informatica Informatica Powercenter Microsoft Azure Microsoft SQL Servers Python (Programming Language) Reconciliation Relational Databases Snowflake (Data Warehouse) Software Development SQL (Programming Language) Verification And Validation

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
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