DATAMAXIS, Inc

Senior ETL, Python Developer

DATAMAXIS, Inc

contract

Posted on:

Location Type: Remote

Location: Illinois • United States

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Job Level

Senior

Tech Stack

AzureCloudETLInformaticaOraclePythonSparkSQL

About the role

  • 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

Requirements

  • 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
  • Experience supporting State Medicaid EDW or MMIS analytics environments (preferred)
  • Healthcare or public-sector analytics experience (Medicaid / Medicare preferred) (preferred)
  • Data modeling experience in enterprise data warehouse environments (preferred)
  • Scripting experience (PowerShell, Bash) for automation and orchestration (preferred)
  • Experience designing or consuming APIs (REST) within data platforms (preferred)
  • Familiarity with data quality frameworks, reconciliation, and audit support (preferred)
  • Azure certifications related to data engineering or analytics (preferred)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETL developmentPythonSQLSparkData validationData reconciliationData pipelinesData modelingScriptingAPI design
Soft Skills
analytical skillsproblem-solvingtroubleshootingcollaborationcommunication
Certifications
Azure certifications