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DATAMAXIS, Inc logo
DATAMAXIS, Inc

Datamaxis is a WMBE corporation and committed to provide IT services to commercial and government organizations.

Senior ETL, Python Developer

Backend EngineerSoftware EngineerContractRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Illinois

Posted

62 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAzureCloudETLInformaticaOraclePythonSparkSQL

Job Description

Senior ETL, Python Developer

DATAMAXIS, Inc

• 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

Job 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)

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