Senior ETL / Python Developer - Remote
Dice is the leading career destination for tech experts at every stage of their careers. Our client, DATAMAXIS, Inc, is seeking the following. Apply via Dice today! 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