Senior Data Engineer (ETL / Python) (Remote) (W2 Only)

Senior Data Engineer (ETL / Python Developer) (Remote) (W2 Only) Primary Responsibiliti esPipeline Development & Engineer inDesign, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based framewor ksBuild and optimize scalable data processing solutions using Python, Spark, and Databric ksWrite and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Serv erFollow data engineering best practices for performance, reliability, reusability, and securi tyAnalytics, Reporting & Data Qual itSupport Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Car e) Develop robust data validation, reconciliation, and audit-traceable data pipelin esCollaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeline ssModernization, Operations & Collaborati onParticipate in cloud migration and modernization initiatives within Azure-based architectur esSupport production operations, incident resolution, and root cause analys isParticipate in code reviews, source control, and CI/CD processes using Azure DevOps and GitH ub. Required Qualificati on 5+ years of data engineering experience with a focus on enterprise data warehousi ng 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar too ls 5+ years of Python development for data engineering and automati on 5+ years of Teradata experience, including Teradata loader utiliti es 3+ years of experience with Spark-based processing frameworks (Databricks or equivalen t) Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Serve r)3+ years of experience with Snowflake using SnowSQL and Snowpark (Pytho n) Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/C D) Proven solid analytical, problem-solving, and troubleshooting skil lsPeriodic travel may be required based on project or customer nee dsPreferred Qualificati onBachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related fie ldAzure certifications related to data engineering or analyti csExperience supporting State Medicaid EDW or MMIS analytics environmen tsHealthcare or public sector analytics experience (Medicaid / Medicare preferre d) Data modeling experience in enterprise data warehouse environmen tsScripting experience (PowerShell, Bash) for automation and orchestrati onExperience designing or consuming APIs (REST) within data platfor msFamiliarity with data quality frameworks, reconciliation, and audit suppo r t.