Job Description

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

• on5+ years of data engineering experience with a focus on enterprise data warehousi
• ng5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar too
• ls5+ years of Python development for data engineering and automati
• on5+ years of Teradata experience, including Teradata loader utiliti
• es3+ 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

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