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

Primary Responsibilities: Pipeline 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 security Analytics, 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 timeliness Modernization, 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 GitHub. 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 needs Preferred 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 support.