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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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