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

Job Tags

Permanent employment, Remote work

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