Senior Data Engineer (ETL ​/ Python Developer

Enterprise Data Warehouse (EDW) & Analytics Program

Remote

Periodic travel as required based on project or customer needs

EDW Delivery Lead / Data Engineering Manager

We are seeking a hands-on Senior Data Engineer (ETL / Python Developer
) to support a large-scale Enterprise Data Warehouse (EDW) and Analytics Progra
m. This role is responsible for designing, developing, and maintaining scalable data ingestion and transformation pipelines that support healthcare analytics, regulatory reporting, and enterprise decision support

.The ideal candidate will bring strong expertise in ETL develop men
t,
Python engineerin
g,
Teradat
a, and modern cloud-based data platforms. This position requires close collaboration with architects, analysts, QA teams, project managers, subject matter experts, developers, and business intelligence teams to deliver high-quality, reliable data solutions in a regulated and audit-sensitive environment

• gDesign, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF
  , Informatica Power Cente
  r, and Python-based framework
  s
• .Build and optimize scalable data processing solutions using Pytho
  n,
  Apache Spar
  k, and Databrick
  s
• .Develop and optimize SQL queries, stored procedures, and database objects across platforms such as Snowflak
  e,
  Oracl
  e, and SQL Serve
  r
• .Apply data engineering best practices to ensure performance, scalability, reliability, reusability, and security

• ySupport healthcare analytics and regulatory reporting initiatives
• .Develop robust data validation, reconciliation, and audit-ready data pipelines
• .Partner with analysts, QA teams, and reporting stakeholders to ensure data quality, accuracy, and timeliness
• .Implement controls and monitoring processes to maintain trusted and compliant data assets

• nParticipate in cloud migration and modernization initiatives leveraging Azure-based data architecture
  s
• .Support production operations, incident management, troubleshooting, and root cause analysis
• .Contribute to code reviews, source control management, and CI/CD processes using Azure Dev Op
  s and Git Hu
  b
• .Collaborate across cross-functional teams to deliver scalable and maintainable data solutions

• ns5+ years of experience in data engineeri
  ng with a focus on enterprise data warehousin
• g.5+ years of hands-on ETL development experience using Informatica Power Cent
  er, Terada
  ta, Azure Data Facto
  ry, or similar technologie
• s.5+ years of experience developing solutions in Pyth
  on for data engineering and automatio
• n.5+ years of experience working with Terada
  ta, including Teradata loading and utility tool
• s.3+ years of experience with Spark-based processing framewor
  ks such as Databric
  k
• s.Strong SQL expertise and experience working with relational databases, including Snowfla
  ke, Orac
  le, and SQL Serv
  e
• r.3+ years of experience with Snowfla
  ke, including SnowS
  QL and Snowpark (Pytho
  n
• ).
  
  Experience with source control and Dev Ops practices using Azure DevO
  ps, GitH
  ub, and CI/CD pipeline
• s.Strong analytical, problem-solving, and troubleshooting skill
• s.Ability to work effectively in a fast-paced, collaborative environmen
• t.Willingness to travel periodically as require

• ons Bachelor's degree or higher in Computer Scie
  nce, Engineer
  ing, Analyt
  ics, or a related fie
• ld.
  
  Azure certifications related to Data Engineer
  ing or Analyt
  i
• cs.
  
  Experience supporti
  ng Enterprise Data Warehouse (EDW) environmen
• ts.
  
  Healthcare, payer, public sector, or regulated-industry analytics experien
• ce.
  
  Data modeling experience in enterprise data warehouse environmen
• ts.
  
  Automation and orchestration scripting usi
  ng Power Sh
  ell or Ba
• sh.
  
  Experience designing, integrating, or consumi
  ng REST APIs within data platfor
• ms.
  
  Familiarity with data quality frameworks, reconciliation processes, and audit support require men

• delWork Arrangeme
  nt:
  Remote (U.S.
  
  -bas
• ed)
  Trav
  el:
  Periodic travel may be required based on project or customer nee