Senior Data Engineer

We’re looking for a Data Engineer III to play a key role in a large-scale data migration initiative within Client's commercial lending, underwriting, and reporting areas. This is a hands‑on engineering role that blends technical depth with business analysis
, focused on transforming legacy data systems into modern, scalable pipelines.

• Analyze legacy SQL, Data Stage, and SAS code to extract business logic and identify key data dependencies.
• Document current data usage and evaluate the downstream impact of migrations.
• Design, build, and maintain data pipelines and management systems to support modernization goals.
• Collaborate with business and technology teams to translate requirements into technical solutions.
• Improve data quality, reliability, and performance across multiple environments.
• Develop backend solutions using Python, Java, or J2EE
  , and integrate with tools like Data Stage and dbt
  .

• 5+ years of experience with relational and non-relational databases (
  SQL, Snowflake, DB2, MongoDB
  ).
• Strong background in legacy system analysis (SQL, Data Stage, SAS).
• Experience with Python or Java for backend development.
• Proven ability to build and maintain ETL pipelines and automate data processes.
• Exposure to AWS, Azure, or GCP
  .
• Excellent communication and stakeholder engagement skills.
• Financial domain experience—especially commercial lending or regulatory reporting
  —is a big plus.
• Familiarity with Agile methodologies preferred.

Mid‑Senior level

Contract

Information Technology

IT Services and IT Consulting