Data Engineer

We’re looking for a Data Engineer to support a high-impact data migration initiative within commercial lending, underwriting, and regulatory reporting. This role blends hands-on data engineering with business analysis, helping modernize legacy data environments while ensuring data integrity, scalability, and compliance. What You’ll Do • Analyze legacy SQL, DataStage, and SAS code to extract business logic and identify critical data elements • Document and maintain detailed inventories of current data usage across operational and reporting systems • Design, build, test, and maintain scalable data pipelines and data management solutions to support migration efforts • Partner with business and technical stakeholders to assess downstream impacts, regulatory considerations, and optimization opportunities What You Bring • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) • 5+ years of experience analyzing legacy codebases (SQL, DataStage, SAS) and documenting business logic • 5+ years working with relational and non-relational databases (SQL, Snowflake, DB2, MongoDB) • 3+ years of backend development experience (Python, Java, J2EE, or similar) • 3–5 years of experience building and maintaining data pipelines (DataStage, dbt, or similar ETL tools) • Proven background in business analysis and stakeholder engagement Nice to Have • Experience with cloud platforms (AWS, Azure, or GCP) • Experience in financial services or banking environments Why Join • Work onsite on a mission-critical data migration within commercial lending and risk reporting • High-visibility role with direct impact on data quality, regulatory compliance, and enterprise modernization • Opportunity to bridge deep technical engineering with meaningful business analysis and stakeholder collaboration • Fast-paced, autonomous environment for solving complex data challenges