Company
FinTech
DataEngineerIII
Neural analysis suggests this role is
optimal for experienced candidates.
“Data Engineer III. Skills: Data Engineering, Data Migration, Legacy Systems Analysis. Analyze legacy systems. Identify key data elements”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
5+ years experience analyzing legacy code, 5+ years experience with databases, 3+ years experience developing backend solutions, 3-5 years experience building ETL/data pipelines, 5+ years experience in business analysis, 2+ years experience with cloud platforms, Bachelor’s degree in Computer Science, Bachelor’s degree in Information Systems, Bachelor’s degree in related field, Equivalent experience
Nice to Have
Financial services experience, Banking experience, Commercial lending experience, Underwriting experience, Regulatory reporting experience, Agile experience
What You'll Do.
Analyze legacy systems
Identify key data elements
Document current data usage
Assess downstream impacts
Design data management systems
Build data management systems
Test data management systems
Maintain data management systems
Translate requirements
Integrate data technologies
Develop data pipelines
Optimize data pipelines
Build software components
Build analytics applications
Recommend improvements
Implement disaster recovery
Maintain disaster recovery
Extract business logic
Create data inventories
Assess migration impact
How You'll Work.
Team & Collaboration
Business stakeholders
Process & Methodology
Agile
Full Job Description
Job Summary We are seeking a highly analytical and collaborative Data Engineering Contractor to support a critical data migration initiative within commercial lending, underwriting, and reporting functions. This role combines technical expertise with business analysis and stakeholder engagement. The contractor will analyze legacy systems (SQL, DataStage, SAS) to identify key data elements, document current data usage, and assess downstream impacts across reporting and regulatory systems. Location:_Cincinnati, OH (Downtown) Experience:5+ Years_ TOP SKILLS (Must Have) * 5+ years of experience with relational & non-relational databases (SQL, Snowflake, DB2, MongoDB) * 5+ years of experience analyzing legacy codebases (SQL, DataStage, SAS) * Strong programming skills in Python, Java, or J2EE Primary Responsibilities * Design, build, test, and maintain scalable data management systems aligned with migration goals * Collaborate with business stakeholders to gather requirements and translate them into technical solutions * Integrate modern data technologies into existing data ecosystems * Develop and optimize data pipelines for mining, modeling, and production use * Build custom software components and analytics applications for commercial lending and risk reporting * Recommend improvements to enhance data reliability, quality, and performance * Implement and maintain disaster recovery procedures ## Requirements Qualifications * Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) * 5+ years experience analyzing legacy code (SQL, DataStage, SAS) and documenting business logic * 5+ years experience with databases (SQL, Snowflake, DB2, MongoDB) * 3+ years experience developing backend solutions using Python, Java, or J2EE * 3–5 years experience building ETL/data pipelines (DataStage, dbt, or similar tools) * 5+ years experience in business analysis & stakeholder engagement * Strong communication and interpersonal skills * 2+
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