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Data Engineer III

Cincinnati, OH, US • Posted 1 day ago • Updated 1 hour ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Analytical Skill
Data Engineering
Legacy Systems
Relational Databases
Data Management
Migration
Collaboration
Modeling
Analytics
Disaster Recovery
Computer Science
Information Systems
Database
Snow Flake Schema
IBM DB2
MongoDB
Python
Java
J2EE
Extract
Transform
Load
Business Analysis
Stakeholder Engagement
Communication
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Financial Services
Banking
Underwriting
Regulatory Reporting
Agile
Insurance
Training
SQL
Datastage
IBM InfoSphere DataStage
SAS
Reporting
Data Migration

Summary

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

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+ years experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Financial services / banking experience (commercial lending, underwriting, or regulatory reporting) is a plus
Agile experience is a plus
Ability to work independently in a fast-paced environment

What You'll Get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
You'll be eligible to earn referral bonuses!

Analyze existing SQL, DataStage, and SAS code to extract business logic and identify critical data elements
Create detailed inventories of current data usage across reporting and operational systems
Assess the impact of data migration on downstream processes, reports, and regulatory requirements

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91134517
Position Id: 312809897480495908174dc7c381604e
Posted 1 day ago

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