Data Engineer
CBTS Technology Solutions LLC
Cincinnati, OH, United States
7 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$124,800.0 - $143,520.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Amazon Web Services
Business Logic
Microsoft Azure
Information Systems
Extract Transform Load (ETL)
Data Migration
IBM DB2
IBM InfoSphere DataStage
Disaster Recovery
Java Platform Enterprise Edition (J2EE)
+14 more
Python (Programming Language)
MongoDB
SAS (Software)
Software Engineering
SQL Databases
Snowflake
Backend
Information Technology
Non-relational Database
Codebase
Operational Systems
Data Management
Data Pipelines
Programming Languages
Job description
- Analyze existing 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.
- Design, construct, install, test, and maintain scalable data management systems aligned with
- migration goals.
- Collaborate with business stakeholders to gather requirements and translate them into actionable engineering tasks.
- Integrate modern data management and software engineering technologies into existing data
- ecosystems.
- Develop and optimize data pipelines for mining, modeling, and production.
- Create custom software components and analytics applications tailored to commercial lending and risk reporting.
- Recommend improvements to enhance data reliability, quality, and performance.
- Implement and maintain disaster recovery procedures.
Requirements
- At least 5 years of experience working with relational and non-relational databases (e.g., SQL, dbt, Snowflake, DB2, MongoDB).
- Minimum 1 year of experience analyzing legacy codebases (SQL, DataStage, SAS)
- Python, Java, or J2EE, * Bachelors degree in Computer Science, Information Systems, or related field; or equivalent work experience.
- Minimum 5 years of experience analyzing legacy codebases (SQL, DataStage, SAS) and documenting business logic.
- At least 5 years of experience working with relational and non-relational databases (e.g., SQL, Snowflake, DB2, MongoDB).
- 3+ years of experience developing backend solutions using programming languages such as Python, Java, or J2EE.
- 3-5 years of experience building and maintaining data pipelines using tools like DataStage, dbt, and other ETL frameworks.
- Minimum 5 years of experience in business analysis, including stakeholder engagement and translating requirements into technical solutions.
- Excellent communication and interpersonal skills; able to work effectively with technical and non-technical teams.
- 2+ years of experience working with cloud platforms such as AWS or Azure.
- Experience in financial services or banking, especially in commercial lending, underwriting, or regulatory reporting, is a strong plus.
- Prior Agile experience is a strong plus.
Benefits & conditions
6 Month Contract - W2 Only - US Citizen or Green Card Only - NO (C2C, H1-B, F1, OPT, EAD)
Onsite 5 days a week - Cincinnati, OH 45202 - Pay $60 - $69 per hour W-2 ONLY
CBTS is searching for a highly analytical and collaborative Data Engineering Contractor to support a critical data migration initiative. This role blends technical expertise with strong business analysis and stakeholder engagement. The contractor will be responsible for deep analysis of SQL and dbt, code? Identify key data attributes, document current data usage, and assess downstream impacts.
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