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# Data Engineer

- **Company:** Kforce Inc.
- **Location:** Cincinnati, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Agile Methodology, Cloud Storage, Computer Engineering, Continuous Integration, Data Integration, Extract Transform Load (ETL), Data Migration, Data Mining, Data Sharing, Data Warehousing, IBM DB2, IBM InfoSphere DataStage, DevOps, Dimensional Modeling, JSON, Unix Shell, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Cloud Services, Shell Script, PL-SQL, Extensible Markup Language (XML), Enterprise Data Management, Parquet, Automated Data Processing (ADP), Data Processing, Sql Optimization, Snowflake, Git, Data Lakes, Information Technology, Tools for Reporting, Data Lakehouse, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/7d73038a-fe59-449c-9b1a-e80da81f30aa

## About the Role

* A Bachelor's degree in Computer Engineering, Computer Science or other related discipline or the equivalent combination of education, training, or work experience
 * 8-10 years of engineering experience
 * Experience with performance tuning, root cause analysis, production support, and incident management
 * The ideal candidate will have extensive experience working with multiple source and target systems including Oracle, DB2, Snowflake, flat files, cloud storage, structured, semi-structured, and unstructured data sources
 * Working knowledge of Git, CI/CD pipelines, Agile methodologies, and DevOps practices
 * Should possess deep expertise in IBM DataStage, Snowflake, Unix Shell Scripting, PL/SQL
 * Strong hands-on experience with IBM DataStage 11.7 or above including Parallel Jobs, Sequencers, Parameter Sets, Job Monitoring, Administration, and Performance Tuning
 * Advanced SQL and PL/SQL development skills with strong experience in Oracle and DB2 environments
 * Experience integrating data from Oracle, DB2, SQL Server, Snowflake, flat files, XML, JSON, Parquet, and cloud storage platforms using DataStage
 * Strong experience with Snowflake including, Streams and Tasks, Dynamic Tables, Internal and External Stages, Secure Views, Data Sharing and Query Performance Optimization
 * Experience designing, developing cloud-native data pipelines, and migrating data from on-premises systems to Snowflake
 * Strong Unix/Linux Shell Scripting skills for process automation, file handling, batch scheduling, operational support, and production troubleshooting
 * Experience creating high-performance batch, incremental, and CDC-based data pipelines for large-volume data processing
 * Strong understanding of ETL/ELT architecture, Data Warehousing, Dimensional Modeling, Data Lakes, and Data Lakehouse architectures

## Description

A client with Kforce is seeking a Senior Data Engineer in Cincinnati, OH., This role involves building scalable data pipelines, optimizing data movement processes, supporting data warehouse, data lake, and Lakehouse platforms, and enabling enterprise analytics and reporting solutions.

Duties:

 * Design, develop, and support scalable IBM DataStage ETL solutions and enterprise data pipelines for mission-critical applications
 * Collaborate with business and technology teams to deliver high-quality, performant, and reliable data integration solutions aligned with enterprise architecture standards
 * Design, develop, test, deploy, and support complex ETL/ELT solutions using DataStage and enterprise data pipelines
 * Develop reusable ETL frameworks using IBM DataStage, parameterized jobs, metadata-driven solutions, and automated data processing workflows
 * Analyze business and technical requirements and translate them into scalable ETL designs and data integration solutions
 * Implement data extraction, transformation, validation, cleansing, reconciliation, and loading processes using DataStage


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