Sr. Data Engineer

Job Description

An employer is looking for an experienced Data Engineer for an on-site, contract opportunity in the Cincinnati, Ohio area. The client is a large bank and the Data Engineer III contract role will support the Principal Data Engineer by developing, testing, and monitoring high quality ETL code for several time sensitive, enterprise level initiatives. The position requires strong technical expertise to deliver efficient, accurate, and scalable data solutions that follow established governance and coding standards. Core responsibilities include building and optimizing ETL pipelines using IBM DataStage, Snowflake, dbt, and MettleCI, with a focus on code quality, data accuracy, and operational reliability. The ideal candidate will be able to rapidly contribute to critical project milestones while maintaining strict adherence to best practices and governance processes.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Design, build, test, and maintain scalable data management systems and pipelines.

• Develop high performance algorithms, predictive models, prototypes, and custom software components to support analytics and data processing needs.

• Ensure all data systems adhere to business requirements, governance standards, and industry best practices.

• Demonstrated experience with data pipeline testing, including: Unit testing for ETL/ELT components, Integration and regression testing, Data quality and validation frameworks, Automated testing within CI/CD workflows

• Integrate new data management tools, engineering technologies, and automation capabilities into existing architectures.

• Establish and optimize processes for data modeling, data mining, and data production workflows.

• Research and identify new opportunities for leveraging existing data assets.

• Utilize a variety of programming languages, integration tools, and platforms to connect systems and enable seamless data flow.

• Collaborate closely with cross functional partners, including solution architects, IT teams, and data scientists, to achieve project objectives.

• Recommend and implement improvements to enhance data quality, reliability, and performance.

• Maintain and update disaster recovery procedures to ensure system resilience.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 5+ years' relevant experience

• Strong experience building and optimizing ETL pipelines using IBM DataStage, Snowflake, DBT and MettleCI

• Experience with data pipeline testing (unit testing for ETL/ELT components, integration and regression testing, data quality and validation frameworks, automated testing with CICD workflows)

• Strong technical expertise to deliver efficient, accurate and scalable data solutions that follow established governance and coding standards

• Strong communication and collaboration skills - Experience in banking or other highly regulated industry