Sr. Data Engineer

Insight Global
Cincinnati, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 127K

Job location

Cincinnati, United States of America

Tech stack

Automation of Tests
Unit Testing
Software Quality
Continuous Integration
ETL
Data Mining
Data Systems
IBM InfoSphere DataStage
Disaster Recovery
Regression Testing
Data Streaming
Data Processing
Snowflake
Data Management
Software Coding
Data Pipelines
Programming Languages

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., * 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.

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

Nice to Have Skills & Experience

  • Experience in banking or other highly regulated industry

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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