Data Engineer

Eliassen Group; Cincinnati (OH); On-site; USD 76,000 - 83,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group's Cincinnati client is seeking a Data Engineer to design, build, and support scalable, production-ready data solutions using Snowflake, dbt, SQL, and related enterprise technologies. You will translate business problems into technical requirements and contribute across discovery, design, implementation, testing, deployment, and production support.

The role modernizes financial data flows with QRM and Oracle OFSAA/FTPCS, and uses approved AI-assisted development tools to improve

Qualifications

• Bachelor's degree or equivalent in CS/IS/Engineering or related field.
• Typically three or more years of data-engineering, ETL/ELT, or software-engineering experience.
• Experience delivering data solutions from problem definition through production support.

Responsibilities

• Translate business problems into clearly defined technical requirements and data solutions with stakeholders.
• Analyze source data, processes, and downstream usage to identify technical problems.
• Design, build, test, deploy, and support production data pipelines using Snowflake, dbt, SQL, and enterprise technologies.
• Refine features into Agile-friendly stories with clear requirements and acceptance criteria.
• Participate in Agile planning, backlog refinement, estimation, and sprint execution.
• Develop scalable data models, transformations, and integration patterns.
• Support modernization of legacy ETL and file-based data flows.
• Implement data testing, reconciliation, monitoring, alerts, and exception handling.

Skills

Analytical thinking

Problem-solving

Communication

Documentation

Education

Bachelor's degree in Computer Science or related field

3+ years data-engineering/ETL experience

End-to-end data solution delivery

Tools

Snowflake

dbt

SQL

Git

Job description

On-site in Cincinnati, OH

Our client seeks a Data Engineer to design, build, and support scalable, production-ready data solutions using Snowflake, dbt, SQL, and related enterprise technologies. The role translates business problems into technical requirements and implementable solutions and contributes across discovery, design, implementation, testing, deployment, and production support. The position will help modernize financial data flows, including integrations with QRM and Oracle OFSAA/FTPCS, and will use approved AI-assisted development tools to improve delivery while independently validating generated output.

Description

On-site in Cincinnati, OH

Our client seeks a Data Engineer to design, build, and support scalable, production-ready data solutions using Snowflake, dbt, SQL, and related enterprise technologies. The role translates business problems into technical requirements and implementable solutions and contributes across discovery, design, implementation, testing, deployment, and production support. The position will help modernize financial data flows, including integrations with QRM and Oracle OFSAA/FTPCS, and will use approved AI-assisted development tools to improve delivery while independently validating generated output.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $55.00 to $60.00/hr. w2

Job Number #: JN -112026-109332

Responsibilities

• Partner with business and technical stakeholders to translate business problems into clearly defined technical requirements and data solutions.
• Analyze business processes, source data, existing system behavior, and downstream usage to identify underlying technical problems.
• Design, build, test, deploy, and support production data pipelines using Snowflake, dbt, SQL, and approved enterprise technologies.
• Refine high-level features into workable Agile stories with clear technical requirements and acceptance criteria.
• Participate in Agile planning, backlog refinement, estimation, design discussions, sprint execution, and retrospectives.
• Develop scalable and reusable data models, transformations, and integration patterns.
• Support analysis and modernization of legacy ETL and file-based data flows.
• Implement data testing, reconciliation, monitoring, alerting, and exception-handling controls.
• Design reliable processing to support reruns, source corrections, backfills, and recovery from production failures.
• Integrate data pipelines with databases, schedulers, APIs, files, and vendor applications.
• Use approved AI-assisted development tools for analysis, coding, testing, troubleshooting, and documentation while validating generated output.
• Participate in a shared production-support rotation and assist with critical data-processing incidents.
• Troubleshoot production issues, perform root-cause analysis, and implement sustainable corrections.
• Maintain technical designs, source-to-target mappings, data-flow documentation, runbooks, and troubleshooting procedures.
• Identify opportunities to simplify processing, automate recurring activities, and improve operational stability.

Experience Requirements

• Hands-on experience with Snowflake, dbt, and SQL.
• Experience designing, implementing, and supporting production data flows.
• Ability to translate business problems into technical requirements and implementable solutions.
• Experience working through ambiguous or evolving requirements.
• Experience refining features into workable stories within an Agile team.
• Experience with data modeling, testing, reconciliation, and production troubleshooting.
• Understanding of reruns, backfills, failure recovery, and operational supportability.
• Experience with Git-based development and code-review practices.
• Ability to analyze and modernize complex or poorly documented data flows.
• Strong analytical, problem-solving, documentation, and communication skills.
• Ability to work independently while collaborating with business and technical partners.
• Willingness to participate in a shared production-support rotation.
• Nice to have: legacy ETL (DataStage, Informatica, or similar), Python, CI/CD, TWS or comparable scheduling, treasury or financial-risk data experience, QRM or Oracle OFSA/OFSAA/FTPCS, SaaS integrations via APIs or batch files, financial data reconciliation to general-ledger balances, modernizing legacy ETL with Snowflake and dbt.

Education

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or an equivalent combination of education and experience.
• Typically three or more years of data-engineering, ETL/ELT, or comparable software-engineering experience.
• Demonstrated experience contributing to data solutions from problem definition through production implementation and support.