Data Engineer

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

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 Requirements:

• 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.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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