| Location | Cincinnati, OH |
Data Engineer II
Cincinnati
Information Technology
Contract: VMS
Job Summary
The Data Engineer designs, builds, and supports scalable, production-ready data solutions using Snowflake, dbt, SQL, and related enterprise technologies. The role translates business problems into technical requirements and implementable data solutions, working through ambiguity and supporting the full data-delivery lifecycle from discovery and design through implementation, testing, deployment, and production support.
The engineer will help modernize financial data flows, including integrations with QRM and Oracle OFSAA/FTPCS, and use approved AI-assisted development tools to improve delivery, testing, documentation, and maintainability while independently validating generated output.
Key Responsibilities
Partner with business and technical stakeholders to understand business problems and translate them into 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 Agile stories with clear technical requirements and acceptance criteria.
Participate in Agile planning, backlog refinement, estimation, design discussions, sprint execution, and retrospectives.
Develop scalable, reusable data models, transformations, and integration patterns.
Analyze and modernize legacy ETL and file-based data flows.
Implement data testing, reconciliation, monitoring, alerting, and exception-handling controls.
Design reliable processing for 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 to support 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.
Qualifications
Required
Bachelor's degree in Computer Science, Information Systems, Engineering, or an equivalent combination of education and experience.
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 with ambiguous, incomplete, or evolving requirements.
Experience refining high-level features into actionable Agile stories.
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, critical-thinking, problem-solving, documentation, and communication skills.
Ability to work independently and collaborate with business and technical partners.
Willingness to participate in a shared production-support rotation.
Preferred Skills & Experience
Experience with legacy ETL platforms such as DataStage, Informatica, or comparable technologies.
Python and CI/CD experience.
Experience using AI-assisted development tools such as GitHub Copilot.
TWS or comparable enterprise scheduling experience.
Treasury, liquidity, asset-liability management, funds transfer pricing, financial-risk, or regulatory-data experience.
QRM, Oracle OFSAA, or Oracle FTPCS experience.
Experience integrating SaaS or vendor-hosted applications through APIs or batch files.
Experience reconciling financial data to general-ledger balances.
Experience modernizing legacy ETL solutions using Snowflake and dbt.
Minimum Qualifications
Typically 3 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.
Why work at OpTech?
OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today!
By submitting your application, you acknowledge that recruiting technologies, including AI-assisted tools, may be used to support candidate evaluation, sourcing, matching, and communications.
OpTech is an Equal Opportunity Employer (EOE), all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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