Data Engineer

Job Title: Data Engineer Location: Cincinnati OH Duration: Contract - 13 months Pay Range: $55/hr to $60/hr (W2) Job ID: 411854 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Data Engineer to join our dynamic team. The ideal candidate will have strong experience in Snowflake, dbt, SQL, and modern data engineering practices and a proven ability to translate business problems into implementable, production-ready data solutions across the full delivery lifecycle.

Responsibilities: Partner with business and technical stakeholders to convert business problems into clear technical requirements and data solutions. Analyze business processes, source data, existing system behavior, and downstream usage to define 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, including integrations with QRM and Oracle OFSAA/FTPCS. Implement data testing, reconciliation, monitoring, alerting, and exception-handling controls. Design reliable processing that supports 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 improve analysis, coding, testing, troubleshooting, and documentation while validating generated output. Participate in the 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.

Required Skills & Qualifications: Hands-on experience with Snowflake, dbt, and SQL. Experience designing, implementing, and supporting production data flows. Proven ability to translate business problems into technical requirements and implementable solutions. Experience working through ambiguous, incomplete, or evolving requirements within an Agile team. Data modeling, testing, reconciliation, and production troubleshooting experience. Understanding of reruns, backfills, failure recovery, and operational supportability. Experience with Git-based development and code reviews.

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 with legacy ETL platforms such as DataStage or Informatica. 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 OFSA/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 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. Why BCforward? At BCforward, we believe in advancing lives and careers.

When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.