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Data Engineer

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Agility Partners
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

A Little About This Gig

Agility Partners is seeking a qualified Data Engineer to fill an open position with one of our clients in the banking industry. This is an exciting opportunity to design modern data systems that directly support business growth and decision‑making. In this role, you’ll build the foundational pipelines, models, and architecture that power advanced analytics. You’ll also contribute to innovation by exploring new methods for data acquisition and system optimization.

Responsibilities
  • Design, construct, install, test, and maintain scalable data management systems.
  • Build high‑performance algorithms, predictive models, prototypes, and analytics components.
  • Ensure systems meet company requirements and comply with industry best practices.
  • Integrate emerging data and software engineering technologies into existing data structures.
Qualifications
  • Technical degree or equivalent hands‑on experience.
  • Experience with both relational and non‑relational databases (SQL, MySQL, No

    SQL, Hadoop, Mongo

    DB, etc.).
  • Experience programming or architecting backend systems (Java, J2EE, etc.).
  • Knowledge of data mining, modeling, and production processes.
  • Familiarity with algorithms, data acquisition methods, and data quality principles.
  • Ability to employ multiple programming languages and tools to connect systems.
  • Strong collaboration skills with data architects, IT teams, and data scientists.
Reasons to Love It
  • Opportunity to design impactful data systems that drive high‑visibility business decisions.
  • Work with modern tools and emerging technologies in a highly innovative environment.
  • Join a collaborative team that values new ideas, experimentation, and continuous improvement.
  • Ability to shape best‑in‑class data practices and influence long‑term architecture.
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