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Senior Data Engineer
Senior Data EngineerCypress HCM • Cincinnati, OH
Senior Data Engineer

Senior Data Engineer

Cypress HCM • Cincinnati, OH
[job_card.30_days_ago]
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  • [job_card.permanent]
[job_card.job_description]

Sr Data Engineer Location :   Blue Ash, OH (On-Site) Pay :  $115,000-130,000 (compensation can vary depending on experience) + Benefits, Community Involvement, PTO, 401k match (10% dollar for dollar), Roth contribution General Overview We’re looking for a Senior Data Engineer to join our growing Data team in Cincinnati. This position replaces a former Database Admin role but is evolving into a more engineering-focused opportunity due to the organization’s move toward Snowflake. You’ll play a key role in designing, developing, and optimizing our data environment while helping mentor junior team members.This is an excellent opportunity for someone ready to step into a technical leadership role — guiding others, owning critical data projects, and serving as a subject matter expert, without the need for direct managerial responsibilities. Responsibilities

  • Design, build, and maintain scalable data pipelines and integrations.
  • Support and enhance the organization’s move to Snowflake and cloud-based data solutions.
  • Partner with junior data engineers to provide mentorship, guidance, and technical direction.
  • Develop and optimize data models, ETL processes, and data warehouse structures.
  • Collaborate with business and IT stakeholders to ensure data integrity, accessibility, and performance.
  • Troubleshoot, debug, and improve existing data systems.
  • Serve as a bridge between data leadership and hands-on engineering teams.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or related field
  • 5+ years of experience in data engineering or related roles.
  • Proficiency in Python, Java, and SQL programming.
  • Experience with Snowflake or similar cloud data platforms.
  • Familiarity with Microsoft technology stack and cloud environments (Azure preferred).
  • Strong background in data warehousing, distributed computing architectures (6+ years), and data modeling.
  • Excellent problem-solving and analytical skills.
  • Demonstrated ability to assist and mentor junior team members.
  • Strong communication and collaboration skills.
  • Financial, Insurance, Banking industry experience is preferred.
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