Talent.com
Senior Data Engineer
Senior Data EngineerCypress HCM • Cincinnati, OH, United States
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Senior Data Engineer

Senior Data Engineer

Cypress HCM • Cincinnati, OH, United States
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  • [job_card.full_time]
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Sr Data Engineer

Location : Blue Ash, OH (On-Site)

Pay : Salary (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. This role plays a critical part in advancing our data infrastructure and supporting the organization’s data-driven initiatives. The position evolves from a traditional Database Admin role into a modern data engineering opportunity as the organization transitions to Snowflake and cloud-based platforms. You’ll design, build, and optimize data pipelines, mentor junior engineers, and help shape best practices for data integrity, accessibility, and performance—all without direct managerial responsibilities.

Responsibilities

  • Design, implement, and maintain scalable, high-performance data pipelines and ETL processes.
  • Develop and manage data warehouse and data lake solutions, ensuring data quality, integrity, and reliability.
  • Support and enhance the organization’s transition to Snowflake and other cloud-based environments.
  • Collaborate with cross-functional teams to translate data requirements into technical solutions.
  • Optimize data workflows for efficiency, performance, and cost-effectiveness using modern tools and frameworks.
  • Implement and maintain data governance and security measures to ensure compliance with regulatory standards.
  • Troubleshoot and resolve issues related to data processing, quality, and system performance.
  • Evaluate and recommend emerging technologies and best practices in data engineering and analytics.
  • Document technical specifications, data lineage, and system architecture for transparency and collaboration.
  • Mentor junior data engineers and contribute to a culture of continuous improvement.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred).
  • 6+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
  • Proficiency in Python, Java, Scala, and SQL for data manipulation and analysis.
  • Hands-on experience with Snowflake or similar cloud data platforms (Azure preferred).
  • Strong understanding of data modeling, schema design, and distributed computing architectures.
  • Familiarity with cloud environments (AWS, Azure, or GCP).
  • Excellent problem-solving and analytical skills with the ability to troubleshoot complex systems.
  • Strong communication and collaboration abilities to work across teams and mentor others.
  • Prior experience in financial services, insurance, or banking is a plus.
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