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Database Systems Engineer

Cincinnati, OH
Pay
$105,000 per year
Benefits
Medical, dental, vision, HSA, 401k with company match
Experience
5+ years designing, building, and operating database systems and data pipelines
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

Database Systems Engineer

Designs and operates database systems and ETL/ELT pipelines in Azure, Databricks, and Microsoft Fabric, with SQL, Python, and Power BI. Requires 5+ years’ experience, a bachelor’s degree or equivalent, and U.S. work authorization without sponsorship.

Database Systems Engineer

Database Systems Engineer

Position Overview
We are seeking a Database Systems Engineer to design, build, and maintain scalable, secure data platforms that enable analytics and business insights. The role focuses on developing and operating ETL pipelines, managing relational and cloud-native databases in Azure, and integrating Databricks and Microsoft Fabric to deliver reliable data to BI consumers (Power BI). The ideal candidate combines strong SQL and Python skills with systems engineering experience to automate workflows, optimize performance, and ensure the availability and integrity of data systems.

Key Responsibilities

  • Design, implement and maintain database schemas, instances, and clusters across on-premises and Azure environments to meet performance, availability and security requirements.
  • Develop, test and operate ETL/ELT pipelines and data workflows using Azure services, Databricks, Microsoft Fabric or comparable platforms to ingest, transform and publish datasets.
  • Author and optimize SQL queries, stored procedures and Python-based transformations to improve data processing performance and reduce operational costs.
  • Collaborate with BI and analytics teams to deliver curated data products and datasets for Power BI, ensuring data quality, consistency and documentation.
  • Build and maintain automated deployment pipelines and infrastructure-as-code for database and data platform components; support CI/CD and release processes.
  • Implement monitoring, alerting and capacity planning for databases and data pipelines; proactively identify and remediate reliability and performance issues.
  • Define and enforce data security, access controls, backup and disaster recovery strategies in line with organizational policies and compliance requirements.
  • Work with cross-functional teams to gather requirements, design solutions and support production incidents and post-incident reviews.
  • Drive continuous improvement by automating repetitive tasks, documenting runbooks and promoting best practices for data engineering and systems operations.
  • Mentor junior engineers, participate in architecture reviews, and contribute to long-term roadmap and platform build decisions.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent practical experience.
  • 5+ years of experience designing, building and operating database systems and data pipelines in enterprise environments.
  • Strong SQL proficiency and experience writing complex queries, query optimization and indexing strategies.
  • Proficient in Python for data processing, automation and tooling.
  • Hands-on experience with Azure data services (Azure SQL, Synapse Analytics, Azure Data Factory) and familiarity with Azure architecture and security.
  • Experience with Databricks and the Spark ecosystem; familiarity with Microsoft Fabric or comparable lakehouse platforms.
  • Practical experience building ETL/ELT workflows, orchestration and automation of data pipelines.
  • Familiarity with Power BI and delivering data models or datasets for reporting and analytics.
  • Experience with database administration tasks: backups, restores, high-availability, performance tuning and capacity planning.
  • Excellent problem-solving, communication and collaboration skills; experience working in cross-functional agile teams.
  • Preferred: certifications such as Microsoft Certified: Azure Data Engineer Associate, Databricks certification or relevant cloud certifications.
  • Preferred: experience with infrastructure-as-code, Git-based CI/CD, and scripting for system build and automated workflows.

Benefits

  • Medical
  • Dental
  • Vision
  • HSA
  • Paid time off
  • 401k with company match
  • ...and more!
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 09/14/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.

Salary

$90000 - $105000 USD per year
Experience
5+ years designing, building, and operating database systems and data pipelines
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
Certifications
Preferred: Azure Data Engineer Associate, Databricks, or relevant cloud certifications

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