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Data Engineering

Staff Data Engineer

Columbus, OH

Hybrid Full time

$152,000 to $193,000 a year

The employer is a developer-tools company making it easier for engineering teams to ship reliable software.

We are hiring a Staff Data Engineer to join our data engineering team in Columbus. You will set technical direction on projects that matter to our customers. This is a full-time, permanent position. This role is hybrid, with three days a week in our Columbus office.

What you’ll do

  • Optimize warehouse cost and query performance
  • Work with stakeholders to turn reporting needs into data products
  • Model data in dbt so analysts and data scientists can rely on it
  • Monitor data quality and fix pipeline failures quickly
  • Build and maintain batch and streaming pipelines into the data warehouse
  • Mentor junior engineers and review their work
  • Set technical standards and guide decisions across multiple projects

What you’ll bring

  • Bachelor’s degree in Computer Science, Statistics or a related field
  • 8+ years of relevant professional experience
  • Strong SQL and Python skills
  • Experience with a cloud data warehouse
  • Experience with an orchestration tool such as Airflow or Dagster
  • A track record of leading projects from scope through delivery

Nice to have

  • Experience with Spark or Flink
  • Experience with data contracts or data observability tools

Compensation and benefits

The pay range for this position in Columbus, OH is $152,000 – $193,000 per year. Final pay depends on experience, skills and qualifications.

  • Tuition reimbursement
  • Commuter benefits
  • Medical, dental and vision insurance starting on day one
  • Health savings account with employer contribution
  • Annual performance bonus
  • Paid parental leave

The employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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