Gallup
Senior Data Engineer
$220K–$260K
San Francisco · Senior · Full-time · Posted May 11, 2026
- Experience
- At least five years in data engineering or backend engineering focused on data systems.
- Education
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience.
About the job
Designs and operates scalable production data systems and pipelines that provide analytics-ready data for Gallup’s products, research, analytics, and AI/ML workflows.
What you'll do
- Build and maintain reliable data pipelines, transformations, and layered data models.
- Improve system reliability and data quality through monitoring, alerting, automated checks, and operational incident response.
- Collaborate across teams, modernize legacy workflows, and mentor engineers through reviews and technical discussions.
What they ask for
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience.
- At least five years of experience in data engineering or backend engineering focused on data systems.
- Strong SQL and data modeling skills; production data pipeline design and operations experience.
- Experience with orchestration tools such as Airflow or Dagster, dbt or similar transformation frameworks, cloud data platforms, and Python or similar languages.
Nice to have
- Experience with data platform modernization or legacy migration; AWS experience.
- Experience with nontechnical stakeholders or AI teams where data quality and reproducibility are critical.
Pay
$220,000-$260,000 USD annual salary (base salary)
Tools
SQL, Airflow, Dagster, dbt, Snowflake, Databricks, BigQuery, Python
AI focus
Builds data models and pipelines supporting AI/ML workflows, with attention to data accessibility, quality, lineage, and reproducibility.
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