Help teams transition from manual and legacy workflows to automated, modern data systems
Mentor engineers through code reviews and architectural discussions
What Makes You Stand Out
Execution excellence: You have built and operated production data systems and understand the realities of running pipelines reliably at scale.
Practical problem solver: You bring sound engineering judgment to incomplete documentation, legacy workflows and evolving requirements. You make thoughtful tradeoffs and sequence work intelligently.
Modern data builder: You are fluent in ingestion frameworks, transformation pipelines and layered data modeling, and you translate architectural direction into clean, production-grade implementations.
Collaborative partner: You enjoy working across product, analytics and engineering teams and can translate business needs into scalable technical capabilities.
AI-forward mindset: You are curious about AI and modern tooling, experiment beyond your day job, and think intentionally about how data modeling and accessibility support AI systems and reproducibility.
What You Need
Bachelor’s or master’s degree in computer science, engineering or a related field, or equivalent experience required
At least five years of experience in data engineering or backend engineering focused on data systems required
Strong SQL skills and deep understanding of data modeling required
Experience designing and operating production data pipelines required
Experience with orchestration tools such as Airflow or Dagster required
Experience running dbt workflows or similar transformation frameworks required
Hands-on experience with cloud data platforms such as Snowflake, Databricks or BigQuery required
Strong programming experience in Python or similar languages required
Experience implementing data quality, monitoring or observability frameworks required
Experience leading or participating in data platform modernization or migration from legacy environments strongly preferred
Experience with AWS preferred
Experience partnering directly with nontechnical stakeholders and influencing business decisions from a technical lens preferred
Experience working closely with AI teams in environments where data quality and reproducibility are critical preferred
A commitment to working on-site at Gallup’s San Francisco office at least three days per week required
About Gallup
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.
Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $220,000-$260,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
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