Job Opportunities API

Build the data foundation that powers Gallup’s products, analytics and AI innovation. As a senior data engineer at Gallup, you’ll design and build the production data systems that enable high-quality, analytics-ready data across our product and research teams. You’ll translate architectural vision into scalable pipelines, resilient data models and reliable operational workflows, helping Gallup modernize legacy systems and accelerate our AI ambitions. What You’ll Do Design and implement reliable, scalable data pipelines that ingest, process and serve structured and unstructured data across Gallup Build transformation pipelines that convert raw data into high-quality datasets for analytics and experimentation Implement layered data models (raw → curated → semantic) to support analytics, experimentation and AI/ML workflows, with attention to reproducibility and data lineage Translate architectural patterns into production-grade pipelines, models and infrastructure Design systems for reliability, scalability and maintainability in complex, evolving environments Implement monitoring, alerting and automated data quality checks to improve reliability and observability Support incident response, root cause analysis and operational improvements Establish and contribute to standards for data modeling, pipeline design and operational workflows Work closely with product managers, analysts, data scientists and software engineers to understand data needs and build scalable solutions 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 Gallu