Gallup
Senior Data Engineer
San Francisco · Senior
Sponsorship not specified$230k-$280kDetected 36 days ago
SQLBigQuerySnowflakeDatabricksAWSMachine LearningAirflowdbtData EngineeringA/B TestingDesign SystemsResearch
About the role
- 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.
- Learn more about our work and life at Gallup.
- We also offer an estimated annual salary range of $230,000-$280,000 for this role.
Responsibilities
- 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
- 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
- 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.
Requirements
- You have built and operated production data systems and understand the realities of running pipelines reliably at scale.
- Execution excellence: You have built and operated production data systems and understand the realities of running pipelines reliably at scale.
- 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.
- 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
Nice to have
- 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
Compensation
- We also offer an estimated annual salary range of $230,000-$280,000 for this role.
Company info
- What Makes You Stand Out
This listing is sourced directly from Gallup's careers page and normalized into a canonical job model.