Senior Data Engineer, IT Enterprise Data Solutions

The Foundation

We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities.

As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally.

As part of the IT Enterprise Data Solutions (EDS) department, the Data Engineering team’s mission is to lead on data technology and utilization, enabling informed decision‑making and strategic insights across the foundation. We are committed to providing a robust, secure, and scalable data platform that empowers data‑driven initiatives and cultivate collaboration. Working with our business operations and foundation strategy program partners, the team supports the management of the EDW, Enterprise Data Platform, building and integration of data systems, shared data exchange, data platform operations and data architecture support.

As a Senior Data Engineer, you will design, build, operate, and continuously improve secure, scalable, and reliable data solutions on the foundation’s Modern Data Platform. You will be a senior hands‑on engineer and domain expert who translates business and technical requirements into production‑ready pipelines, data products, models, and platform capabilities.

You will work with data and AI engineers, business systems analysts, product owners, data analysts, BI engineers, security specialists, and service partners. Your work will improve the availability, quality, lineage, and usability of data for reporting, search, AI‑assisted knowledge discovery, retrieval‑augmented generation, and other data‑driven decision‑making across the foundation and its affiliates.

This is a Seattle based role.

• Design, develop, test, deploy, and support configuration‑driven ELT/ETL pipelines that acquire data from enterprise applications, databases, APIs, file repositories, partner data sources, and shared data exchanges.
• Build reusable ingestion and transformation patterns for structured, semi‑structured and unstructured data, including relational data, JSON, XML, CSV, Excel, and document metadata.
• Develop curated data products and dimensional models using star and snowflake techniques to support enterprise reporting, semantic models, analytics, and downstream operational use cases.
• Implement transformations using SQL, Python, Spark/PySpark, Databricks notebooks, dbt Cloud, Snowpark, and related cloud‑native engineering tools.
• Contribute hands‑on to modernization initiatives, including migration from legacy data warehouse and ETL patterns to lakehouse, cloud warehouse, and ELT‑based architectures.

• Monitor and optimize pipelines, storage, compute, and databases for performance, scalability, availability, and cost efficiency.
• Implement data quality controls, reconciliation, exception handling, observability, logging, alerting, and service‑level measures for critical data flows.
• Lead or support incident triage, root‑cause analysis, restoration, and follow‑through on preventive actions for production data services.
• Apply secure engineering practices including managed identity, role‑based access, encryption, secrets management, least‑privilege access, and sensitive‑data handling requirements.
• Implement and maintain CI/CD, automated testing, version control, release management, and environment promotion practices for data workloads.

• Engineer governed, high‑quality data and document pipelines that support enterprise search, AI‑assisted knowledge discovery, retrieval‑augmented…