{"id":1990114,"url":"https://alion.io/job/gatesfoundation-senior-data-engineer-it-enterprise-data-solutions","title":"Senior Data Engineer, IT Enterprise Data Solutions","company":{"id":232403,"name":"Gates Foundation","domain":"gatesfoundation.org","url":"https://alion.io/company/gatesfoundation","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":157400,"max":236000,"currency":"USD","period":"year","gross":null,"usd_annual":236000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Jira","optional":false},{"name":"Least Privilege","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-10T23:31:12Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"The Foundation\nWe are the largest nonprofit fightingpoverty, 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.\nThe Team\nAs 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.Your Role\nAs 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.\nYou 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.\n*This is a Seattle based role.\nWhat You’ll Do\nData Engineering & Solution Delivery\n\nDesign, 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.\nBuild reusable ingestion and transformation patterns for structured, semi-structured and unstructured data, including relational data, JSON, XML, CSV, Excel, and document metadata.\nDevelop curated data products and dimensional models using star and snowflake techniques to support enterprise reporting, semantic models, analytics, and downstream operational use cases.\nImplement transformations using SQL, Python, Spark/PySpark, Databricks notebooks, dbt Cloud, Snowpark, and related cloud-native engineering tools.\nContribute hands-on to modernization initiatives, including migration from legacy data warehouse and ETL patterns to lakehouse, cloud warehouse, and ELT-based architectures.\nPlatform Reliability, Security & Operations\n\nMonitor and optimize pipelines, storage, compute, and databases for performance, scalability, availability, and cost efficiency.\nImplement data quality controls, reconciliation, exception handling, observability, logging, alerting, and service-level measures for critical data flows.\nLead or support incident triage, root-cause analysis, restoration, and follow-through on preventive actions for production data services.\nApply secure engineering practices including managed identity, role-based access, encryption, secrets management, least-privilege access, and sensitive-data handling requirements.\nImplement and maintain CI/CD, automated testing, version control, release management, and environment promotion practices for data workloads.\nAI, Search & Advanced Analytics Enablement\n\nEngineer governed, high-quality data and document pipelines that support enterprise search, AI-assisted knowledge discovery, retrieval-augmented generation, analytics, and data science use cases.\nPrepare and curate source data, metadata, permissions, lineage, and quality signals needed for reliable AI solutions while preserving source-system security and access policies.\nPartner with Knowledge Management, AI, Business Intelligence, and Information Security teams to define fit-for-purpose data products for model grounding, evaluation, and responsible use.\nHelp establish repeatable patterns for document ingestion, chunking-ready content preparation, semantic metadata, and controlled data exchange across internal teams and affiliates.\nEvaluate emerging data and AI platform capabilities through proofs of concept and recommend adoption based on value, security, sustainability, and architectural fit.\nEngineering Excellence & Collaboration\n\nConduct design and code reviews, contribute to engineering standards, and promote reusable patterns for data modeling, orchestration, testing, observability, and documentation.\nCollaborate with architects and product teams to clarify requirements, assess trade-offs, estimate delivery, and convert solution designs into actionable implementation plans.\nMentor data engineers and contingent staff through pairing, technical guidance, review, and knowledge sharing; may coordinate work across small delivery efforts.\nCreate and maintain technical documentation, runbooks, data mappings, lineage, and operational procedures; contribute metadata and descriptions for synchronization with Collibra.\nWork effectively in Agile delivery teams using Scrum, Jira, and DevSecOps practices while communicating clearly with technical and non-technical partners.\nYour Experience\nBachelor’s degree in computer science, data engineering, information systems, or a related field, or equivalent combination of education and experience.\n\nTypically 7+ years of relevant data engineering experience in enterprise environments, including designing, delivering, and operating production data platforms and pipelines.\n\nStrong hands-on expertise with Azure data services, Databricks, Snowflake, and dbt Cloud; experience with Azure Data Factory and Fivetran is strongly preferred.\n\nAdvanced proficiency in SQL and Python, plus practical experience with Spark/PySpark or Scala and cloud scripting or automation.\n\nExperience implementing lakehouse, cloud data warehouse, ELT/ETL, and medallion or layered data architecture patterns.\n\nDemonstrated experience with dimensional modeling, data normalization, slowly changing dimensions, point-in-time history, and enterprise data quality practices.\n\nExperience building CI/CD pipelines for data workloads, automated testing, infrastructure-as-code or configuration-as-code, and modern version control workflows.\n\nStrong understanding of data security, privacy, access controls, encryption, lineage, retention, and governance in cloud data environments.\n\nExperience supporting analytics and semantic-layer platforms such as Power BI, and working with metadata/governance platforms such as Collibra, is preferred.\n\nDemonstrated ability to enable AI through data, including an understanding of the architecture, quality, metadata, permissions, lineage, scalability, and evaluation requirements for search, RAG, and other AI use cases.\n\nProven ability to diagnose production issues, lead technical problem solving, and implement short-, medium-, and long-term corrective actions.\n\nExperience working with vendors or distributed engineering teams and reviewing deliverables for alignment with enterprise standards and maintainability.\n\nExcellent written and verbal communication skills, sound judgment, and the ability to explain complex technical concepts to varied audiences.\n\nA demonstrated commitment to diversity, equity, inclusion, and respectful collaboration.\n\n*Must have unrestricted work authorization in the country where this position is located. \nThe Foundation does not provide immigration-related sponsorship for this role. This includes direct company sponsorship and any work authorization requiring a written submission or other immigration support from the company (eg: H-1B, O-1, L-1, E, OPT, STEM-OPT, CPT, TN, J-1, etc.).\nThe salary range for this role is $157,400 to $236,000 USD. We recognize high-wage market differences in Seattle and Washington D.C., where our offices are located. The range for this role in these locations is $173,100 to $259,700 USD. As a mission-driven organization, we strive to balance competitive pay with our mission. New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidate’s job-related skills, experience, and expertise, as evaluated during the interview process.\nHiring Requirements\nAs part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.\nCandidate Accommodations\nWe’re committed to providing an inclusive and accessible hiring experience for all candidates. If you have a disability or medical condition and need an accommodation at any stage of the application or interview process-such as an ASL interpreter, alternative interview format, or physical accessibility support-we’re happy to help. Please contact  the position number and a brief description of your accommodation needs. Requests will be handled confidentially.\nInclusion Statement\nWe are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion - of voices, ideas, and approaches - and we support this diversity through all our employment practices.\nAll applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.","description_format":"text","description_chars":10216,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Professional Services","Vaccines","Nonprofits & Foundations"],"lifecycle":[{"event":"open","at":"2026-10-07T05:29:35Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 9","filings_12m":9,"filings_prev_12m":6,"green_card_filings_12m":0,"median_offered_wage_usd":252500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.835,"p_room":1,"age_days":4,"expected_fill_days":26,"reasons":["conf:3","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":236000,"is_top_pay":true},"html_url":"https://alion.io/job/gatesfoundation-senior-data-engineer-it-enterprise-data-solutions","json_url":"https://alion.io/job/gatesfoundation-senior-data-engineer-it-enterprise-data-solutions.json","meta":{"generated_at":"2026-10-11T04:04:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2425,"day_limit":5000,"remaining_today":2575,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":232403},"rest":"https://alion.io/mcp/rest/get_company?id=232403"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgatesfoundation-senior-data-engineer-it-enterprise-data-solutions"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgatesfoundation-senior-data-engineer-it-enterprise-data-solutions"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgatesfoundation-senior-data-engineer-it-enterprise-data-solutions"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gatesfoundation-senior-data-engineer-it-enterprise-data-solutions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgatesfoundation-senior-data-engineer-it-enterprise-data-solutions"}]}