Job Posting Title:
Sr Data Engineer
Req ID:
Job Description:
The Business Operations team helps guide and articulate technology strategy and research, and is responsible for driving the day-to-day operation of the Product & Technology organization, including: project and portfolio management and tracking; organization-level capital, space, and resource management and allocation; process management; technical incident management; and our administrative and workplace experience support team.
Job Summary:
We're looking for a Sr Data Engineer to build critical data pipelines and warehouse infrastructure, with a focus on making high-quality, governed data available to power both traditional analytics and AI use cases.
Responsibilities and Duties of the Role:
• You will be building end-to-end ELT pipelines and data models spanning multiple source systems and downstream consumers
• Build warehouse schemas (star schema, semantic/operational layers) that balance performance, scalability, and usability
• Establish and enforce data quality, lineage, and observability practices across pipelines
• Partner with AI/Data Leads, and product teams to translate AI data requirements into robust pipeline designs
• Contribute to making curated datasets available for downstream AI use cases - feature tables, embeddings pipelines, semantic layers
• Troubleshoot pipeline failures, data discrepancies, and performance issues
• Document data models, pipeline logic, and operational runbooks
• Participate in code reviews and follow team engineering standards
Required Education, Experience/Skills/Training:
Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioral attributes and/or leadership capabilities)
Basic Qualifications
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 5+ years of professional experience in software or data engineering
• Strong SQL skills; Strong proficiency in Python (or similar) for pipeline development
• Experience with at least one cloud data warehouse like Snowflake (Preferred), BigQuery, Redshift, or similar
• Experience with ELT/ETL tooling like dbt (Preferred), Airflow, Fivetran, or similar and orchestration concepts
• Hands on experience with data modeling fundamentals (normalization, dimensional/star schema)
• Exposure to streaming or event-based data (SNS/SQS, Kafka, Kinesis) is a plus
• Exposure to AI/ML data needs (vector stores, embeddings, feature pipelines) is a plus, not required
Job Posting Segment:
Business Operations
Job Posting Primary Business:
BO - Technology Planning & Operations
Primary Job Posting Category:
Data Engineering
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Seattle, WA, USA
Alternate City, State, Region, Postal Code:
Date Posted:
2026-10-14
