Data Engineer, GTM
Looking for a data engineer job in San Francisco? Choose from 44 open roles at 26 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The roles on this page span a wide band of responsibility. At the individual contributor end, engineers build and operate production data pipelines — ingesting data from product databases, third-party systems, and lab instruments, then transforming it into warehouse-ready models using tools such as dbt and Snowflake. Benchling's Data Engineer is a clear example, owning the full stack from ingestion through to the BI layer.
Several postings are specifically tied to AI and machine learning infrastructure. Anthropic's Software Engineer, Research Data Platform involves building pipelines and APIs that help researchers manage and query training data, while Lila Sciences asks for ETL work transforming raw scientific instrument outputs into analysis-ready datasets.
At the senior and staff levels, the emphasis shifts toward architectural decisions, cross-team adoption, and mentorship. The MaintainX Staff Data Engineer role frames the work as defining standards and driving governance across multiple squads, while Anthropic's Engineering Manager role adds people leadership over a platform serving machine learning researchers. Pinterest's Principal Engineer operates at petabyte-to-exabyte scale with Spark, Flink, and Kubernetes.
Python and SQL appear in the clear majority of these postings, making them the most consistently mentioned skills across the sample of 44 roles. Airflow follows closely, suggesting workflow orchestration is a common expectation. Spark and Snowflake appear in roughly a third to a half of postings. Agent-related work and API design appear in a notable minority. Less common mentions include Kafka, Kubernetes, Java, LLMs, and GCP. Because these are counts of mentions in descriptions rather than formal requirements, frequency reflects emphasis, not necessarily a strict gate.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
Onsite arrangements account for the majority of postings on this page, indicating that most employers expect regular in-office presence. A meaningful minority of roles list hybrid arrangements, and only two postings explicitly offer remote work. No posting was left unstated on this dimension, so the split is relatively clear. Hybrid terms are not always defined in the postings — the Pinterest Principal Engineer summary specifies one to two days per quarter on-site, which is notably lighter than a typical hybrid pattern, but most other postings do not detail which days or how frequently office attendance is expected.
Jobs checked 4 hours ago. · Guide reviewed 9 September 2026.
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