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Top Hybrid Data Engineering Jobs in San Francisco, CA
Productivity • Professional Services • Software • Design
The People Analyst role focuses on building and owning technical foundations for People Analytics, including database design, data applications, and ML operations while collaborating with various teams.
Top Skills:
HiveMlPrestoPythonRRedshiftSnowflakeSparkSQL
Database • Analytics
The Solutions Data Architect will guide customers in data warehouse initiatives, lead technical discussions, design architectures, and drive customer success from proof of concept to production.
Top Skills:
AirflowBigQueryDatabricksDbtDuckdbEltETLFivetranRedshiftSnowflakeSQL
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Artificial Intelligence • Healthtech • Insurance • Conversational AI • Automation
As Data Engineering Lead, you'll own SuperDial's data platform, scaling the data warehouse and pipelines while leading analytics workflows to support product and operational insights.
Top Skills:
AirflowClickhouseDbtGoogle Cloud FirestoreMongoDBNoSQLPythonSQL
Artificial Intelligence • Information Technology • Machine Learning • Software
Lead technical onboarding and integrations: map customer schemas to canonical models, design incremental and full data syncs, deploy pipelines across on-prem/cloud infra, collaborate with AI/ML teams to ensure high-fidelity inputs, and own successful customer deployments and last-mile onboarding.
Top Skills:
ClickhouseLangchainLanggraphMongoDBPythonSQL
Fintech • Software
Build and own core SQL and Python pipelines, design golden datasets at scale, ensure data quality and performance, and collaborate cross-functionally to enable data-driven decisions.
Top Skills:
AirflowAtlantaDatabricksDbtElasticsearchKafkaModePythonRedshiftRetoolSnowflakeSparkSQL
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Fintech • Healthtech • Payments
Own and evolve PayZen's data platform and architecture: design scalable warehouses/lakehouses and data models, improve pipelines and governance, enable analytics/AI/ML, and mentor the data engineering team.
Top Skills:
CtesData LakeData WarehouseLakehousePandasPythonSemantic LayerSparkSQLWindow Functions
Edtech
Lead the data engineering strategy and team to build scalable, secure data platforms, pipelines, and observability for analytics, AI/ML, personalization, and product intelligence. Partner cross-functionally to deliver production data systems, feature stores, and real-time pipelines while hiring, mentoring, and establishing standards for data quality and platform reliability.
Top Skills:
Sql,Python,Go,Aws,S3,Eks,Ecs,Snowflake,Streaming Data Systems,Real-Time Data Systems,Feature Stores,Pipeline Orchestration,Model Training Pipelines,Cloud-Native,Distributed Systems
Artificial Intelligence • Software
As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.
Top Skills:
AirflowBigQueryClickhouseDagsterDbtSnowflakeSparkSQL
Edtech
As a Senior Analytics Engineer, you'll build scalable data infrastructures, enable data-driven decisions, and collaborate with teams to enhance user engagement and learning outcomes.
Top Skills:
AirflowAWSBigQueryDbtGCPPythonRedshiftSnowflakeSQL
Artificial Intelligence • Information Technology • Software
Direct the data platform, develop ML systems for analyzing AI search behavior, and lead a data team while collaborating with product teams.
Top Skills:
AirflowBigQueryDbtPrefectPythonSnowflakeSQL
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Top hybrid Companies in San Francisco, CA Hiring Data & Analytics Roles
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