Data Engineer Jobs in Glendale, CA

Reposted 3 Days AgoSaved
Hybrid
Glendale, CA, United States
150K-180K Annually
Senior level
150K-180K Annually
Senior level
Cloud • Legal Tech • Marketing Tech • Payments • Software
Own and define Dubsado’s data infrastructure strategy, including pipelines, warehouse reliability, analytical modeling, data quality, observability, and tooling standards. Build scalable data systems, collaborate with engineering, product, and business teams, and support AI agents, customer-facing features, and internal users. Serve as the initial dedicated data specialist, operating autonomously while gradually distributing data quality ownership across engineering.
Top Skills: BigQueryClaude CodeCursorDbtHevoMetabaseMongoDBObservablePosthogSQL
16 Days AgoSaved
In-Office
Burbank, CA, USA
107K-143K Annually
Mid level
107K-143K Annually
Mid level
Digital Media • Gaming • News + Entertainment • Sports
Develop and maintain end-to-end data pipelines, data models, backend architectures, and campaign-planning tools for Disney’s Performance Marketing team. Establish engineering standards for pipeline development, observability, documentation, quality controls, and monitoring. Collaborate with marketers, data scientists, analysts, and engineers to turn prototypes into reliable production applications and ensure advertising optimizations and business metrics remain accurate.
Top Skills: Ai/LlmsAWSDatabricksFacebook/InstagramGoogle AdsGoogle Display VideoInnovidLiverampPythonSnowflakeSparkSQLTerraformThe Trade DeskYahoo Dsps
3 Days AgoSaved
Hybrid
Glendale, CA, USA
Senior level
Senior level
Cloud • Legal Tech • Marketing Tech • Payments • Software
Own and define the technical direction of Dubsado’s data infrastructure as its first dedicated data hire. Assess and improve existing pipelines, warehouse systems, analytical models, reliability, quality, and observability. Build scalable data infrastructure, establish engineering standards and guardrails, support AI and customer-facing data features, and collaborate with engineering, product, and business stakeholders. Over time, expand contributions to backend services, infrastructure, and agentic systems while distributing data ownership across engineering.
Top Skills: BigQueryClaude CodeCursorDbtHevoMetabaseMongoDBObservablePosthogSQL
One Month AgoSaved
In-Office
2 Locations
142K-199K Annually
Senior level
142K-199K Annually
Senior level
Digital Media • Gaming • News + Entertainment • Sports
Designs and scales streaming and batch data pipelines supporting AI applications and advertising technology. Builds embedding workflows, vector-store integrations, retrieval systems, AI-ready data models, and reusable ingestion components. Ensures observability, data quality, schema governance, reliability, recoverability, and auditability. Partners with AI, infrastructure, product, and governance teams to deliver production-ready systems, leads technical execution, mentors junior engineers, and influences architecture.
Top Skills: AirflowAws GlueAws MwaaAws S3DagsterDatabricksDatadogFaissFlinkJavaKafkaKinesisLangchainLanggraphPgvectorPineconePrometheusPythonSparkSQLWeaviate
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