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Data Engineer Jobs in Glendale, CA

Reposted 20 Days AgoSaved
In-Office
Los Angeles, CA, USA
120K-200K Annually
Mid level
120K-200K Annually
Mid level
Aerospace • Hardware • Software • Defense • Manufacturing
As a Software Engineer on the data platform team, you will develop and manage applications for data aggregation, storage, and pipeline building while collaborating with cross-functional teams to implement solutions for automated manufacturing.
Top Skills: Argo-WorkflowsAuroraAvroDagsterGoGrpcHelmKafkaKubernetesPythonRdsS3SupersetTerraform
Reposted 21 Days AgoSaved
In-Office
Los Angeles, CA, USA
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence • Healthtech
The BI Lead will architect and build a centralized data lake, implement ingestion frameworks, and develop advanced attribution models, while ensuring analytics excellence across the company.
Top Skills: BigQueryCeleryDelta LakeFastapiPythonRedshiftSnowflakeSQL
Reposted 22 Days AgoSaved
In-Office
El Segundo, CA, USA
200K-250K Annually
Senior level
200K-250K Annually
Senior level
Information Technology • Software • Automation
Design and build a scalable data infrastructure for real-time telemetry, focusing on backend and distributed systems while collaborating on architecture and processes.
Top Skills: Apache ArrowApache FlinkArgocdAWSDockerDruidGoGrafanaGrpcKafkaKubernetesLinuxParquetPinotPostgresPrometheusProtobufPythonReactRustTerraformTimescaledbTypescript
Reposted 23 Days AgoSaved
In-Office
23 Locations
126K-196K Annually
Mid level
126K-196K Annually
Mid level
Digital Media
The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.
Top Skills: AirflowAWSDatabricksHttp ApisPythonRubyScalaSparkTerraform
4 Months AgoSaved
Easy Apply
Hybrid
Los Angeles, CA, USA
Easy Apply
200K-250K Annually
Senior level
200K-250K Annually
Senior level
Events • Mobile
Design and build systems and pipelines for data centralization, improve data quality, mentor junior engineers, and influence infrastructure choices.
Top Skills: AirflowBigQueryRedshiftSnowflakeSparkSQL
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