Data Engineer Jobs in Santa Ana, CA

11 Days AgoSaved
Remote or Hybrid
67 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.
Top Skills: Apache AirflowApache HadoopAWSAzure Data FactoryDagsData LakeData WarehouseDatabricksDimensional ModelingAzure
11 Days AgoSaved
Remote or Hybrid
65 Locations
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.
Top Skills: Amazon Web Services (Aws)Azure Data FactoryDatabricksSnowflake
Reposted 21 Days AgoSaved
Remote or Hybrid
67 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.
Top Skills: AWSAws GlueAws LambdaAzureAzure Data FactoryAzure FunctionsDataflowGCPGcp DataprocGcp Functions
Reposted 21 Days AgoSaved
Remote or Hybrid
65 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.
Top Skills: AWSAzureDatabricksGCPSnowflake
Reposted 21 Days AgoSaved
Remote or Hybrid
65 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.
Top Skills: AWSAws CloudformationAws GlueAws LambdaAzureAzure Data FactoryAzure FunctionsAzure Resource ManagerDatabricksGCPGcp FunctionsHadoopJavaKafkaPythonScalaSnowflakeSparkSQLTerraform
9 Days AgoSaved
In-Office
3 Locations
110K-140K Annually
Mid level
110K-140K Annually
Mid level
Artificial Intelligence • Cloud • Consulting • Cybersecurity
Design, build, and scale resilient data pipelines and infrastructure on AWS. Own the data ecosystem using Databricks or Snowflake, write production-quality Python and SQL code, collaborate with cross-functional teams, and prepare data for analysis and product use in a fast-moving startup environment.
Top Skills: AWSDatabricksPythonSnowflakeSQL
Reposted 16 Days AgoSaved
Remote or Hybrid
64 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.
Top Skills: AWSAzureDatabricksGCPKerasNoSQLPandasPythonScikit-LearnSQLTransformers
Reposted 24 Days AgoSaved
In-Office or Remote
Santa Ana, CA, USA
88K-111K Annually
Senior level
88K-111K Annually
Senior level
Insurance • Real Estate
Responsible for assessing and improving data quality. Collaborates with developers to implement data logic, conducts quality reviews, and communicates issues to resolve data quality problems. Provides support to ETL teams and manages customer requirements throughout the project lifecycle.
Top Skills: ETLExcelMicrosoft WordPowerPointSQL
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