Data Engineer Jobs in Santa Ana, CA

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.

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.

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.

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.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

Develop, maintain, and optimize SSRS reports and Power BI dashboards. Build and tune SQL Server database objects and ETL pipelines with Azure Data Factory. Support and document a centralized data warehouse, Azure Analysis Services models, data quality efforts, and collaborate with business stakeholders to deliver timely, accurate analytics and reporting solutions.

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.

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.

Represent Operations in huddles and sprints, simplify and automate processes, design target solutions and roadmaps, implement automation using Python/OCR/AI, track work in JIRA, and coordinate small-to-medium programs while managing onshore/offshore teams to drive operational improvements.

Design, deploy, and maintain global data platform infrastructure with emphasis on multi-region Databricks orchestration. Lead system architecture, optimize Databricks (Delta, Spark, Unity Catalog), implement IaC with Terraform, build CI/CD pipelines, troubleshoot platform issues, and collaborate with cross-functional teams to meet technical, governance, and performance requirements.

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.