Top Hybrid Data Engineer Jobs in San Diego, CA
As a Senior Associate in the SAP Human Capital practice at PwC, you will work on SAP SuccessFactors data migration and Employee Central implementations. Responsibilities include addressing client needs, leading full life-cycle implementations, and working in functional and technical areas of Employee Central.
BAE Systems is seeking a Top Secret/SCI cleared Database Engineer with 4+ years of experience to work on significant upgrades to an enterprise-wide Imagery Archive and Geospatial Intelligence System. The role involves designing, coding, testing, and deploying new database configurations in a rapid development environment.
Build, orchestrate, and monitor model pipelines, scaling machine learning algorithms, build and enhance ML Engineering platforms, implement ML Ops, write production-ready code, collaborate with client teams, participate in scrum calls, and research latest architecture patterns/technologies.
Featured Jobs
Senior Analytics Engineer responsible for data discovery, data modeling, data engineering, and data governance using Databricks, dbt, and Python. Develops data pipelines, implements data quality checks, and optimizes data pipelines for performance. Creates data visualizations and communicates insights to stakeholders. Requires 5+ years of Data Engineering experience and expertise in Python, Databricks, SQL, and AWS.
Support computer/network systems/applications for an enterprise-level DOD network, involving account management, connectivity troubleshooting, and application support. Respond to end-user inquiries via phone, ticketing system, email, and chat. Initial remote work transitioning to on-site. Required DOD Secret Security Clearance, CompTIA Security + CE, 1-2 years of enterprise-level service desk experience or 3 years of small/medium service desk experience, and Windows 10 experience.
Principal Data Engineer role at Tendo, responsible for data engineering solutions in the healthcare industry. Collaborate with Data Scientists and Product Managers to develop data flows, tools, and solutions for machine learning insights. Strong background in software engineering, data modeling, ETL pipelines, and database design required.
Top hybrid Companies in San Diego, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
