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Intern Databricks Data Engineer Jobs in Oceanside, CA

GCR Professional Services

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

... Databricks, Apache Spark, Kubernetes, and data lake architectures. • Solid understanding of data modeling, metadata management, data lineage, data quality, governance, security and access control ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ...

Qualcomm

Data Engineer, Senior Staff

San Diego, CA · On-site

$121K - $146K/yr

We are seeking a Senior Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation. In this role, you will focus on building ...

SteerBridge

Data Engineer

San Diego, CA · On-site

$105K - $125K/yr

Use Azure Databricks (Spark) and Azure Data Factory to manage and schedule data pipelines and ... Master's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent ...

SteerBridge

Data Engineer

San Diego, CA

$129K - $156K/yr

Use Azure Databricks (Spark) and Azure Data Factory to manage and schedule data pipelines and ... Master's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent ...

CoStar

Senior Data Engineer

San Diego, CA · On-site

$124K - $190K/yr

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of ... Expertise with Databricks / Apache Spark, C# / .NET, and SQL/database design Experience with AI/ML ...

CoStar Group

Senior Data Engineer

San Diego, CA

$124K - $190K/yr

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of ... Build and manage data solutions using Databricks and Spark * Develop backend data services using C# ...

CoStar Group

Senior Data Engineer

San Diego, CA · On-site

$124K - $190K/yr

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of ... Build and manage data solutions using Databricks and Spark * Develop backend data services using C# ...

Pwc

Data Engineer - Senior Associate

San Diego, CA · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qualcomm

Data Platform Engineer, Senior Staff

San Diego, CA · On-site

$112K - $152K/yr

We are hiring a Data Platform Engineer to design, build, and operate a modern, data platform with ... Own Databricks workspace architecture, governance, and lifecycle management * Implement ...

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Showing results 21-40

All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Oceanside, CA

Intern Databricks Data Engineer information

See Oceanside, CA salary details

$13

$26

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How much do intern databricks data engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for intern databricks data engineer in Oceanside, CA is $26.29, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $29.86 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Intern Databricks Data Engineer jobs in Oceanside, CA? For Intern Databricks Data Engineer jobs in Oceanside, CA, the most frequently searched job titles are:
What job categories do people searching Intern Databricks Data Engineer jobs in Oceanside, CA look for? The top searched job categories for Intern Databricks Data Engineer jobs in Oceanside, CA are:
What cities near Oceanside, CA are hiring for Intern Databricks Data Engineer jobs? Cities near Oceanside, CA with the most Intern Databricks Data Engineer job openings:
Intern Databricks Data Engineer jobs near you
Infographic showing various Intern Databricks Data Engineer job openings in Oceanside, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $54,693 per year, or $26.3 per hour.

Data Engineer

GCR Professional Services

San Diego, CA • On-site

$121K - $146K/yr

Other

Posted 12 days ago

Job description

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and organizational priorities. Job Mission Join a pioneering research organization developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system combine high-power lasers, advanced optics, plasma-based EUV generation, sensing, controls, and physics-based modeling to address some of the most complex challenges in semiconductor manufacturing. As Source Research continues to expand its use of data-driven engineering, machine learning, simulation and physics-based modeling, a scalable and well-governed data ecosystem has become essential. High-quality, accessible, and connected data enables faster technology development, deeper system understanding, more effective trade studies, and better-informed technology and roadmap decisions. In this role, you will help shape the data foundation that supports research and development activities across Source Research. Working closely with lab owners and experimental, modeling, and ML scientists, you will build and improve data pipelines, integrate diverse data sources, and enable reliable access to research data at scale. You will also help establish practical architecture standards and best practices that ensure our data platform remains scalable, secure, maintainable, and aligned with the broader data landscape. his role combines hands-on development with technical leadership in shaping the data foundation for Source Research. You will build, operate, and continuously improve data pipelines, integrating new data sources, improving reliability, and enabling scientists and engineers to use high-quality data at scale. You will also define practical architecture standards that keep the platform consistent, secure, future-ready, and aligned with clients data landscape. Work independently and collaboratively to deliver on objectives, whether exploring new data sources, building new capabilities, or characterizing existing system performance. Be willing to work extended hours and second shift as needed. Perform other duties as assigned or required Qualifications • Bachelor’s or Master’s degree in Computer Science, Statistics, Math, Data Science, or a related field. • 10+ years of relevant experience in data engineering, data architecture, or scientific/engineering data platforms. • Strong hands-on development experience in Python and modern data engineering tooling. • Proven experience building and operating scalable big data pipelines, analytics platforms, and data products that support data-intensive scientific and engineering workflows. • Experience with cloud and distributed data platforms such as Azure, Azure Databricks, Apache Spark, Kubernetes, and data lake architectures. • Solid understanding of data modeling, metadata management, data lineage, data quality, governance, security and access control. • Experience supporting scientific or engineering workflows (for example simulation, HPC, instrumentation, or time-series sensor data). • Familiarity with AI/ML workflows and MLOps practices is a plus. • Strong communication and collaboration skills, with the ability to translate technical details into clear and actionable guidance.

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