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Jr Data Engineer Jobs in California (NOW HIRING)

California Temp Services, Inc

$26/hr

Use ERP/MRP systems (e.g., Epicor) to update data, track materials, and assist in identifying ... Work with Engineering to help track and implement Engineering Change Orders (ECOs) related to ...

Kaihonua

Jr Program Management Analyst

San Diego, CA

$70K - $76K/yr

Help reconcile financial data and identify variances for review by senior staff * Collect, organize ... Facilitate communication across functional groups (engineering, logistics, contracts, finance)

Kaihonua

Jr Program Management Analyst

San Diego, CA · On-site

$70K - $76K/yr

Help reconcile financial data and identify variances for review by senior staff * Collect, organize ... Facilitate communication across functional groups (engineering, logistics, contracts, finance)

Jobsbridge

Jr.JavaScript Engineer

Los Angeles, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. BS/BA or equivalent with 4+ years professional application/frontend ...

Kaihonua

Jr Program Management Analyst

San Diego, CA · On-site

Help reconcile financial data and identify variances for review by senior staff * Collect, organize ... Facilitate communication across functional groups (engineering, logistics, contracts, finance)

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All JobsJr Data Engineer JobsJr Data Engineer Jobs in California

Jr Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do jr data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for jr data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Jr Data Engineer, and why are they important?

To thrive as a Jr Data Engineer, you need a solid understanding of database concepts, SQL, and programming languages like Python or Java, usually supported by a relevant degree or coursework. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Strong problem-solving, attention to detail, and effective communication are important soft skills for collaborating with teams and handling data issues. These combined skills ensure efficient data pipeline development, accurate data handling, and smooth integration of data solutions within an organization.

What is the difference between Jr Data Engineer vs Data Analyst?

AspectJr Data EngineerData Analyst
Required SkillsBasic SQL, Python, ETL processes, data pipeline developmentData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting tools, dashboards
CertificationsEntry-level data engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

The Jr Data Engineer typically focuses on building and maintaining data pipelines and infrastructure, requiring skills in SQL, Python, and ETL processes. In contrast, a Data Analyst concentrates on interpreting data, creating reports, and visualizations. Both roles often work within similar industries and environments but serve different functions in data management and analysis.

What does a Jr Data Engineer do?

A Jr Data Engineer is responsible for supporting the design, development, and maintenance of data pipelines and systems. They work with senior data engineers to collect, clean, and organize data from various sources, ensuring that the data is reliable and accessible for analysis. Junior data engineers may also assist in troubleshooting data issues, optimizing data flows, and learning best practices in data engineering. Their role provides foundational experience in data management, database technologies, and programming.

What types of projects and tasks can a Jr Data Engineer expect to work on during their first year?

As a Jr Data Engineer, you can expect to be involved in projects such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. You'll likely collaborate closely with data analysts, senior engineers, and business stakeholders to ensure data is accessible and reliable for analysis. During your first year, you'll gain experience with ETL tools, cloud data platforms, and scripting languages, while learning best practices in data architecture and quality assurance. This hands-on involvement lays a strong foundation for future growth into more advanced engineering or analytics roles.
What are popular job titles related to Jr Data Engineer jobs in California? For Jr Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Jr Data Engineer jobs in California look for? The top searched job categories for Jr Data Engineer jobs in California are:
What cities in California are hiring for Jr Data Engineer jobs? Cities in California with the most Jr Data Engineer job openings:
Jr Data Engineer jobs near you
Infographic showing various Jr Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Principal Engineer, Data Center Architect

Principal Engineer, Data Center Architect

DigitalOcean

San Francisco, CA • Remote

$184K - $231K/yr

Other

Posted 8 days ago

Job description

Drive the future of our physical infrastructure footprint, from Air Cooling through to 800VDC Liquid Rack Scale systems.

This role is a Principal Datacenter Architect on our Design team, this role owns the forward looking Data Center architecture. Keeping a focus on where the industry is going, from Air to Liquid to 800VDC rack scale systems. Working with peers on the Design team who own the architectures for the Server, Network and Storage services.

What You'll Be Doing:
  • Defining and owning DigitalOcean's reference architectures for next-generation Data Center environments, navigating shifts in technology, networking topologies, and AI/ML hardware roadmaps to keep facility designs future-proofed.
  • Serving as DigitalOcean's primary technical stakeholder for Mechanical, Electrical, and Plumbing (MEP) systems across both leased colocation and build-to-suit environments, partnering with SMEs in the DC Ops organization.
  • Provide leadership and guidance as a primary stakeholder in the new site selection process.
  • Architecting end-to-end cooling designs with vendors and partner teams to support a wide variety of CPU, GPU, and other emerging server hardware.
  • Architecting end-to-end power topologies with vendor teams to support diverse hardware across medium to ultra-high-density rack deployments, moving from 415VAC to 800VDC.
  • Leading proof-of-concept (PoC) initiatives for emerging infrastructure technologies and transitioning successful pilots into global deployment standards.
  • Guiding leadership through the implications of non-traditional data center facilities and emerging technologies such as behind-the-meter (BTM) power, to modular DC designs. Working with internal teams to weigh the business, commercial, and operational risks and tradeoffs.
  • Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
  • Represent DigitalOcean in the broader community attending conferences, contributing to papers and presentations.
What We'll Expect From You:
  • 10+ years of experience in data center architecture, infrastructure engineering, or a related field, with a track record of owning designs at scale.
  • Deep expertise in MEP (Mechanical, Electrical, and Plumbing) systems for both leased colocation and build-to-suit data center environments.
  • Strong working knowledge of cooling technologies across the spectrum-from air cooling to direct liquid cooling and rack-scale liquid systems-for high-density CPU and GPU deployments.
  • Familiarity with AI/ML hardware roadmaps and the ability to translate evolving server, networking, and accelerator trends into future-proofed facility designs.
  • Knowledge of emerging and non-traditional infrastructure approaches such as behind-the-meter (BTM) power and modular/prefabricated data center designs.
  • Demonstrated ability to lead proof-of-concept initiatives and scale successful pilots into global deployment standards.
  • Strong cross-functional collaboration skills, partnering with technical and business teams along with external vendors and partners.
  • Excellent communication and leadership skills, including mentoring engineers and representing the company externally at conferences and through technical papers.
Compensation Range: 
  • $184,000 - $231,000

*This is a remote role

JR: 2026-7832

#LI-Remote

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