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Data Engineer Entry Level Jobs in Berkeley, CA (NOW HIRING)

About the Team & Role We are looking for a highly motivated and high-potential entry-level Site ... data. As we scale and modernize, ensuring reliability, performance, and efficiency across our ...

About the Team & Role We are looking for a highly motivated and high-potential entry-level Site ... data. As we scale and modernize, ensuring reliability, performance, and efficiency across our ...

... engineering and construction disciplines, developing the most innovative product and project ... Coordinate Project Data / Records / Reports related to the work assignments * Participate in all QA ...

... engineering and construction disciplines, developing the most innovative product and project ... Coordinate Project Data / Records / Reports related to the work assignments * Participate in all QA ...

Associate Project Engineer

San Francisco, CA ยท On-site

$80K - $90K/yr

... data, and costs. * Work with the origination and development team to contribute to engineering ... Experience in solar or ESS project engineering (internships or entry-level positions are acceptable)

... data, and costs. * Work with the origination and development team to contribute to engineering ... Experience in solar or ESS project engineering (internships or entry-level positions are acceptable)

Complete trend analysis of data as appropriate to ensure proper actions can be determined or ... Lead, coach, and mentor non-exempt and entry level exempt personnel on quality principles and ...

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Showing results 1-20

Data Engineer Entry Level information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do data engineer entry level jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data engineer entry level in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Berkeley, CA? The most popular types of Data Engineer jobs in Berkeley, CA are:
What are popular job titles related to Data Engineer Entry Level jobs in Berkeley, CA? For Data Engineer Entry Level jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Berkeley, CA look for? The top searched job categories for Data Engineer Entry Level jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Data Engineer Entry Level jobs? Cities near Berkeley, CA with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Berkeley, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,830 per year, or $76.4 per hour.
Business Analyst-Entry Level

Business Analyst-Entry Level

Apex Informatics

San Francisco, CA โ€ข On-site

Other

Re-posted 20 hours ago


Job description

Responsibilities:
  • Check reporting results and flag potential issues: Review reports for accuracy and identify any anomalies or discrepancies.
  • Create dashboards, spreadsheet analysis, and presentations: Support regional analysts by preparing visual data representations and reports.
  • Troubleshoot data issues: Validate data from various sources to ensure consistency and reliability.
  • Analyze business performance trends: Identify patterns and trends in business data to uncover growth opportunities.

Minimum Qualifications:
  • Education: BA/BS degree in accounting, finance, economics, industrial engineering, statistics, or math.
  • Experience: At least 1 year of work experience in tech, finance, or accounting.
  • Technical Skills:
    • Strong knowledge of SQL: Ability to write and execute SQL queries for data analysis.
    • Fluency in MS Excel: Proficiency in Excel for data manipulation, analysis, and reporting.
    • Experience with statistical programming: Familiarity with R, Python, or similar languages for data analysis and visualization.