2

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

Big Data Admin (Mandatory) * Linux Admin * As a Lead, you are responsible for managing a small team ... You may serve as entry level specialist with expertise in particular technology/industry domain/a ...

Junior Quality Engineer

Fremont, CA · On-site

$75K - $90K/yr

This is an exceptional entry-level career pathway designed for an early-career professional looking ... You will support product inspections, analyze technical data, manage ERP/Epicor specifications, and ...

... data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR ... Position Overview QinetiQ Inc. is looking to hire an entry-level Quality Assurance Engineer to work ...

New

Showing results 21-40

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 Aug 8, 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.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% 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.

Associate Metallurgical Engineer

Mariana Minerals

San Francisco, CA • On-site

$85K - $95K/yr

Full-time

Posted 7 days ago


Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Role Overview
Mariana Minerals is seeking a highly motivated Associate Metallurgical Engineer to support process development activities and pilot-scale testing for our CopperOne mine pilot facility in San Francisco. You will work alongside experienced engineers and technicians supporting our bioleaching columns and other pilot-scale equipment used to develop new mining technologies. This is a hands-on, entry-level role where you will help transition technologies from laboratory research to pilot testing and ultimately commercial mining. You will work closely with R&D, technicians, metallurgists, and cross-functional teams to learn, contribute, and help improve our processes.
What You'll Do
  • Operate, troubleshoot, and improve leaching columns and other pilot-scale processing equipment in collaboration with technicians
  • Design and execute pilot-scale experiments with guidance from senior engineers
  • Develop and maintain key process documentation including PFDs, P&IDs, operating procedures, and mass balances
  • Analyze experimental and operational data to help identify opportunities for process improvement
  • Support development of automated monitoring and optimization tools in collaboration with software and machine learning teams
  • Support safe operations by following EHS procedures and assisting with hazard assessments, risk management, and management of change processes

What You'll Bring
  • B.S. or M.S. in Chemical Engineering, Mining Engineering, Metallurgy, or a related field
  • 0-2 years of relevant experience through internships, research, co-ops, or full-time work
  • Strong problem-solving skills and an interest in experimental process development
  • Experience analyzing data using Excel, Python, MATLAB, or similar tools is a plus
  • Strong commitment to Health, Safety, and Environmental compliance
  • Excellent technical writing, communication, and teamwork skills
  • Comfortable working in a fast-paced environment, learning new skills, and collaborating across teams

Our culture is built on three principles:
Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.