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

Clera

Robot Learning Engineer

San Francisco, CA · On-site

This is an entry-level / new-grad research role where you'll apply state-of-the-art machine ... Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors ...

Clera

Robot Learning Engineer

San Francisco, CA · On-site

This is an entry-level / new-grad research role where you'll apply state-of-the-art machine ... Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors ...

Intertek

Entry Level Environmental Technician

Oakland, CA · On-site

$22 - $25/hr

... 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 ...

Qcells

Associate Project Engineer

San Francisco, CA · 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)

Qcells

Associate Project Engineer

San Francisco, CA

$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)

Abbott

Sr. Quality Systems/CAPA Engineer

Pleasanton, CA · On-site

$90K - $180K/yr

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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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Berkeley, CA

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:
Data Engineer Entry Level jobs near you
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.

Robot Learning Engineer

Clera

San Francisco, CA • On-site

Full-time

Posted 7 days ago

Job description

About the Role
An early-stage industrial robotics startup in Munich is looking for a Robot Learning Engineer to join a small, ambitious team working at the frontier of intelligent automation. This is an entry-level / new-grad research role where you'll apply state-of-the-art machine learning - perception, reinforcement learning, imitation learning, and sim-to-real transfer - directly to a real industrial robotic work cell handling some of the hardest manual tasks in manufacturing: surface finishing, welding, and coating. You'll have the rare opportunity to see your ML work run on physical factory hardware from day one.
What You'll Do
  • Research and evaluate ML models for robot perception and task understanding
  • Apply computer vision and deep learning to multi-modal sensor data (cameras, force/torque sensors, depth)
  • Experiment with reinforcement learning and imitation learning for robot control
  • Integrate AI models into the ROS 2 robotics stack
  • Run rigorous experiments and iterate rapidly on results
  • Bridge the gap between research prototypes and real-world factory deployment
What We're Looking For
Required:
  • Bachelor's or Master's degree in Robotics, Computer Science, AI, or a closely related field
  • 0-3 years of hands-on experience in robotics, computer vision, or AI research
  • Proficiency in Python and at least one deep learning framework (PyTorch or TensorFlow)
  • Experience with ROS 2
  • Experience with computer vision and sensor data processing for robotics applications
  • Practical knowledge of reinforcement learning and/or imitation learning for robot control
  • Ability to collaborate across research and real-world deployment in a robotics context
  • Legal right to work in Germany - visa sponsorship is not available
  • Based in Munich or willing to relocate (role is fully on-site)

Nice to Have:
  • Experience with sim-to-real tools such as Isaac Sim, MuJoCo, or PyBullet
  • Strong fundamentals demonstrated through research publications, a thesis, internships, or open-source contributions in robotics or AI
  • Familiarity with 3D perception, point clouds, or depth estimation
Compensation & Benefits
  • Equity participation offered
  • Cash compensation to be discussed directly - competitive for an early-stage startup
Location
On-site in Munich, Germany. Relocation expected. No remote or hybrid arrangements available for this role.

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