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

Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Preferred Knowledge & Experience Knowledge of EJB 3.x, ORM/JPA, and Web ...

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Data Engineer Entry Level information

See San Ramon, CA salary details

$49.7K

$145K

$198.4K

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

As of Jul 13, 2026, the average yearly pay for data engineer entry level in San Ramon, CA is $144,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 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 San Ramon, CA? The most popular types of Data Engineer jobs in San Ramon, CA are:
What are popular job titles related to Data Engineer Entry Level jobs in San Ramon, CA? For Data Engineer Entry Level jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in San Ramon, CA look for? The top searched job categories for Data Engineer Entry Level jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Engineer Entry Level jobs? Cities near San Ramon, CA with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in San Ramon, 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 $144,961 per year, or $69.7 per hour.
Software Engineer, Next Gen

Software Engineer, Next Gen

Neuralink

South San Francisco, CA

Other

Re-posted 10 days ago


Job description

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. 

Job Description and Responsibilities:

As a Software Engineer, you will write, test and deploy software that interacts with our neural interfaces and other data acquisition systems to decode and modulate brain activity. We are looking for hands-on engineers who are excited to own the end-to-end engineering of next-generation software systems for the control of neural stimulation, visual prosthesis (Blindsight) and medical imaging data pipelines. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. The job responsibilities will include:

  • Developing, validating, testing, and deploying software systems
  • Writing algorithms to decode and modulate neural activity
  • Designing user experiences centered around neural control of devices
  • Mentoring others in achieving engineering excellence through code review, design review, and technical presentations
  • Presenting results in a collaborative setting
  • Working with neuroengineers and animal training specialists to support research sessions

Required Qualifications:

  • Bachelor's degree in computer science, a related field, or equivalent work experience
  • Fluent in modern high-performance backend languages (Python, Golang, C++, RUST)
  • HW/SW debugging skills with lab equipment
  • A strong understanding of engineering first principles
  • You are mission-driven and goal-oriented in your approach to solving problems
  • You are resourceful, flexible, and adaptable; no task is too big or too small
  • Excellent communication and collaboration skills

Preferred Qualifications:

  • Hands-on experience writing software that interacts with hardware such as robotics, control theory, human-robot interaction, or real-time systems
  • Working knowledge of compiled and system languages, ideally C/C++ or Rust
  • Experience developing software for macOS or iOS, in Objective-C/Swift

About You:

  • You find large challenges exciting and enjoy discovering and defining problems as much as solving them.
  • You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering reliable solutions.
  • You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and neural engineers
  • You are comfortable communicating across teams
  • You feel a sense of urgency to get things done sooner rather than later
  • Resourceful, flexible and adaptable; no task is too big or too small
  • You are comfortable working closely with animals in a research environment