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Data Engineer Entry Level Jobs in Santa Barbara, CA

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

Data Engineer Entry Level information

See Santa Barbara, CA salary details

$49.5K

$144.3K

$197.5K

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

As of Aug 26, 2026, the average yearly pay for data engineer entry level in Santa Barbara, CA is $144,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $153,000.00 per year, depending on experience, location, and employer.

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 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 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 Santa Barbara, CA?

The most popular types of Data Engineer jobs in Santa Barbara, CA are:

What are popular job titles related to Data Engineer Entry Level jobs in Santa Barbara, CA?

For Data Engineer Entry Level jobs in Santa Barbara, CA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Santa Barbara, CA look for?

The top searched job categories for Data Engineer Entry Level jobs in Santa Barbara, CA are:

What cities near Santa Barbara, CA are hiring for Data Engineer Entry Level jobs?

Cities near Santa Barbara, CA with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $144,333 per year, or $69.4 per hour.

Development Engineer I

Goleta, CA • On-site

Waters Corporation
51 - 200 employees

Other

Posted 15 days ago


Job description

Overview
Join a dynamic R&D team focused on developing the next generation of analytical instruments for the characterization of macromolecules, nanoparticles, and complex biological systems. As a Development Engineer I - Evaluation, you will support the testing, verification, and validation of new instrument platforms and technologies, with a primary focus on light scattering and chromatography-based analytical systems.
This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers, scientists, and cross-functional teams, you will help ensure new products meet performance, reliability, and quality requirements before release.
Responsibilities
  • Execute verification and validation testing for new instrument platforms, subsystems, and software features.
  • Perform laboratory experiments to characterize system performance, reliability, robustness, and usability.
  • Set up, operate, and troubleshoot scientific instrumentation, including HPLC/LC systems and light scattering instruments.
  • Collect, analyze, and document experimental data using statistical and graphical analysis methods.
  • Prepare clear and concise test reports summarizing results, observations, deviations, and recommendations.
  • Assist in developing test protocols, validation procedures, and acceptance criteria.
  • Support prototype assembly, integration, and evaluation activities.
  • Investigate and reproduce reported issues to assist engineering teams in root cause analysis and corrective actions.
  • Maintain laboratory equipment, test fixtures, and test records in accordance with quality procedures.
  • Collaborate with engineering, applications, manufacturing, and quality teams to ensure successful product development and transfer.

Qualifications
Required
  • Bachelor's degree in Physics, Chemistry, Biochemistry, Materials Science, Engineering, or another scientific discipline with 1-2 years of experience
  • Strong analytical and problem-solving skills.
  • Ability to accurately document experimental procedures and results.
  • Familiarity with scientific data analysis using Excel or similar tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in a collaborative team environment.
Preferred
  • Experience working with scientific instruments in a laboratory environment.
  • Familiarity with liquid chromatography (LC/HPLC) systems and workflows.
  • Exposure to light scattering instrumentation or related analytical techniques.
  • Experience collecting, analyzing, and interpreting experimental data.
  • Experience with software tools such as Excel, Origin, MATLAB, Python, JMP, or similar analytical platforms.
  • Understanding of laboratory best practices, calibration, and measurement fundamentals.

Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.