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Part Time Data Engineering Jobs in California (NOW HIRING)

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

Must have interest in engineering design, analysis, and data management processes. * Experience ... No contractors or part-time applications will be accepted. * Excellent verbal and written ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Telework Type: Part-Time Telework * Work Location: Brisbane, QLD Extraordinary teams building ... Job Summary: The Regional Engineering Automation Lead role is core of Bechtel's data-centric ...

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Showing results 1-20

Part Time Data Engineering information

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What are the key skills and qualifications needed to thrive as a part time data engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in California?

The most popular types of Data Engineering jobs in California are:

What are popular job titles related to Part Time Data Engineering jobs in California?

For Part Time Data Engineering jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Part Time Data Engineering jobs?

Cities in California with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Title Software Development Engineer IV - Algorithms and Scientific Data

Santa Barbara, CA • On-site, Remote

Bruker
Biotechnology Research and Development • 5 - 10K employees

Full-time, Part-time

Medical, Dental, Life, Retirement, PTO

Re-posted 22 days ago


Key responsibilities

  • Design, implement, validate, optimize, and deploy algorithms that turn AFM, image, sensor, and metrology data into robust measurements and insights.

  • Develop production algorithm and application software using modern C++/STL, C#, .NET, WPF, and Python where appropriate.

  • Apply signal processing, image processing, numerical methods, statistical analysis, pattern recognition, and machine learning to challenging real-world measurement problems.


Bruker rating

7.4

Company rating: 7.4 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Software Development Engineer IV - Algorithms and Scientific Data
Job Locations US-CA-Santa Barbara | US-Remote
Posted Date 2 months ago(7/21/2026 4:20 PM)
Req. # 2026-19658
Job Location : Location US-CA-Santa Barbara
Job Location : Postal Code 93117
Job Location : Address 112 Robin Hill Road
Additional Job Locations US-Remote
Type Employee
Full Time/Part Time Full Time
Overview

Bruker is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker's high-performance scientific instruments and high-value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity and customer success in life science molecular research, in applied and pharma applications, in microscopy and nanoanalysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology.


Today, worldwide more than 11,000 employees are working on this permanent challenge at over 90 locations on all continents. Bruker continues to build upon its extensive range of products and solutions, its broad base of installed systems and a strong reputation among its customers. Being one of the world's leading analytical instrumentation companies, Bruker is strongly committed to further fully meeting its customers' needs as well as continuing to develop state-of-the-art technologies and innovative solutions for today's analytical questions.

The Bruker NANO group is seeking a Staff SW Engineer for Windows Instrumentation and Automation. The Senior Software Engineer will provide programming design and development for Bruker's world leading nano-scale Atomic Force Microscope (AFM) product lines. You will work with other software developers, engineers, and scientists supporting and advancing the state-of-the art nanoscale systems technology by developing software from application design to hardware control. This position requires initiative, innovation, and responsibility working within a cooperative team environment to support existing and realize new customer products.

Location and Work Model

Santa Barbara, California, or fully remote. Remote employees must be able to collaborate effectively with a Santa Barbara-based team with no more than a three-hour time difference. Remote employees may be asked to travel to Santa Barbara up to two times per year.

Position Summary

Join the team building software for the world's most capable automated atomic force microscopes used in leading semiconductor fabs. Our systems generate rich scientific data at nanometer scales, and our software transforms that data into accurate, actionable measurements while coordinating sophisticated precision hardware.

We are seeking a hands-on Staff Software Engineer to lead the design, implementation, validation, and productization of algorithms for scientific data analysis. The role emphasizes signal and image processing, numerical analysis, and applied machine learning while remaining grounded in production Windows software, modern C++, C#/.NET/WPF, and instrument integration. You will own important technical decisions, guide cross-functional problem solving, and write production code that ships with our instruments.

This is a scientific algorithms, Windows desktop, and instrumentation software position. It is not a web, mobile, data-platform, or cloud application development role. Candidates whose experience is primarily web application development or cloud data engineering will not meet the core requirements.

Agentic software development is part of how our team engineers software, not an occasional productivity aid. We use GitHub Copilot Business with leading AI models throughout algorithm exploration, design, implementation, testing, debugging, refactoring, and review. The successful candidate will bring meaningful production experience with AI coding agents and will be expected to use and advance these workflows responsibly.

Responsibilities

- Design, implement, validate, optimize, and deploy algorithms that turn AFM, image, sensor, and metrology data into robust measurements and insights.
- Develop production algorithm and application software using modern C++/STL, C#, .NET, WPF, and Python where appropriate.
- Apply signal processing, image processing, numerical methods, statistical analysis, pattern recognition, and machine learning to challenging real-world measurement problems.
- Translate research concepts and prototypes into maintainable, testable, high-performance product software with clear requirements and measurable performance.
- Build validation strategies using representative datasets, quantitative metrics, uncertainty analysis, and regression tests; clearly communicate algorithm limits and tradeoffs.
- Integrate algorithms into multithreaded Windows applications and instrument workflows spanning data acquisition, hardware control, processing, persistence, visualization, and automation.
- Own architecture for new analysis capabilities and guide their integration into a mature product codebase through sound interfaces, layering, refactoring, and incremental delivery.
- Lead technical investigations and collaborate with applications scientists, systems, hardware, test, and software engineers throughout the product development cycle.
- Remain deeply hands-on while providing technical direction and raising algorithm and software engineering quality across a small cross-functional team.
- Use VS Code and AI coding agents as core engineering tools across the software development lifecycle while applying rigorous technical and scientific judgment to all generated work.

Qualifications

- 5+ years of professional experience developing production software, scientific algorithms, or data-analysis systems.
- 3+ years of hands-on Windows application development using both C#/.NET/WPF and modern C++/STL.
- Strong foundation in at least two of the following: signal processing, image processing, numerical methods, statistical analysis, pattern recognition, computer vision, or machine learning.
- Demonstrated ability to implement algorithms in C++, C#, or Python and to move them from exploration into tested, maintainable production software.
- Experience defining quantitative validation methods and evaluating algorithm accuracy, robustness, performance, and failure modes using real-world data.
- Strong object-oriented design, API design, debugging, data-structure, and performance-optimization skills.
- Experience with multithreaded or asynchronous software and computationally intensive data processing.
- Demonstrated architecture ownership and technical leadership across algorithm, application, or product boundaries.
- Meaningful, regular use of GitHub Copilot or comparable AI coding agents on production software. Candidates should be prepared to discuss specific examples spanning multiple development activities and how they ensure technical correctness and maintainability.
- Ability to collaborate clearly with engineers and scientists, communicate complex technical ideas and risks, and lead technical work without direct authority.

Education

- MS or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, Physics, Mechanical Engineering, or a related technical field is strongly preferred.
- A BS in a related field combined with significant relevant industry, instrumentation, algorithm-development, or research experience will be considered.

Preferred Qualifications

- Experience with scientific instrumentation, semiconductor metrology, atomic force microscopy, optical spectroscopy, robotics, machine vision, motion control, nano-positioning, or automated test equipment.
- Experience developing algorithms for noisy sensor data, microscopy images, surface measurements, anomaly detection, feature extraction, classification, segmentation, reconstruction, or calibration.
- Experience applying machine learning to physical measurements and working with limited, imbalanced, or imperfectly labeled scientific datasets.
- Knowledge of control systems, estimation, system identification, experimental design, or measurement uncertainty.
- Experience with C++/CLI, managed/native interoperability, MFC, or integrating Python-based research code with production C++ or .NET applications.
- Experience using architectural layering across hardware interfaces, acquisition, analysis, persistence, and desktop presentation layers.
- Experience with Scrum or another Agile development approach and a record of improving practical engineering processes.
- Experience making effective use of both VS Code and Visual Studio in a Windows development environment.

Physical and Environmental Requirements

- When working onsite, ability to lift and move equipment weighing up to 30 pounds, with or without reasonable accommodation.
- Ability and willingness to work periodically in a Class 1000 cleanroom using full gowning protocol and laboratory-appropriate attire. These requirements also apply to remote employees during onsite visits.

At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $107,100 and $190,000 and provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on a several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.

Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.


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