ZipRecruiter

Log In

1

Data Engineer Project Jobs in Santa Rosa, CA (NOW HIRING)

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

... high-impact projects, awards, hackathons, publications, startup experience, open-source ... The ideal candidate will be comfortable working at the intersection of AI, software engineering ...

Spice AI

Forward Deployed Engineer (Rust)

Bodega Bay, CA

$135K - $163K/yr

Building data-driven AI applications and agents is too complex, even for advanced developers. This ... Contributions to open-source projects preferred. * Experience with Apache infrastructure, CNCF ...

Spice AI

Forward Deployed Engineer (Rust)

Bodega Bay, CA · On-site

$135K - $163K/yr

Building data-driven AI applications and agents is too complex, even for advanced developers. This ... Contributions to open-source projects preferred. * Experience with Apache infrastructure, CNCF ...

Diamond Foundry

Software & Systems Engineer

Bodega Bay, CA · On-site

$90K - $140K/yr

... projects. Your goal will be to achieve maximum productivity for our production line through improving data collection methods, programming devices, automating workflows, and communicating with ...

Diamond Foundry

Software & Systems Engineer

Bodega Bay, CA · On-site

$90K - $140K/yr

... projects. Your goal will be to achieve maximum productivity for our production line through improving data collection methods, programming devices, automating workflows, and communicating with ...

Diamond Foundry

Senior Software Engineer

Bodega Bay, CA

$150K - $175K/yr

You will work with a team of veteran material scientists and mechanical, electrical, metrology, and data engineers, supporting and leading various development projects. Our goal will be to achieve ...

Diamond Foundry

Senior Software Engineer

Bodega Bay, CA · On-site

$150K - $175K/yr

You will work with a team of veteran material scientists and mechanical, electrical, metrology, and data engineers, supporting and leading various development projects. Our goal will be to achieve ...

previous page

Showing results 41-60

All JobsData Engineer Project JobsData Engineer Project Jobs in Santa Rosa, CA

Data Engineer Project information

See Santa Rosa, CA salary details

$50.3K

$180.4K

$266.2K

How much do data engineer project jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer project in Santa Rosa, CA is $180,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,000.00 and $185,900.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

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

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What cities near Santa Rosa, CA are hiring for Data Engineer Project jobs?

Cities near Santa Rosa, CA with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $180,419 per year, or $86.7 per hour.

AI Data Scientist-Furman lab

Buck Institute for Research on Aging

Novato, CA • On-site

$60K - $75K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging, computational biology, multi-omics, and translational data science.
This position is ideal for a creative, technically outstanding individual with a Master's degree or equivalent experience who has demonstrated excellence through high-impact projects, awards, hackathons, publications, startup experience, open-source contributions, or other evidence of exceptional technical ability. We are especially interested in candidates who are deeply fluent in the use of large language models, agentic AI systems, modern software engineering practices, and scalable approaches for harmonizing and modeling large, complex datasets.
The successful candidate will contribute to multiple government-funded and institutional research initiatives, including a recently launched, government-funded project focused on using large-scale human data to better understand biological aging, resilience, healthspan, and age-related disease risk. This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions, platforms, and data types.
We are looking for someone who is not only technically strong, but also inventive, entrepreneurial, and capable of rapidly building solutions. The ideal candidate will be comfortable working at the intersection of AI, software engineering, data science, and biomedical research, and will bring the creativity needed to design new approaches for managing and modeling complex scientific data.
Key Responsibilities
1. Develop AI-enabled systems for large-scale data harmonization and modeling
The candidate will help design, build, and implement computational systems that support the organization, harmonization, modeling, and interpretation of large biomedical datasets. Responsibilities may include:
  • Developing agentic AI workflows to support data curation, quality control, documentation, and analysis
  • Designing LLM-powered tools to help harmonize large datasets across cohorts, studies, institutions, and assay platforms
  • Building pipelines to extract, standardize, and validate metadata and data dictionaries
  • Creating systems to support multi-modal data integration across omics, clinical, demographic, imaging, and functional datasets
  • Developing scalable approaches for identifying patterns, inconsistencies, and missing information across large datasets
  • Supporting model development for prediction, classification, clustering, and biological interpretation
  • Prototyping AI tools that improve research productivity, reproducibility, and scientific discovery
2. Apply LLMs, agentic AI, and modern machine learning approaches to biomedical research
Responsibilities may include:
  • Building workflows using large language models, retrieval-augmented generation, vector databases, tool-calling agents, and automated reasoning systems
  • Designing AI agents capable of interacting with structured and unstructured scientific data
  • Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation
  • Evaluating the performance, limitations, and reliability of AI-enabled tools in biomedical research contexts
  • Supporting responsible, reproducible, and well-documented use of AI in federally funded research
  • Collaborating with bioinformaticians and domain experts to translate research needs into functional computational tools
3. Support large-scale data science and computational biology projects
The candidate may contribute to analyses involving:
  • Transcriptomics, including single-cell and bulk RNA-seq
  • Proteomics
  • Metabolomics
  • Epigenetics and biological aging clocks
  • Clinical and phenotypic datasets
  • Survey data
  • Integrative multi-omics
  • Dimensionality reduction and clustering
  • Classification methods and predictive modeling
  • Drug repurposing
  • Network analysis and pathway enrichment
  • Computer vision and feature extraction, as applicable
4. Collaborate across interdisciplinary teams
The candidate will work closely with computational biologists, data scientists, principal investigators, research staff, software engineers, and external collaborators. Responsibilities may include:
  • Translating scientific goals into computational tools and workflows
  • Participating in project meetings and presenting technical progress
  • Creating clear documentation, diagrams, and technical specifications
  • Supporting manuscript preparation, grant writing, figure generation, and reporting
  • Working with diverse teams to improve data transfer, management, and analysis systems
  • Helping establish best practices for AI-assisted data science in biomedical research

Qualifications
Required Education and Experience
  • Master's degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial, or technical experience will also be considered
  • Demonstrated experience building AI, data science, machine learning, or software engineering systems
  • Strong proficiency in Python
  • Experience using large language models, AI APIs, or LLM-based developer tools
  • Experience with modern software engineering practices, version control, testing, documentation, and collaborative development
  • Ability to work independently, rapidly prototype solutions, and solve ambiguous technical problems
Required Skills
  • Strong practical experience with large language models and AI-assisted workflows
  • Interest or experience in agentic AI, tool-calling agents, retrieval-augmented generation, vector search, or automated workflow orchestration
  • Strong analytical and problem-solving skills
  • Ability to design systems for organizing, harmonizing, and modeling large datasets
  • Comfort working with structured and unstructured data
  • Excellent written and oral communication skills
  • Strong attention to detail and commitment to reproducibility
  • Ability to collaborate with both technical and non-technical team members
  • High degree of creativity, initiative, and intellectual curiosity
Preferred Qualifications
  • Evidence of exceptional technical achievement, such as hackathon wins, awards, competitive programming, startup experience, open-source contributions, publications, deployed products, or other high-impact projects
  • Experience with biomedical, healthcare, clinical, or omics data
  • Experience with APIs, cloud platforms, Docker, databases, or scalable data systems
  • Experience with vector databases, embeddings, RAG systems, or AI agent frameworks
  • Experience with Python-based data science libraries and machine learning frameworks
  • Familiarity with data harmonization, metadata standards, ontologies, or research data repositories
  • Experience working in fast-paced startup, academic, or highly collaborative environments

Compensation and Benefits
  • Salary range: $60,000-$75,000, commensurate with experience
  • Full-time position
  • Exciting, collaborative work environment at the forefront of aging research, AI, and computational biology
  • Opportunity to help build AI-enabled systems for large-scale biomedical discovery
  • Generous benefits package, including:
    • Health insurance
    • Paid parental leave
    • Generous paid time off
    • 401(k) with 5% employer match
  • Work visa sponsorship may be available for qualified candidates

About the Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging - the number one risk factor for diseases including Alzheimer's disease, Parkinson's disease, cancer, macular degeneration, heart disease, and diabetes - the Buck seeks to help people live better longer.
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application.
Please upload:
  1. Resume or CV
  2. A brief statement describing your technical interests, relevant AI/data science experience, and examples of systems, tools, or projects you have built
  3. Names and contact information for three references, if available

Apply