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

IDEX

Data Analyst, Finance

Rohnert Park, CA · On-site +1

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Maintain and prioritize reporting and analytics backlogs leveraging the Agile framework. * Support ...

Avispa Technology

Manufacturing Engineer

Santa Rosa, CA · On-site

$80/hr

... and data analytics. Systems Engineer Responsibilities: * Lead continuous improvement initiatives by applying Lean Manufacturing and Six Sigma methodologies to optimize throughput, reduce waste ...

Avispa Technology

Manufacturing Engineer

Santa Rosa, CA · On-site

$80/hr

... and data analytics. Systems Engineer Responsibilities: * Lead continuous improvement initiatives by applying Lean Manufacturing and Six Sigma methodologies to optimize throughput, reduce waste ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Work with product, engineering and legal teams to translate data partnership requirements into ... Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics.

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA

Engineer domain-aware features and reusable data assets that accelerate experimentation for manufacturing, quality, and supply analytics. * Build and validate ML/AI models for use cases such as ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

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

Data Analytics Engineer information

See Santa Rosa, CA salary details

$48.7K

$141.8K

$194.1K

How much do data analytics engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data analytics engineer in Santa Rosa, CA is $141,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $150,300.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Santa Rosa, CA? The most popular types of Data Analytics Engineer jobs in Santa Rosa, CA are:
What job categories do people searching Data Analytics Engineer jobs in Santa Rosa, CA look for? The top searched job categories for Data Analytics Engineer jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Data Analytics Engineer jobs? Cities near Santa Rosa, CA with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $141,823 per year, or $68.2 per hour.

Senior Gameplay Analytics Engineer (Unreal Engine)

2K

Novato, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
2K is a global video game company known for publishing titles developed by influential game studios. They are seeking a Senior Gameplay Analytics Engineer to design telemetry specs and frameworks for AAA games, bridging the gap between business and technical data teams.
Responsibilities:
• Turn strategic business goals into clear telemetry specs and frameworks designed for seamless implementation by the development team.
• Define and enforce data standards, naming conventions, and data contracts to keep data consistent across all our games and prevent technical debt.
• Work closely with studio developers to clearly define data warehouse requirements and ensure smooth implementation.
• Partner with dev and Data QA teams to validate telemetry, troubleshoot bugs, and ensure data is accurate and ready for downstream teams to use.
• Contribute directly to the studio codebase by writing telemetry hooks and providing hands-on integration support when needed.
Qualifications:
Required:
• 5+ years of experience as a telemetry architect, telemetry designer, or data analyst in gaming, tech, or entertainment.
• Proven experience designing and implementing scalable telemetry frameworks.
• Solid understanding of the full Game Development Lifecycle, from initial design through Live Ops.
• Deep understanding of data concepts like raw streaming data, data modeling, and metadata.
• Proficient in Advanced SQL and working with platforms like Snowflake and Databricks.
• Experience handling data contracts, GDPR compliance, and PII.
• Ability to write clear telemetry specs and translate complex technical concepts for engineering, product, and business teams.
• An autonomous self-starter who can dive deep into complex technical issues without losing sight of the big picture.
Preferred:
• Experience directly instrumenting telemetry with game studio partners.
• Hands-on experience with game engines (especially Unreal) and C++.
Company:
2K is a development studio that develops and publishes sports-based video games. It is a sub-organization of Take-Two Interactive Software. Founded in 2005, the company is headquartered in Novato, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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