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

Trident Consulting

Mapping Data Analyst

Sonoma, CA · On-site

$50/hr

Partner closely with Product Managers, Engineers, and UX Researchers to translate data insights into product improvements. * Lead recurring analytics reviews, support weekly program updates ...

New

Trident Consulting

Mapping Data Analyst

Santa Rosa, CA · On-site

$50/hr

Partner closely with Product Managers, Engineers, and UX Researchers to translate data insights into product improvements. * Lead recurring analytics reviews, support weekly program updates ...

New

SmithRx

Staff Data Analyst

Bodega Bay, CA · On-site +1

Collaborating with Data & Analytics Engineers to architect robust data models and institute world-class data quality guardrails * Leveraging SQL & dbt to query, transform, and validate complex data ...

SmithRx

Staff Data Engineer

Bodega Bay, CA · On-site

We empower our Data Analytics and Machine Learning teams to make drug pricing transparent and easy ... Improve Developer Efficiency: Continuously look for ways to simplify code and infrastructure.

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.

SmithRx

Senior Staff Data Engineer

Bodega Bay, CA · On-site

$125K - $170K/yr

We empower our Data Analytics and Machine Learning teams to make drug pricing transparent and easy ... Drive Engineering Excellence: Make high-impact technical choices--including "build vs. buy" and ...

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 · 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 ...

Redwood Credit Union

Cloud Data Engineer

Napa, 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

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

Santa Rosa, 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 Jun 16, 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 I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, 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 stock options or bonuses.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 infrastructure 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.
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Data Analytics Engineer jobs near you
Mapping Data Analyst

Mapping Data Analyst

Trident Consulting

Sonoma, CA • On-site

$50/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Trident Consulting is seeking a " Mapping Data Analyst " for one of our clients in " San Francisco, CA(Onsite) " A global leader in business and technology services.


Job Title: Mapping Data Analyst

Location: San Francisco, CA(Onsite)

Type: Contract

Rate: $50/hr on W2

Key Must-Have Skills

  • SQL (Advanced)
  • Data Analytics & Business Intelligence
  • KPI Reporting & Dashboard Development
  • Data Visualization (Tableau, Power BI, Looker, Mode, Hex)
  • GIS / Mapping Data Analytics (Preferred)
  • Stakeholder Management & Executive Reporting


Job Summary – Mapping Data Analyst

  • Monitor and improve map data coverage, accuracy, and overall data quality by identifying issues and driving corrective actions.
  • Develop and maintain KPI dashboards, metrics reports, and automated monitoring systems to track map data health.
  • Perform root-cause analysis on data quality issues and proactively resolve problems before they impact downstream products.
  • Analyze Mapping, Driver, Rider, and Platform product data to uncover insights and support feature prioritization.
  • Partner closely with Product Managers, Engineers, and UX Researchers to translate data insights into product improvements.
  • Lead recurring analytics reviews, support weekly program updates, quarterly KPI planning, and ad-hoc investigations.
  • Analyze end-to-end map data operations including data collection, coverage, traversal, device/asset management, cost, and operational efficiency.
  • Build scalable analytical frameworks and reusable reporting processes to convert complex data into actionable business recommendations.
  • Manage multiple analytical projects, define measurement plans, align stakeholders on success metrics, and communicate progress to leadership.
  • Utilize advanced SQL, data visualization tools, and modern analytics platforms such as Mode, Hex, or AI-powered data tools to deliver meaningful insights


About Trident Consulting

Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we’ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services.

We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data & analytics, cloud, cybersecurity, finance & accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.

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About Trident Consulting

Sourced by ZipRecruiter

Trident Consulting is a certified 100% woman- and minority-owned staffing company, incorporated in 2005. Some of our achievements include making it to the Inc. 5000 list and Bay Area's list of Top 100 fastest growing companies.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Dublin, CA, US

Year founded

2005

Social media

Twitter

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