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

Experience with scripting and data analysis programming languages, such as Python or R, including using them to evaluate AI system behavior * Gone deep with cohort and funnel analyses, with a solid ...

As a ML Engineer, you will: * Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions * Mine and analyze data from databases to ...

Senior Software Engineer, Data Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Partner with data engineers, analysts, scientists, and product teams to turn their needs into ... durable platform capabilities. * Evaluate and build agentic workflows that make data work more ...

Delivery Head

Santa Rosa, CA · On-site

$231K/yr

Data & Analytics / Hi-Tech Role Overview We are seeking an accomplished Delivery Head to lead data engineering delivery across a portfolio of Hi-Tech customers -- including semiconductor, hardware ...

Delivery Head

Sonoma, CA · On-site

$237K/yr

Data & Analytics / Hi-Tech Role Overview We are seeking an accomplished Delivery Head to lead data engineering delivery across a portfolio of Hi-Tech customers -- including semiconductor, hardware ...

... data analysis to ensure our displays meet Apple's world-class quality standards Work closely with system engineering teams to validate display modules at the system level, investigate and resolve ...

... Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ... This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing ...

Materials Engineer

Santa Rosa, CA · On-site

$19 - $94/hr

Uses data analysis and metrology for process validation and product qualification. * Applies materials science and process engineering principles to thin film deposition. * Optimizes thin film ...

Showing results 21-40

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 Sep 13, 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.

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.

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 develop insights and reports.

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:

Infographic showing various Data Analytics Engineer job openings in Santa Rosa, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $141,823 per year, or $68.2 per hour.

Staff Data Analyst, Block Compliance

Bodega Bay, CA • On-site

Full-time

Re-posted 16 days ago


Key responsibilities

  • Lead data strategy for regulatory engagements, including ETL development, data validation, and analysis.

  • Connect regulatory expectations with compliance and product roadmaps to influence strategy.

  • Collaborate with legal, engineering, and other partners to inform the development of compliance program elements.


Block rating

7.9

Company rating: 7.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money.

You Will
  • Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis
  • Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy
  • Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms.
  • Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements
  • Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment
  • Leverage your subject matter expertise to educate, coach and influence in and out of the organization with a focus on contributing to the overall, long-term success of Block
  • Lead multiple high-impact workstreams, through ability to seamlessly navigate levels of abstraction in written and verbal communications.
You Have
  • 8+ years of related experience with a Bachelor's degree; or 6+ years and a Master's degree; or equivalent work experience.
  • 5+ years of Compliance/AML experience
  • Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
  • Expert in ETL development
  • Proven track record solving large and complex problems without clear answers, using deep and broad technical expertise
  • Vision to define problems and manage projects in a fast-paced, evolving organization
  • Experience bringing data to life for any audience through written and verbal communication and data visualization.
  • Impeccable attention to detail and polish
Even Better (but not required):
  • CAMS or other AML certification
  • Experience in the FinTech or consulting industry or with financial crimes compliance systems, technologies and processes.
  • Experience with automation using Python, R or Prefect

What Block employees say

Pay

Hours and flexibility

Workplace

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