ZipRecruiter

Log In

1

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

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 ...

Apple

Cellular Data & Automation Engineer

Bodega Bay, CA

$120K - $210K/yr

As a Cellular Data & Automation Engineer, you will be at the center of the embedded 5G/4G/multimode ... Experience in utilizing analytics and statistical methods to transform data into useful insights ...

Apple

Cellular Data & Automation Engineer

Bodega Bay, CA

$120K - $210K/yr

As a Cellular Data & Automation Engineer, you will be at the center of the embedded 5G/4G/multimode ... Experience in utilizing analytics and statistical methods to transform data into useful insights ...

Heartflow

Senior Data Engineer

Rohnert Park, CA · On-site

$140K - $170K/yr

... Heartflow FFRCT Analysis-provides a color-coded, 3D model of a patient's coronary arteries ... We are seeking a proactive, self-starting Senior Data Engineer to architect and scale our data ...

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

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 ...

eAI

Head of AI & Data

Bodega Bay, CA

$135K - $163K/yr

Work closely with engineering to operationalize AI features at scale Financial Use Cases & Domain ... analytics for financial institutions. You will own the technical backbone of the platform and ...

ProcDNA

Director - Analytics

Santa Rosa, CA

You thrive on working with complex data sets to help clients solve real-world challenges, drive ... Strong educational background in engineering (Bachelor's or Master's) with excellent academic ...

ProcDNA

Director - Analytics

Sonoma, CA

You thrive on working with complex data sets to help clients solve real-world challenges, drive ... Strong educational background in engineering (Bachelor's or Master's) with excellent academic ...

next page

Showing results 1-20

People also search for

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 11, 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.
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 are popular job titles related to Data Analytics Engineer jobs in Santa Rosa, CA? For Data Analytics Engineer jobs in Santa Rosa, CA, the most frequently searched job titles 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
Cloud Data Engineer

Cloud Data Engineer

Redwood Credit Union

Santa Rosa, CA

$115K - $151K/yr

Full-time

Posted 5 days ago

Job description

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the creation and maintenance of data pipelines, storage solutions, processing, analysis, and integration to facilitate data-driven decision-making. This role requires a combination of technical skills, analytical problem-solving, and collaboration with cross-functional teams to achieve data-driven goals.
 
Key Responsibilities
o Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools.
o Collaborate with technical analysts, business analysts, and line of business stakeholders to understand data requirements and implement appropriate data solutions.
o Ensure data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements.
o Build effective data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
o Load transformed data into storage and reporting structures in destinations including data warehouse, reporting systems and analytics applications.
o Monitor and troubleshoot issues with the data environment to maintain high availability and performance.
o Provide on-call support for critical production systems.
o Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information.
o Utilize analytics services to provide actionable insights and support data-driven decision-making.
o Maintain effective documentation regarding data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
o Mentor IT staff on security best practices and emerging technologies.
o Participate in continuous learning to stay current with cybersecurity advancements.
o Collaborate with colleagues to draft technology plans that enhance security posture.
 
Join us and discover why you'll love working at Redwood Credit Union!
 
ABOUT REDWOOD CREDIT UNION (RCU):
At Redwood Credit Union, our mission is to passionately serve the best interests of our Members and communities. Since 1950, we have been dedicated to supporting the financial well-being of our Members through better rates, low or no fees, and best-in-class customer service. Our purpose is to inspire hope and elevate the financial well-being of our communities one person at a time, through good times and bad.
 
As a not-for-profit financial institution, we are committed to a people-first approach, which is reflected not only in how we serve our Members, but also in how we treat our employees. Our leadership team is deeply focused on fostering a culture of heart and empathy, integrity, passion, inclusion, meaningful relationships, excellence, and ensuring financial well-being for all. 
 
Why work for Redwood Credit Union?
•  27th largest credit union in the U.S. and the largest financial institution based in the North Bay
•   Recognized by Newsweek as one of "America's Best Credit Unions 2026"
•   Awarded a 5-Star Bauer Rating
•  Recognized by Newsweek as one of "America's Greatest Midsize Workplaces 2025"
•   Top Corporate Philanthropists (#24) - San Francisco Business Times
•   Voted Best Places to Work in the North Bay 20 years in a row
•   World-class Employee Engagement scores
•   Rated Superior in Service by more than 90% of Members, surveyed by SF Gate
•   Industry leading Net Promoter Scores across the U.S.
   
Minimum Qualifications: Knowledge, Skills and Abilities
  • Previous experience as an Azure Data Engineer or similar role.
  • Proven experience using data processing languages such as Python and SQL.
  • Experience with Azure: Data Factory, Databricks, Data Lake Storage, SQL DW, Analysis Services, and API – PySpark.
  • ETL experience in a data warehouse environment using slowly changing dimensions.
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • Ability to multi-task in a fast-paced environment.
  • Ability to prioritize tasks and projects using a browser -based tracking system.
  • Familiarity with JIRA preferred.
  • Current knowledge of laws, rules, and regulations pertaining to information technology relating to financial institutions.
  • Ability to work independently with limited supervision.
  • Ability to effectively interact and communicate with outside vendors and internal clients.
  • Ability to communicate effectively both verbally and in writing.
  • Ability to establish and maintain effective working relationships with a diverse group of people.
Licenses and Certifications
  • Microsoft Certified Azure data engineer preferred.
The ideal candidate has a combination of education and experience equivalent to a bachelor’s degree in computer science or closely related field and a minimum of five years of Azure migration experience.
 
Compensation: Base starting range: $115,037 to $151,561 annually commensurate with experience.
Our base salary starting range is based on scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal peer equity. We offer a competitive total rewards package including a wide range of medical, dental, vision, financial, and other benefits.
 
Redwood Credit Union offers a robust benefits package to our eligible employees including:
•  Competitive medical, dental, and vision insurance, mental health offerings
•  Employee performance incentive plan
• Salary Advancement– Merit increase based on performance
• 401(k) program with employer match
• Time Off- Competitive PTO accrual plus 11 paid company holidays and your birthday off!
 
RCU Discounts and Perks:
• RCU employees are eligible for a .75% discount off RCU standard collateral auto loans
• RCU employees are eligible for a 1% discount on all recreational or boat loan products
• 2% discount off Visas and LOC Loans through RCU
• 0% interest loan to support employees with various immigration related expenses such as visa application fees and relocation costs. Loan amount up to $1,000.
• 0% interest loan to support employees with expenses associated with the naturalization process. Loan amount up to $15,000.
• 0% interest on garment, fitness, or home office equipment loan of up to $500
• 100% financing for employee purchased homes!
 
Physical Requirements:
• Ability to stand, bend, stoop, sit, walk, twist, and turn.
• Ability to stand for extended periods of time occasionally.
• Ability to lift up to 50 pounds.
• Ability to use a computer keyboard, calculator, and mouse.
• Work environment is indoors; majority of the time is spent sitting at a desk
 
*Redwood Credit Union is not offering Visa transfers and/or sponsorships for this position. 
 
Internal Team Members: If you are a current Team Member, please apply through the internal careers page located in RCUNET. 
                                                  
                                                  We are an Equal Opportunity Employer

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us at careers@redwoodcu.org. To ensure fairness and consistency, we’re unable to respond to individual inquiries about application status.