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Data Analyst Data Scientist Jobs in Santa Rosa, CA

Cloud Data Engineer

Santa Rosa, CA ยท On-site

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... science or closely related field and a minimum of five years of Azure migration experience.

Cloud Data Engineer

Santa Rosa, CA ยท On-site

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... science or closely related field and a minimum of five years of Azure migration experience.

Bachelor degree in Viticulture, Horticulture, Plant Science, Crop Science, Agricultural Science ... data. In addition to the salary, this position may be eligible for bonuses, incentive plans, or ...

Lead cross-functional collaboration with Engineering, Data Science, Data Engineering, and Go-to ... analytics infrastructure, or ML/AI products in B2B SaaS. * Experience defining derived data ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Strong Excel skills for data analysis (e.g. Pivot Tables) Qualifications We Prefer * Aerospace ...

Showing results 41-60

Data Analyst Data Scientist information

See Santa Rosa, CA salary details

$50.3K

$180.4K

$266.2K

How much do data analyst data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst data scientist 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 the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What cities near Santa Rosa, CA are hiring for Data Analyst Data Scientist jobs? Cities near Santa Rosa, CA with the most Data Analyst Data Scientist job openings:
Infographic showing various Data Analyst Data Scientist 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.

Cloud Data Engineer

Redwood Credit Union

Santa Rosa, CA โ€ข On-site

$115K - $151K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 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.
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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.
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Join us and discover why you'll love working at Redwood Credit Union!
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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.
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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.ย 
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Why work for Redwood Credit Union?
ย 25th largest credit union in the U.S. and the largest financial institution based in the North Bay
ย ย ย Recognized by Newsweek as one of "America's Best Credit Unions 2026"
ย ย ย Awarded a 5-Star Bauer Rating
ย  Recognized by Newsweek as one of "America's Greatest Midsize Workplaces 2025"
ย ย ย Top Corporate Philanthropists (#24) - San Francisco Business Times
ย ย  Voted Best Places to Work in the North Bayย 20 years in a row
ย ย ย World-class Employee Engagement scores
ย ย ย Rated Superior in Service by more than 90% of Members, surveyed by SF Gate
ย ย ย Industry leading Net Promoter Scores across the U.S.
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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.
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Compensation:ย 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.
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Redwood Credit Union offers a robust benefits package to our eligible employees including:
ย  Competitive medical, dental, and vision insurance, mental health offerings
ย  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!
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RCU Discounts and Perks:
ย RCU employees are eligible for a .75% discount off RCU standard collateral auto loans
ย 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!
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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
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*Redwood Credit Union is not offering Visa transfers and/or sponsorships for this position.ย 
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Internal Team Members: If you are a current Team Member, please apply through the internal careers page located in RCUNET.ย 
ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย ย 
ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  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 [emailย protected]. To ensure fairness and consistency, we're unable to respond to individual inquiries about application status.
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