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Data Analytics Engineer Jobs in Berkeley, CA (NOW HIRING)

1 point system

Marketing Data Analytics

San Francisco, CA · Remote

$88K - $110K/yr

MUST HAVES: 8+ yrs of IT/Engineering 4-yr Degree (Computer Science or Related) 5+ yrs of Data Analytics, with specific work with Marketing contribution to Partner-Sourced Pipelines 3+ yrs Data ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL ...

NextGenEnergyJobs

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Our central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood. This is a hands-on engineering role: the majority of our ...

Poshmark, Inc

Director, Data Analytics

Redwood City, CA · On-site

Partner with Data Engineering to productionize frameworks. Hire, mentor, and grow a team of analysts and promote a data-driven culture across the Revenue org. What Success Looks Like In Your First 6 ...

Redwood Materials

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

About the Role Our central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood. This is a hands-on engineering role: the ...

Pave

Analytics Engineer

San Francisco, CA · On-site

$190/hr

The Data Team @ Pave As part of the Data team at Pave you will help us redefine how companies ... Experience - 4+ years of experience in a Data/Analytics Engineering role, ideally in a product ...

Brex

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ... Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Berkeley, CA

Data Analytics Engineer information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do data analytics engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analytics engineer in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 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 are popular job titles related to Data Analytics Engineer jobs in Berkeley, CA?

For Data Analytics Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Berkeley, CA look for?

The top searched job categories for Data Analytics Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Data Analytics Engineer jobs?

Cities near Berkeley, CA with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Berkeley, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $158,830 per year, or $76.4 per hour.

Marketing Data Analytics

San Francisco, CA • Remote

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$88K - $110K/yr

Contractor

Re-posted 28 days ago

Job description

MUST HAVES:
8+ yrs of IT/Engineering
4-yr Degree (Computer Science or Related)
5+ yrs of Data Analytics, with specific work with Marketing contribution to Partner-Sourced Pipelines
3+ yrs Data Modelling for Partner Marketing Documents and maintains all KPIs, dimensions, and definitions, such as marketing-influenced partner-sourced pipeline, activities, unique domains, and DF RO
3+ yrs of hands on work with Jira/Confluence, SQL, Databricks, Data Mining tools, Tableau, Salesforce, Socrates
PRIOR WORK WITHIN TECH, SAAS AND MKTG ANALYTICS REQ’D