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

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

Broccoli AI

Founding Data Analytics Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Ad-hoc analyses, segment investigations, partner questions. * Work closely with engineering. Understand how our systems store and produce data, including schemas, events, and architecture, and give ...

Hyperbolic

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking their first data analytics hire to establish and own the data foundation for their ... Hyperbolic is the open-access AI cloud made for AI developers, providing fast, affordable access to ...

Payactiv, Inc.

Data and Analytics Engineer

Milpitas, CA

$130K - $165K/yr

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business reporting, analytics, dashboarding, and marketing/operational data request workflows. This is a highly ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Samsung SDS

Data analytics developer

San Jose, CA

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Samsung SDSA

Data analytics developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Samsung SDS

Data Analytics Developer

San Jose, CA

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

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

Data Analytics Engineer information

See Fremont, CA salary details

$48.7K

$142K

$194.3K

How much do data analytics engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics engineer in Fremont, CA is $141,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,500.00 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 the most commonly searched types of Data Analytics Engineer jobs in Fremont, CA?

The most popular types of Data Analytics Engineer jobs in Fremont, CA are:

What are popular job titles related to Data Analytics Engineer jobs in Fremont, CA?

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

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

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $141,996 per year, or $68.3 per hour.

Data Analytics Engineer

Parafin, Inc

San Francisco, CA • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design reliable datasets, transform raw data into trusted business metrics, and partner closely with Product, Engineering, Finance, Risk, and Operations. You'll also leverage modern AI tools to accelerate development and help build scalable, efficient analytics workflows. Your work will enable teams across the company to make better decisions and help us build products that expand access to financial services for small businesses.
Are you a curious, analytical, and collaborative individual with a passion for turning large, complex datasets into actionable insights? If so, come join us!
What You'll Be Doing:
  • Build and maintain scalable data pipelines that power analytics data models and trusted datasets.
  • Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
  • Leverage AI tools to accelerate development, improve productivity, and streamline analytics workflows.
  • Develop and maintain dashboards, reports, and self-service analytics for business stakeholders.
  • Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
  • Monitor data quality, investigate discrepancies, and improve the reliability of our data.
  • Contribute to the continuous improvement of Parafin's analytics infrastructure and analytics engineering practices.

What We're Searching For:
  • 1-3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
  • Strong SQL skills.
  • Experience working with relational databases and data warehouses.
  • Experience with Python or another scripting language.
  • Familiarity with dbt or a desire to learn modern analytics engineering tools.
  • Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).

We Prefer If You Have:
  • Knowledge of data modeling and analytics engineering best practices.
  • Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms.
  • Experience with Git and version control.
  • Familiarity with Airflow, Dagster, or other workflow orchestration tools.
  • Experience working with financial services, lending, payments, or product analytics data.
  • Experience in a startup or other fast-paced, high-growth environment.

What We Offer
  • Salary Range: $180k - $220k
  • Equity grant
  • Medical, dental & vision insurance
  • Unlimited PTO
  • Work from home flexibility
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Apply