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Junior Data Analytics Engineer Jobs in California

Data Analytics Engineer

San Francisco, CA ยท 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 ...

Data & Analytics Engineer

San Leandro, CA ยท On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting ...

Data & Analytics Engineer

San Leandro, CA ยท On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting ...

This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze ...

Data & Analytics Engineer

Calabasas, CA ยท On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Data Analytics Engineer

Calabasas, CA ยท On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our ...

Junior Data Analyst

Los Angeles, CA ยท On-site +1

$26 - $37/hr

Sparks Wiz Limited is a premier provider of engineering consulting services, delivering innovative ... Support the development of data models and algorithms for more advanced analytics. * Reporting and ...

Data Analytics Engineer

Pleasanton, CA ยท 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 ...

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision ...

Junior Data Engineer

Murrieta, CA ยท On-site

$91K - $121K/yr

This role will work closely with data engineers, analysts, and business stakeholders to ingest, transform, and prepare data for analytics and reporting. The Junior Data Engineer will support the ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... Serve as a knowledgeable liaison to TDS: translating analytical requirements into engineering ...

Posted today

Analytics Engineer III

Sacramento, CA ยท On-site

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in ... Formally mentors junior and associate engineers on dimensional modeling standards and advanced DAX ...

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Junior Data Analytics Engineer information

What is a Junior Data Analytics Engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a Junior Data Analytics Engineer, and why are they important?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a Junior Data Analytics Engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What cities in California are hiring for Junior Data Analytics Engineer jobs? Cities in California with the most Junior Data Analytics Engineer job openings:
Infographic showing various Junior Data Analytics Engineer job openings in California as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution.

Data Analytics Engineer

Parafin, Inc

San Francisco, CA โ€ข On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 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.