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Startup Data Engineer Jobs in California (NOW HIRING)

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ...

Data Engineer

San Francisco, CA · On-site

$180K - $260K/yr

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer ... As our newest Data Engineer , you'll build and scale the systems that power data-driven decisions ...

Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification ... The Role Our Customer Data Engineers own data integration with our customers, ensuring they get ...

Senior Data Engineer

San Mateo, CA · On-site +1

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Sr. Data Engineer

Union City, CA

$130K - $156K/yr

Company Description Third Wave Automation is a rapidly growing startup that has demonstrated its ... As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data ...

Senior Data Engineer

San Mateo, CA · On-site

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

Company Description Third Wave Automation is a rapidly growing startup that has demonstrated its ... As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data ...

Data Engineer

San Mateo, CA · On-site

$180K - $350K/yr

This is a high-impact opportunity to work in a fast-paced, profitable startup where you'll have ... You will contribute to shared data engineering tooling, standards, and best practices to improve ...

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

About Chartmetric Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics ... Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience

Forward Deployed Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

At Vori, Forward Deployed Data Engineers bridge the gap between customer systems and our modern ... As a startup we constantly have to prove our right to exist. But if we win, we have the chance to ...

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Self-driven, mission-driven, curious, and constructive - a startup mindset with strong ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Self-driven, mission-driven, curious, and constructive - a startup mindset with strong ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Self-driven, mission-driven, curious, and constructive -- a startup mindset with strong ... Data Engineering: * Drive data discovery, open-source intelligence (OSINT) and related data ...

Showing results 21-40

Startup Data Engineer information

What are the typical challenges faced by a startup data engineer, and how is the work environment different from larger companies?

As a Startup Data Engineer, you may encounter unique challenges such as building data systems from scratch, managing ambiguous requirements, and wearing multiple hats due to smaller team sizes. The work environment is often fast-paced and dynamic, with frequent changes in project priorities and high expectations for proactive problem-solving. You’ll likely collaborate closely with engineers, analysts, and founders, gaining hands-on experience with the entire data pipeline and direct influence on core business decisions. This setting offers excellent opportunities for rapid skill growth, creativity, and career advancement, but requires comfort with ambiguity and a strong sense of ownership.

What are the key skills and qualifications needed to thrive as a startup data engineer?

To thrive as a Startup Data Engineer, you need strong programming skills (especially in Python or Scala), experience with data modeling, ETL pipelines, and a solid understanding of database management. Proficiency with tools like SQL, cloud platforms (AWS, GCP, or Azure), and frameworks such as Apache Spark or Airflow is typically expected, while data engineering certifications are a plus. Adaptability, problem-solving skills, and the ability to communicate technical concepts to non-technical team members are crucial soft skills in this environment. These attributes are essential for efficiently building data infrastructure and collaborating with fast-moving startup teams to enable data-driven decision-making.

What is a startup data engineer?

A Startup Data Engineer is responsible for designing, building, and maintaining data infrastructure in an early-stage company. They work on developing ETL pipelines, managing databases, and ensuring data is accessible and reliable for analytics and machine learning. Unlike in larger companies, they often operate with limited resources, requiring them to balance scalability, cost-efficiency, and speed. They may also take on DevOps and software engineering tasks to support the startup’s evolving data needs. Adaptability and problem-solving skills are crucial in this role.

What are the most commonly searched types of Startup Data Engineer jobs in California? The most popular types of Startup Data Engineer jobs in California are:
What job categories do people searching Startup Data Engineer jobs in California look for? The top searched job categories for Startup Data Engineer jobs in California are:
What cities in California are hiring for Startup Data Engineer jobs? Cities in California with the most Startup Data Engineer job openings:
Infographic showing various Startup Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$145K/yr

Full-time

Posted 18 days ago


Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 4+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.