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Executive Startup Data Engineer Jobs in California

Elve Speed Inc.

Data Engineer

Davis, CA · On-site

$100 - $125/hr

Who is Elve? Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and ... The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ...

Gridmatic Inc

Data Engineer

San Francisco, CA · Hybrid

$180K - $235K/yr

We're looking for a startup-minded data engineer who can wear a lot of hats, work with multiple teams, and build the data platform needed to support answering these questions. What you might work on:

Elve Inc

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

Who is Elve? Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and ... The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ...

Elve Inc

Data Engineer

Davis, CA

$85K - $150K/yr

Who is Elve? Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and ... The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

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 ...

SERVAL

Data Engineer

San Francisco, CA · On-site

$150 - $200/hr

Early-stage startup experience or a track record of zero-to-one development. * Degree in Computer Science or a related engineering field. What We Offer * Impact : Be a key player in shaping the ...

Serval Inc

Data Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Early-stage startup experience or a track record of zero-to-one development. * Degree in Computer Science or a related engineering field. What We Offer * Impact : Be a key player in shaping the ...

Ambience Healthcare

Senior Data Engineer

San Francisco, CA · On-site

$200K - $250K/yr

We're backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins ... As a Senior Data Engineer, you'll build and run the pipelines that ingest clinical and operational ...

Gridmatic Inc

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

We're looking for a startup-minded data engineer who can wear a lot of hats, work with multiple teams, and build the data platform needed to support answering these questions. What you might work on:

Allocate

Sr. Data Engineer II

Palo Alto, CA · On-site

$145K - $220K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... As a fintech startup on a mission to make investing in top-tier private markets more accessible, we ...

Front

Staff Data Engineer

San Francisco, CA · On-site

$237K - $270K/yr

... top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous ... Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . Front's Data ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

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 ...

Front

Staff Data Engineer

San Francisco, CA · On-site

$200 - $250/hr

... top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous ... Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List. Front's Data ...

Whatnot

Staff Software Engineer, Data

San Francisco, CA · On-site

$207K - $290K/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

Customer Data Engineer

San Francisco, CA · On-site

$150 - $200/hr

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 ...

Gridsight

Customer Data Engineer

San Francisco, CA · On-site

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 ...

Pattern AI

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 ...

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All JobsStartup Data Engineer JobsExecutive Startup Data Engineer JobsExecutive Startup Data Engineer Jobs in California

Executive Startup Data Engineer information

What is an executive startup data engineer?

Executive Startup Data Engineers are senior-level professionals who design, build, and oversee data systems and strategies within startup companies. They bridge the gap between technical data engineering and high-level business objectives, often leading small teams or entire data departments. Their responsibilities include developing data pipelines, ensuring data quality, and delivering insights that drive business growth. In a startup environment, they must be both hands-on and strategic, adapting quickly to evolving technical and business needs.

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

To thrive as an Executive Startup Data Engineer, you need expertise in data architecture, advanced analytics, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (like AWS or Google Cloud), and relevant certifications are commonly expected. Leadership, strategic thinking, and effective communication are crucial soft skills for driving data initiatives and collaborating with cross-functional teams in a fast-paced environment. These skills and qualities are vital for building scalable data solutions that support business growth and innovation in a startup setting.

What are some unique challenges executive startup data engineers face when building data infrastructure in early-stage companies?

Executive Startup Data Engineers often encounter the challenge of building scalable and reliable data pipelines from scratch with limited resources and rapidly evolving business needs. They must balance hands-on technical implementation with strategic planning, frequently adapting solutions as product priorities shift. Collaboration with founders, product teams, and business stakeholders is crucial to ensure that data systems align with overall company goals. Additionally, they may be responsible for mentoring junior engineers and setting data governance practices that will scale as the company grows.

What is the difference between Executive Startup Data Engineer vs Data Engineer?

AspectExecutive Startup Data EngineerData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in data science, computer science, or related fields, with leadership experienceBachelor's or Master's in CS, data science, or related fields, with technical skills
Work EnvironmentStrategic role in startup leadership, involved in decision-making and high-level planningTechnical role focused on data pipeline development, maintenance, and optimization
Employer & Industry UsageFound in startup leadership teams, tech companies, and data-driven startupsCommon across tech, finance, healthcare, and other data-centric industries

The Executive Startup Data Engineer combines technical expertise with strategic leadership, often involved in guiding data initiatives at a high level. In contrast, a Data Engineer primarily focuses on building and maintaining data infrastructure. The executive role requires more experience, leadership skills, and a broader understanding of business goals, while the Data Engineer emphasizes technical proficiency and data management skills.

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 are popular job titles related to Executive Startup Data Engineer jobs in California?

For Executive Startup Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Executive Startup Data Engineer jobs in California look for?

The top searched job categories for Executive Startup Data Engineer jobs in California are:

What cities in California are hiring for Executive Startup Data Engineer jobs?

Cities in California with the most Executive Startup Data Engineer job openings:

Executive Startup Data Engineer jobs near you

Data Engineer

Elve Speed Inc.

Davis, CA • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

Key responsibilities

  • Design and deploy data pipelines, databases, and data processing tools to collect, record, and interpret manufacturing data from test equipment, IoT devices, and manufacturing systems

  • Support root cause analysis and improvement initiatives using data-driven methods

  • Build and deploy automation and AI tools to reduce manual analysis, triage issues, and support decision-making

Job description

Who is Elve?

Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and manufacturing of high-efficiency lightweight millimeter-wave and near-THz RF power amplifiers. Our groundbreaking technology enables 100x faster wireless internet access in urban settings and remote locations, revolutionizing the future of wireless connectivity well beyond 5G. We are looking for engineers to join our team and contribute to the advancement of our technology. If you are passionate about RF electronics, precision assembly, manufacturing data and informatics, and working on cutting-edge technology, then we want to hear from you!

Job Description

This role focuses on using data, analytics, and AI to analyze and use that knowledge to improve manufacturing performance, test coverage, and operational decision-making. The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools, and AI-enabled automation of data collection, processing, and interpretation to increase throughput, yield, and reliability across production and test systems.

This is a highly hands‑on role. The ideal candidate is comfortable building automation, working directly with manufacturing data, test systems, hardware, production operator teams, and engineers on the manufacturing floor, not operating solely as an analyst or researcher.

Key Responsibilities
  • Design and deploy data inputs, structure and implement databases, and apply data processing and analysis to record, post, and interpret manufacturing data from test equipment, IoT devices, and manufacturing systems
  • Support root cause analysis and improvement initiatives using data‑driven methods
  • Partner with manufacturing and test engineers to improve test throughput, data quality, and logging standards, including by developing dashboards and alerts for process health and statistical process control
  • Build and deploy automation and agentic AI tools to reduce manual analysis, triage issues, and support decision‑making
Required Qualifications
  • Strong background in data pipeline definitions and streamlining, data analysis, statistics, database design and implementation, API calls, and applied data analysis
  • Experience with Python for data processing and automation
  • Familiarity with SPC, manufacturing data, or industrial analytics
  • Experience integrating data from test systems, sensors, or IoT sources
  • Enthusiasm to participate in on‑floor troubleshooting and hardware/sensor validation
  • Ability to translate ambiguous operational problems into practical technical solutions
Preferred Qualifications
  • 3+ years of experience in relevant roles in a commercial setting
  • Experience deploying AI or agentic systems in production or operational environments
  • Exposure to manufacturing, hardware, or test automation environments
  • Experience working in fast‑moving venture-backed companies

Benefits Include:

  • Health benefits (medical, dental, vision)
  • Vacation
  • A taste of the start‑up life
  • Exposure to cutting‑edge technology in vacuum electronics, materials science, and additive manufacturing
What it’s like to work at Elve

We are an expanding team, on a mission to bring the next generation of high-speed wireless connectivity to a billion people worldwide. That kind of impact is not going to be achieved with incremental improvements- we are gunning for orders of magnitude advances in production capability, cost, size, and power in the mm-wave RF amplifier market. We work really hard, make sure we get good sleep, we handle conflict intentionally, and we expect great things from each other.

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