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Executive Startup Data Engineer Jobs in California

SupportFinity™

Data Engineer

Redwood City, CA · On-site

$125 - $150/hr

As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact. We are looking for a Data Engineer with hands-on experience in ...

Plug

Sr. Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Head of Engineering About Plug Plug is an automotive fintech startup building the marketplace for ... Founded in 2023 and led by former Tesla executives, Plug has facilitated $100M in EV sales since ...

Plug Technologies Inc

Sr. Data Engineer

Los Angeles, CA · On-site

$150 - $200/hr

Head of Engineering About Plug Plug is an automotive fintech startup building the marketplace for ... Founded in 2023 and led by former Tesla executives, Plug has facilitated $100M in EV sales since ...

Plugmotors

Sr. Data Engineer

Santa Monica, CA · On-site

$150 - $200/hr

Head of Engineering About Plug Plug is an automotive fintech startup building the marketplace for ... Founded in 2023 and led by former Tesla executives, Plug has facilitated $100M in EV sales since ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... You get to experience the 0-1 of building a startup, working with talented engineers from ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Startup experience Qualifications We Want (also, skills you'll learn!) * A drive to continuously ...

TabaPay

Data Engineer

Palo Alto, CA · On-site

$130K/yr

If you are a data engineer who builds durable data systems with long-term scalability in mind, we ... startup. * BS or advanced degree in Computer Science, Mathematics, Computer Engineering, or a ...

Third Wave Automation

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 ... Excellent presentation skills with the ability to influence executives and engineering leads by ...

Menlo Ventures

Data Engineer I

Laguna Beach, CA · On-site

$100 - $125/hr

YOUR MISSION We are looking for a Data Engineer I who is an exceptional early‑career engineer ... Willing to embrace the pace, ambiguity and challenges of a startup environment PREFERRED ...

Third Wave Automation

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 ... Excellent presentation skills with the ability to influence executives and engineering leads by ...

Vast

Senior Data Engineer

Long Beach, CA · On-site

$143K - $203K/yr

Provide technical leadership and strategic guidance on data architecture to executive leadership ... Proven ability to balance strategic vision with tactical execution in fast-paced startup ...

Waystation AI

Data Engineer

Redwood City, CA · On-site

$125 - $150/hr

You've done real work at an early‑stage startup (seed or Series A), where there was no playbook ... -- a front‑row seat to how an AI‑native company gets built * A real product with real ROI ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$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 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$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 ...

Rad AI

Data Engineer

San Francisco, CA · On-site

$145K - $200K/yr

We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ... Experience working at an early stage startup. * Experience in a HIPAA compliant environment.

Samara Living Inc.

Data Engineer

Redwood City, CA · On-site

$125 - $150/hr

We are growing quickly and are looking to hire a Data Engineer to help scale our data and analytics ... Gain equity ownership in a Series B startup positioned for rapid growth. What We Offer * Salary ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Startup experience Qualifications We Want (also, skills you'll learn!) * A drive to continuously ...

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 ...

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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

SupportFinity™

Redwood City, CA • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago

Key responsibilities

  • Design and implement data ingestion pipelines into cloud environments.

  • Identify, find, and integrate new datasets from various sources.

  • Analyze time-series and non-relational data to extract insights.

Job description

About Us

GridCARE solves data center developers' most urgent bottleneck - immediate access to power - through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term capacity from today's grid. Partnering with utilities, GridCARE applies a proprietary playbook to create additional network capacity on existing transmission infrastructure without costly upgrades or multi-year delays. Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is working with major technology and data center companies to accelerate interconnection requests for large-load and data center projects.

As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact.

Job Description

We are looking for a Data Engineer with hands-on experience in data ingestion into cloud environments, finding and retrieving new datasets, and performing analysis on various data types, including time-series and non-relational data. In this role, you'll streamline data processes, ensure data quality and accessibility, and collaborate with UI/UX and AI leads to leverage data for innovative solutions.

This is a unique opportunity to combine deep data engineering and scientific expertise with cutting-edge AI solutions applied to solve the most impactful speed-to-power in the energy industry.

Responsibilities
  • Design and implement data ingestion pipelines into cloud environments, ensuring efficient and scalable data pipelines.
  • Identify, find, and integrate new datasets from various sources, both internal and external.
  • Analyze time-series and non-relational data, extracting valuable insights.
  • Build robust, reusable code to automate data workflows, ensuring reproducibility and scalability.
  • Collaborate with software engineers and domain experts to streamline data processes and improve accuracy.
  • Evaluate data storage and processing resources, including cloud-native solutions.
  • Stay engaged with the latest data engineering and science news, standards, and emerging AI-driven solutions in data management.
Qualifications
  • Bachelor's or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field.
  • Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
  • Strong coding skills in Python, SQL, including experience with data manipulation libraries (e.g., Pandas, NumPy) and database interaction and version control (git).
  • Ability to write well-documented, tested, and maintainable code.
  • Conduct code reviews and contribute to continuous integration and deployment workflows.
  • Strong understanding of data modeling, ETL processes, and data governance.
  • Knowledge of time-series analysis techniques and non-relational database concepts.
  • Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment.
Preferred
  • 2+ years of experience in data engineering, data science, or related areas.
  • Experience integrating and tuning 3rd party AI agents.
  • Able to leverage AI code development tools such as Cursor, Copilot, and Claude Code to accelerate development.
  • Experience working with energy data, including Virtual Power Plants (VPPs), batteries, and control systems.
  • Experience with Kubernetes, Terraform, Helm charts and deploying data applications in the cloud.
  • Familiar with DevOps pipelines, tools, and requirements.
What we offer
  • Competitive salary and equity.
  • Comprehensive benefits package: 401k, healthcare, dental, vision, etc.
  • Hybrid work environment with catered lunches and snacks.
  • The chance to work at the intersection of AI, automation, and data systems alongside experienced engineers and leading researchers.
  • A mission-driven team focused on shaping the future of the energy transition.

Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.

About the company

GridCARE

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