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Executive Startup Data Engineer Jobs in California

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

$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 ...

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 ...

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 ...

Allocate

Sr. Data Engineer

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 ...

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 ...

Discord

Data Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Build and maintain executive-level dashboards and self-serve reporting tools that enable business ... Partner closely with data science, product manager, and engineering teams to translate business ...

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 - $190K/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.

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 ...

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 · 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 ...

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:

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 ...

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:

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 ...

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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

Brevian.ai

Sunnyvale, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 22 days ago

Job description

BREV/AN is at the forefront of revolutionizing how businesses leverage artificial intelligence. Our no-code platform empowers every business team to harness the power of production-grade AI agents, without the need for specialized skills. With BREV/AN, users can effortlessly create, customize, and train AI agents to automate tasks, analyze data, and enhance team productivity. Our commitment to security ensures each agent is equipped with advanced features to protect against prompt injections, redact sensitive information, and refine responses for maximum safety and compliance.
Job title
Data Engineer
Position overview
We are looking for an experienced Data Engineer to join our Engineering team. The ideal candidate will have a strong background in developing scalable, high-performance data systems, with a particular focus on enterprise data systems. With our company's growing reliance on cloud technologies, especially AWS, and big data systems, your role will be pivotal in shaping the backbone of our tech infrastructure.
Key responsibilities
  • Design, develop, and maintain scalable, high-availability Data systems.
  • Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem.
  • Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.
  • Ensure the security and integrity of application data in compliance with industry standards.
  • Collaborate with cross-functional teams to identify and resolve performance bottlenecks.
  • Provide technical mentorship to junior team members.

Qualifications
Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in working with Data systems and Data pipeline , preferably for enterprise-level applications.
  • Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.
  • Familiarity with data modeling, ETL processes, and data warehousing.
  • Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch.
  • Experience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.

Preferred Qualifications
  • Knowledge of Large Language Models (LLMs) is a significant plus.
  • Strong analytical skills and the ability to tackle issues with innovative solutions.
  • Security background and experience developing secure applications for enterprises is a plus.
  • Ability to work in a fast-paced and dynamic environment and have a growth mindset.

Why BREVIAN?
We are a very well funded seed stage startup. You get to experience the 0-1 of building a startup, working with talented engineers from Databricks, LinkedIn, MoveWorks .
We offer generous compensation, equity, benefits, perks and flexible time off.
This is an exciting opportunity to ensure generative AI delivers tremendous value safely and securely. Please contact us if you have the skills and passion for this position at the cutting edge of AI security.

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