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Executive Startup Data Engineer Jobs (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem ...

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 ...

Guarantors Technology Service Inc

$115K - $130K/yr

... Best Startup Employers, Deloitte's Technology Fast 500. The Role As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data ...

Theguarantors

Data Engineer

Manhattan, NY · On-site

$115K - $130K/yr

... Best Startup Employers, Deloitte's Technology Fast 500. The Role As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

MegazoneCloud

Sr. Data Engineer

Rochester, NY · On-site

$145K - $165K/yr

You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor ... What You Bring (Requirements) * 5-8+ years of professional data engineering experience. * Deep ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Megazone Cloud US

Sr. Data Engineer

Rochester, NY · On-site

$112K - $135K/yr

You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor ... What You Bring (Requirements) * 5-8+ years of professional data engineering experience. * Deep ...

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

$85K - $115K/yr

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 ...

Doctronic Inc

Senior Data Engineer

New York, NY · On-site

$200K - $275K/yr

... our executive dashboards What We're Looking For * 5+ years of data engineering experience ... Prior experience as the first or only data engineer at a startup Compensation & Benefits * Base ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ... executive benefits, retirement and wealth management services. Founded in 2020, the company is ...

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 ...

Theguarantors

Data Engineer

New York, NY · On-site

$115K - $130K/yr

... Best Startup Employers, Deloitte's Technology Fast 500. The Role As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data ...

Fervo Energy Company

I&C Commissioning Internship

Houston, TX · On-site

$18.25 - $23.75/hr

Analyze ORC startup historian data to support alarm rationalization and cleanup * Assist with ... Electrical, Mechanical, or Chemical Engineering degrees preferred * Strong organizational skills ...

G2M Insights

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

At G2M, data engineers don't simply move data--they build modern decision intelligence platforms that executives use to make critical business decisions. You'll work across cloud engineering ...

Waystation AI

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

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 ...

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 ...

NxT Level

Data Engineer

Manhattan, NY

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake ... Comfort working in a fast-moving startup environment with high ownership * Interest in building ...

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Executive Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do executive startup data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for executive startup data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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Executive Startup Data Engineer jobs near you
Infographic showing various Executive Startup Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Greenwich, CT • On-site

Berkley
See more jobs at Berkleyexternal

$128K - $154K/yr

Other

Re-posted 6 days ago

Job description

Company Details
"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.
Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.
Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
The Company is an equal employment opportunity employer.
Responsibilities
We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI-enabled workflows.
This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, well-designed systems that others can rely on.
The position emphasizes engineering rigor, high-quality code, system reliability, and sound judgment over one-off solutions or purely mechanical implementations.
We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.
Responsibilities
  • Write production-quality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark-based pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AI-assisted engineering approaches, including LLM-enabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, trade-offs, and limitations clearly to technical and non-technical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.

Qualifications
  • 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLM-based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.

Sponsorship Details
Sponsorship not Offered for this Role

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