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Executive Startup Data Engineer Jobs (NOW HIRING)

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Experience * 5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics

Perpay Inc.

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Perpay Inc. is a certified B Corp and Philadelphia's most impactful growth-stage startup focused on improving the financial stability of everyday Americans. The Data Engineer will be responsible for ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

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

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 ...

Stride Search Inc.

Data Engineer

San Francisco, CA

$134K - $162K/yr

Work in a fast growing startup with unlimited opportunity and lots of room for growth and ... We're seeking an exceptional Data Engineer to work on data products at the core of our company ...

Berkley

Data Engineer

Greenwich, CT

$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 problemsolving ...

Braintrust

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You have worked at a high-growth startup where the data function was still being built. * You have experience with enterprise and self-serve revenue motions. * You have worked with usage-based ...

Cross Screen Media

Data Engineer

Austin, TX

$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 ...

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 ...

Horizon Surgical Systems

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... This is an exciting opportunity to join a high-tech startup that is poised to revolutionize ...

Air

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

We are seeking an exceptional and experienced data engineer who shares our passion and obsession ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Cross Screen Media

Data Engineer

Austin, TX

$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 ...

Horizon Surgical Systems, Inc.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... This is an exciting opportunity to join a high-tech startup that is poised to revolutionize ...

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 ...

New

Atticus

Lead Data Engineer

Los Angeles, CA

$174K - $230K/yr

Qualifications Required: * 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization * Hands-on experience with the ...

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 ...

New

Wynd Labs

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer $100k - $140k Who We Are ... Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI ...

Shift5

$185K - $220K/yr

Build scalable data products for data scientists, transportation engineers, and executives to drive ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

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All JobsStartup Data Engineer JobsExecutive Startup Data Engineer Jobs

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 Jul 11, 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 are Executive Startup Data Engineers?

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, and why are they important?

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
Data Engineer

Data Engineer

Tabs

New York, NY • On-site

$160K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow.
High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance.
Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI.
About the role
You'll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability.
This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You're comfortable operating in ambiguity and focused on driving real business impact.
What you'll do
  • Design and implement our first scalable data warehouse/lakehouse to support KPIs.
  • Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools.
  • Work with leadership to translate business metrics into concrete data models and schemas.
  • Define and own data modeling standards and best practices.
  • Implement monitoring, data quality checks, and observability around pipelines and core tables.
  • Enable BI and data analysts through well structured models and self-serve friendly datasets.
  • Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics.
Experience
  • 5+ years of experience as a Data Engineer, ideally in a mid-stage startup.
  • Solid programming skills in Python.
  • Strong SQL skills and experience designing/data modeling for analytics
  • Hands-on experience with a modern cloud data stack, such as:
    • Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc.
    • Orchestration/transformation: dbt, Airflow, Dagster, or similar.
    • Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc.
  • Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness).
  • Strong understanding of data quality, testing, and monitoring practices.
  • Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions.

Nice to have
  • Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers.
  • Experience in B2B SaaS, especially around revenue, usage, and customer health metrics.
  • Prior experience as an early data hire or working in a small or medium, fast-growing startup

Perks and Benefits (Full-time Employees)
  • Competitive compensation and equity
  • Unlimited PTO
  • Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
  • Lunch provided via Sharebite, plus dinner for any later in office days.
  • Parental leave up to 12 weeks
  • Tax free commuter and parking benefits
  • Voluntary insurances (Life, Hospital, Critical Illness, Accident)
  • Employee Assistance Program (Rightway)
  • Free One Medical Membership
  • 401k

Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We're committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.

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