ZipRecruiter

Log In

1

Founding Data Engineer Jobs (NOW HIRING)

Greenboard

Senior Data Engineer

New York, NY · On-site

$180K - $250K/yr

By centralizing data and workflows, Greenboard helps firms reduce regulatory risk, simplify their ... Our founding team includes engineers who have scaled products at Amazon, Google, and multiple ...

C2FO

Senior Data Engineer II

Kansas City, MO · On-site

$155K - $164K/yr

Senior Data Engineer II Pollen, Inc., D/B/A C2FO seeks a Senior Data Engineer II for Kansas City ... our founding. How do we do this? By providing fast, flexible, and equitable access to low-cost ...

Netflix

OR

$372K - $600K/yr

... Engineering, and Finance, to inform commerce strategy and data-informed decision-making through ... We are hiring founding data scientists to help define this space from the ground up and develop the ...

Netflix

Data Scientist 4/5 - Identity DSE

$372K - $600K/yr

... Engineering, and Finance, to inform commerce strategy and data-informed decision-making through ... We are hiring founding data scientists to help define this space from the ground up and develop the ...

Netflix

Data Scientist 4/5 - Identity DSE

$372K - $600K/yr

... Engineering, and Finance, to inform commerce strategy and data-informed decision-making through ... We are hiring founding data scientists to help define this space from the ground up and develop the ...

Gartner

Data Engineer - Production Support

Stamford, CT · Hybrid

$122.10K - $146.70K/yr

The Data Engineer will provide technical expertise in managing production data quality tasks and ... Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 ...

Gartner

Data Engineer - Production Support

Stamford, CT · Hybrid

$122.10K - $146.60K/yr

The Data Engineer will provide technical expertise in managing production data quality tasks and ... Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 ...

Gartner

Data Engineer - Production Support

Irving, TX · Hybrid

$106.30K - $127.60K/yr

The Data Engineer will provide technical expertise in managing production data quality tasks and ... Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 ...

Gartner

Data Engineer - Production Support

Irving, TX · Hybrid

$109.90K - $132K/yr

The Data Engineer will provide technical expertise in managing production data quality tasks and ... Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 ...

Gartner, Inc.

Data Engineer - Production Support

Irving, TX · On-site

$109.90K - $132K/yr

The Data Engineer will provide technical expertise in managing production data quality tasks and ... Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 ...

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

This is a rare opportunity to join a mission-driven founding team at a pivotal stage and help ... Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within ...

Netflix

OR · On-site

$372K - $600K/yr

... Engineering, and Finance, to inform commerce strategy and data-informed decision-making through ... We are hiring founding data scientists to help define this space from the ground up and develop the ...

Fabrion

Founding Engineer

Bodega Bay, CA · On-site

You'll be working on infrastructure that combines large-scale data systems with AI-native agents ... founding engineer, or a 0-1 pre-seed startup is a big plus Mindset: * Comfortable with ambiguity ...

next page

Showing results 1-20

People also search for

All JobsFounding Data Engineer Jobs

Founding Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do founding data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for founding 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 the key skills and qualifications needed to thrive as a Founding Data Engineer, and why are they important?

To thrive as a Founding Data Engineer, you need strong expertise in data architecture, database design, and software engineering, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or GCP), ETL frameworks, programming languages (such as Python or Scala), and data warehousing tools is typically required. Exceptional problem-solving, adaptability, and collaboration skills set standout candidates apart in this role. These abilities are crucial for building scalable data systems and shaping the technical foundation of an early-stage company.

What are the unique challenges and opportunities of being a Founding Data Engineer at an early-stage startup?

As a Founding Data Engineer, you'll face the challenge of building data infrastructure from scratch, often with limited resources and evolving requirements. You’ll work closely with founders and cross-functional teams to define data strategies, implement pipelines, and ensure data quality. This role offers significant influence over technical decisions and architecture, and you'll likely wear multiple hats, contributing to both backend engineering and data analytics. The fast-paced environment fosters rapid skill development and provides substantial opportunities for career growth as the company scales.

What are Founding Data Engineers?

Founding Data Engineers are among the first technical hires at a startup, responsible for designing, building, and scaling the company's data infrastructure from the ground up. They work closely with founders and early team members to define data architecture, set up data pipelines, and ensure data quality and accessibility for product development and business insights. This role often requires a blend of software engineering, data modeling, and strategic decision-making skills, as well as the flexibility to adapt to rapidly changing priorities in a startup environment.

What is the difference between Founding Data Engineer vs Data Engineer?

AspectFounding Data EngineerData Engineer
Required CredentialsBachelor's or higher in CS, experience in startup environmentsBachelor's or higher in CS, relevant data tools experience
Work EnvironmentEarly-stage startups, high flexibility, broad responsibilitiesEstablished companies, specialized roles, structured teams
Employer & Industry UsageFounding teams, startups, tech companiesTech firms, finance, healthcare, large organizations
Search & Comparison IntentUnderstanding startup data roles, early-stage responsibilitiesStandard data engineering roles, career progression

The main difference between a Founding Data Engineer and a Data Engineer lies in their work environment and responsibilities. Founding Data Engineers typically work in startups, handling broad tasks and building data infrastructure from scratch, while Data Engineers in established companies focus on specific data pipelines within structured teams. Both roles require similar technical skills and educational backgrounds, but their scope and context differ significantly.

More about Founding Data Engineer jobs
What cities are hiring for Founding Data Engineer jobs? Cities with the most Founding Data Engineer job openings:
What states have the most Founding Data Engineer jobs? States with the most job openings for Founding Data Engineer jobs include:
What job categories do people searching Founding Data Engineer jobs look for? The top searched job categories for Founding Data Engineer jobs are:
Founding Data Engineer jobs near you
Infographic showing various Founding Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 43% Physical, 14% Hybrid, and 43% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

Greenboard

New York, NY • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Greenboard
At Greenboard, we're building the future of financial compliance. Greenboard is the unified, AI-native compliance operating system for RIAs, fintechs, private funds, hedge funds, and more. It replaces the fragmented mix of legacy tools and automates more than previously possible. By centralizing data and workflows, Greenboard helps firms reduce regulatory risk, simplify their technology stack, modernize how they run compliance, and save money.
Our founding team includes engineers who have scaled products at Amazon, Google, and multiple unicorn startups. We're backed by Y Combinator, General Catalyst, Base10, and other top-tier investors, and have raised over $20M to date. Brand-name financial institutions already rely on Greenboard - and we're growing fast.
About the Role
We're looking for a Senior Data Engineer to help build and scale our data platform as we grow.
This is a high-impact individual contributor role focused on shaping how data flows through our systems - from production services to analytics and customer-facing features. You'll work across our stack (AWS, internal services, and application data) to ensure data is reliable, well-structured, and usable across the company.
This role is ideal for someone who enjoys operating in ambiguity, building foundational systems, and working closely with engineering, product, and business teams.
What You'll Do
Build and Own Data Systems
  • Design, build, and maintain data pipelines that ingest data from application systems, APIs, and internal services.
  • Develop workflows for both batch and near real-time data processing.
  • Work across AWS-based infrastructure to manage data movement, storage, and transformation.
Model and Serve Data
  • Design and maintain clean, well-structured datasets for analytics, internal tools, and product use cases.
  • Support both analytical workflows and operational/product-facing data needs.
  • Ensure data is easy to understand and reliable for downstream consumers.
Support Product & Customer Data
  • Build and maintain pipelines that power customer-facing features (e.g., reporting, exports, in-product data).
  • Partner with product and engineering teams to integrate data directly into the product experience.
  • Ensure correctness and reliability of data exposed to customers.
Own Data Reliability & Observability
  • Monitor pipeline health and debug issues across systems.
  • Implement logging, alerting, and observability best practices.
  • Improve system reliability and reduce data downtime.
Shape the Data Platform
  • Help define architecture and best practices for our evolving data platform.
  • Standardize patterns for ingestion, transformation, and data modeling.
  • Evaluate and introduce new tools and technologies where appropriate.
What We're Looking For
  • 4-7 years of experience in data engineering, backend engineering, or similar IC roles.
  • Strong SQL skills and experience working with production data.
  • Proficiency in Python (or similar) for building data pipelines and services.
  • Experience working in cloud environments (preferably AWS).
  • Experience building data platforms from early stages or in fast-growing startups.
  • Strong understanding of data modeling for both analytics and operational use cases.
  • Experience building or maintaining production data pipelines and debugging issues.
  • Comfortable working across systems - including application databases, APIs, and internal services.
  • Ability to operate independently and make pragmatic decisions in ambiguous environments.
  • Clear communicator who can collaborate with both technical and non-technical stakeholders.
Nice to Have
  • Experience with Elastic Search or Opensearch
  • Experience supporting customer-facing data features or reporting.
  • Exposure to data governance, privacy, or compliance (e.g., SOC 2, GDPR).
  • Experience evaluating or implementing data tooling (e.g., orchestration, transformation frameworks).
Benefits
  • Salary range: $180,000-$250,000 + meaningful equity
  • 401(k) with 5% company match
  • Medical, dental, and vision coverage
  • 15 days PTO + 11 company holidays + flexible sick time
  • 2 additional PTO days for each year of service (up to 10 additional days)
  • 10 remote days per year plus additional around the holidays
  • Bi-annual off-sites and team retreats
  • Front-row seat to building the operating backbone of modern finance

Apply