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Founding Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

$108K - $147K/yr

We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1 Qventus is looking for a Senior Data Engineer to pioneer ...

Forward Deployed Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As one of the Founding Forward Deployed Data Engineers , you won't just be implementing processes-you'll be defining them from the ground up . You'll create the playbooks, data pipelines, and ...

$96K - $130K/yr

Our company has experienced rapid growth since its founding in 2018. This growth has allowed us to ... Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ...

Senior Data Engineer

Clinton, OH · On-site

$98K - $133K/yr

Our company has experienced rapid growth since its founding in 2018. This growth has allowed us to ... Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ...

Head of Data & Analytics

$135K - $150K/yr

... engineering, or data science roles, with at least 3 years in a senior or lead capacity * Proven experience operating as a one-person or founding data team - someone who has owned the full stack from ...

Senior Data Engineer

Clinton, MI · On-site

$104K - $142K/yr

Our company has experienced rapid growth since its founding in 2018. This growth has allowed us to ... Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ...

Senior Data Engineer

Clinton, MI · On-site

$104K - $142K/yr

Our company has experienced rapid growth since its founding in 2018. This growth has allowed us to ... Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ...

Founding Senior Backend Engineer (Data Platform / Integrations) Location: New York City -- In-Person The Opportunity Our client is hiring a Founding Senior Backend Engineer to own the data platform ...

Founding Senior Backend Engineer (Data Platform / Integrations) Location: New York City - In-Person The Opportunity Our client is hiring a Founding Senior Backend Engineer to own the data platform ...

Founding Senior Backend Engineer (Data Platform / Integrations) Location: New York City -- In-Person The Opportunity Our client is hiring a Founding Senior Backend Engineer to own the data platform ...

Your Role As a founding Data Scientist for Procure-to-Pay (P2P) at Zip, you'll collaborate ... Strong command of SQL and Python programming languages. * Solid foundation in statistical methods ...

Your Role As a founding Data Scientist for Procure-to-Pay (P2P) at Zip, you'll collaborate ... Strong command of SQL and Python programming languages * Solid foundation in statistical methods ...

Data Engineer

Emeryville, CA · On-site

$132K - $159K/yr

... founding in 1997. We start with an organization powered by our company purpose--Changing Lives with ... As a Data Engineer, you will help our company solve their most challenging problems and drive ...

Founding Engineer

San Francisco, CA · On-site

$150K - $250K/yr

As a Founding Engineer , you'll own problems end-to-end, work directly with founders, and make ... Data pipelines that structure large volumes of unstructured web data for novel product experiences

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence. This is not ...

Showing results 41-60

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 Sep 12, 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 is a founding data engineer?

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 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 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 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 are popular job titles related to Founding Data Engineer jobs?

For Founding Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Founding 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.
Qventus
Health Care and Social Assistance • 11 - 50 employees

$108K - $147K/yr

Full-time

PTO

Re-posted 14 days ago


Job description

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.
Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1
Qventus is looking for a Senior Data Engineer to pioneer new data solutions at Qventus. Our Data team ensures that Qventus data users have the data they need to build and drive new and existing Qventus products at scale and cost. This includes bidirectional integration with hospital EMR sources via multiple channels (eg. FHIR), complex highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances, integration with & discovery of multiple third party datasets from customer data to big-data claims, and more. Our products span the machine learning based orchestrations, real time hospital reporting, analytical insights, and interactive applications needed to improve the lives of patients and doctors across the country.
As a Senior Data Engineer, you will lead the design, development, and management across investments data assets & data pipelines. You will identify, monitor, and lead initiatives to collect, explore, and model data in close partnership with our data modeling lead and integrations partners. You will work closely with solution experts to design, iterate, and develop strategic enhancements to our Qventus foundational data model. You will be adept in partnering with cross-functional partners and data users to translate functional needs into data requirements and quality checks. You will be data curious and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.
Key Responsibilities
  • Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain.
  • Facilitate the technical management of data assets - clearly tracking and maintaining context on the data within the dataset lifecycle and sustaining tight partnerships with immediate partners on ingestion & solution data engineering
  • Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.).
  • Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement.

What We're Looking For
  • Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike
  • Innate aptitude for interpreting complex datasets with demonstrated ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills. (Healthcare experience preferred)
  • Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML
  • Proven ability to independently handle ambiguous project requirements and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development.

Bonus Points For
  • 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
  • Relevant industry certifications in a variety of Data Architecture services (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering).
  • Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
  • Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
  • Degree in Computer Science, Engineering, or related field

Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.
Salary Range
$150,000-$180,000 USD
Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers.
Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice.
*Benefits and perks are subject to plan documents and may change at the company's discretion.
*Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.