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Startup Data Engineer Jobs (NOW HIRING)

Sigma Computing

Data Engineer

New York, NY · 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 ...

Sigma Computing

Data Engineer

Manhattan, NY · 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 ...

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 ...

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

$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 ...

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:

New

TMS

Software Engineer, ML Data Reliability

Cupertino, CA · On-site

$141K - $169K/yr

Full Time Permanent Role On W2 We're looking to hire our first data software engineer client is Looking for a startup-minded eng who works closely with our ML and optimization teams to ingest and ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

SignalFire

Data Engineer - VC Backed Startups

New York, NY · On-site

$125K - $150K/yr

Help define the company's broader data architecture and technical roadmap Common Qualifications While each startup has its own hiring criteria, many Data Engineer roles in our network look for: * 3+ ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Regard

Data Engineer

New York, NY · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

Regard

Data Engineer

New York, NY · On-site

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

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 ...

Regard

Data Engineer

San Francisco, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

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Showing results 41-60

All JobsStartup Data Engineer Jobs

Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do startup data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for 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 the typical challenges faced by a startup data engineer, and how is the work environment different from larger companies?

As a Startup Data Engineer, you may encounter unique challenges such as building data systems from scratch, managing ambiguous requirements, and wearing multiple hats due to smaller team sizes. The work environment is often fast-paced and dynamic, with frequent changes in project priorities and high expectations for proactive problem-solving. You’ll likely collaborate closely with engineers, analysts, and founders, gaining hands-on experience with the entire data pipeline and direct influence on core business decisions. This setting offers excellent opportunities for rapid skill growth, creativity, and career advancement, but requires comfort with ambiguity and a strong sense of ownership.

What are the key skills and qualifications needed to thrive as a startup data engineer?

To thrive as a Startup Data Engineer, you need strong programming skills (especially in Python or Scala), experience with data modeling, ETL pipelines, and a solid understanding of database management. Proficiency with tools like SQL, cloud platforms (AWS, GCP, or Azure), and frameworks such as Apache Spark or Airflow is typically expected, while data engineering certifications are a plus. Adaptability, problem-solving skills, and the ability to communicate technical concepts to non-technical team members are crucial soft skills in this environment. These attributes are essential for efficiently building data infrastructure and collaborating with fast-moving startup teams to enable data-driven decision-making.

What is a startup data engineer?

A Startup Data Engineer is responsible for designing, building, and maintaining data infrastructure in an early-stage company. They work on developing ETL pipelines, managing databases, and ensuring data is accessible and reliable for analytics and machine learning. Unlike in larger companies, they often operate with limited resources, requiring them to balance scalability, cost-efficiency, and speed. They may also take on DevOps and software engineering tasks to support the startup’s evolving data needs. Adaptability and problem-solving skills are crucial in this role.

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Startup Data Engineer jobs near you
Infographic showing various Startup Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Sigma Computing

New York, NY • On-site

$140K - $180K/yr

Full-time

Medical, Retirement

Posted 23 days ago

Job description

Data Engineer, Data Platform
About the Role
We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects.
If you're a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma's mission, let's chat!
What You Will Be Doing
  • Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)
  • Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
  • Partner with our infrastructure engineering team to ensure high availability of all key data assets
  • Build and scale our data governance policies
  • Work cross functionally to accomplish all of the above! You'll work across Product, Engineering, GTM-with users of all skills and levels
Qualifications We Need
  • Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
  • Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
  • Experience deploying data governance frameworks with a scalable and repeatable process
  • Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
  • 3+ years of relevant experience working in a data engineering role
  • Startup experience
Qualifications We Want (also, skills you'll learn!)
  • A drive to continuously learn (and share those learnings) about the evolving data ecosystem
  • Familiarity with dbt
  • Advanced knowledge python knowledge
  • Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
  • Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Job details
The base salary range for this position is $140k - $180k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
  • Equity
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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