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Startup Data Engineer Jobs (NOW HIRING)

GridCARE

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact. We are looking for a Data Engineer with hands-on experience in ...

Clasp Group, Inc

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Data Engineer Location: Boston, MA Open to Remote in EST or CST Locations About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are ...

The Cypress Group

Data Engineer

New York, NY

$150K - $300K/yr

Our client is an AI-powered Healthtech software startup in New York City, NY building ... The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT ...

TabaPay

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

They are seeking an experienced Data Engineer to develop and manage scalable data systems, ensuring ... startup. • BS or advanced degree in Computer Science, Mathematics, Computer Engineering, or a ...

Gridmatic

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Conscia Talent

Data Engineer

Manhattan, NY · Remote

$126K - $151K/yr

... Startup or high-growth environment experience with Terraform, dbt, Fivetran, HevoData, or Airflow ... Data Engineer jobs in United States . #J-18808-Ljbffr

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... You get to experience the 0-1 of building a startup, working with talented engineers from ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

You will be collaborating with a small team of seasoned engineers in a fast-moving startup ... data pipelines and services to delight customers - Owning major projects from inception to ...

ALT.com

Data Engineer

Manhattan, NY · On-site +1

$155K - $165K/yr

The Role Are you a data engineer who thrives on building robust pipelines and solving complex data ... Thrive in a startup environment where you can make immediate impact and own critical systems ...

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

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 ...

Atticus Inc

Lead Data Engineer

Manhattan, NY · On-site

$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 ...

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 ...

Govini

Data Engineer

Pittsburgh, PA

$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

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All JobsStartup Data Engineer Jobs

Startup Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do startup data engineer jobs pay per year?

As of Jun 5, 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 is a Startup Data Engineer job?

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.

What are the key skills and qualifications needed to thrive in the Startup Data Engineer position, and why are they important?

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 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.
More about Startup Data Engineer jobs
What cities are hiring for Startup Data Engineer jobs? Cities with the most Startup Data Engineer job openings:
What are the most commonly searched types of Startup Data Engineer jobs? The most popular types of Startup Data Engineer jobs are:
What states have the most Startup Data Engineer jobs? States with the most job openings for Startup Data Engineer jobs include:
What job categories do people searching Startup Data Engineer jobs look for? The top searched job categories for Startup Data Engineer jobs are:
Startup Data Engineer jobs near you
Infographic showing various Startup Data Engineer job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

GridCARE

Redwood City, CA • On-site

$140K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago

Job description

About Us
GridCARE solves data center developers' most urgent bottleneck - immediate access to power - through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term capacity from today's grid. Partnering with utilities, GridCARE applies a proprietary playbook to create additional network capacity on existing transmission infrastructure without costly upgrades or multi-year delays. Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is working with major technology and data center companies to accelerate interconnection requests for large-load and data center projects.
As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact.
Job Description
We are looking for a Data Engineer with hands-on experience in data ingestion into cloud environments, finding and retrieving new datasets, and performing analysis on various data types, including time-series and non-relational data. In this role, you'll streamline data processes, ensure data quality and accessibility, and collaborate with UI/UX and AI leads to leverage data for innovative solutions.
This is a unique opportunity to combine deep data engineering and scientific expertise with cutting-edge AI solutions applied to solve the most impactful speed to power in the energy industry.
Responsibilities
  • Design and implement data ingestion pipelines into cloud environments, ensuring efficient and scalable data pipelines.
  • Identify, find, and integrate new datasets from various sources, both internal and external.
  • Analyze time-series and non-relational data, extracting valuable insights.
  • Build robust, reusable code to automate data workflows, ensuring reproducibility and scalability.
  • Collaborate with software engineers and domain experts to streamline data processes and improve accuracy.
  • Evaluate data storage and processing resources, including cloud-native solutions.
  • Stay engaged with the latest data engineering and science news, standards, and emerging AI-driven solutions in data management.

Qualifications
Required
  • Bachelor's or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field.
  • Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
  • Strong coding skills in Python, SQL, including experience with data manipulation libraries (e.g., Pandas, NumPy) and database interaction and version control (git).
  • Ability to write well-documented, tested, and maintainable code.
  • Conduct code reviews and contribute to continuous integration and deployment workflows.
  • Strong understanding of data modeling, ETL processes, and data governance.
  • Knowledge of time-series analysis techniques and non-relational database concepts.
  • Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment.

Preferred
  • 2+ years of experience in data engineering, data science, or related areas.
  • Experience integrating and tuning 3rd party AI agents.
  • Able to leverage AI code development tools such as Cursor, Copilot, and Claude Code to accelerate development.
  • Experience working with energy data, including Virtual Power Plants (VPPs), batteries, and control systems.
  • Experience with Kubernetes, Terraform, Helm charts and deploying data applications in the cloud.
  • Familiar with DevOps pipelines, tools, and requirements.

What We Offer
  • Competitive salary and equity.
  • Comprehensive benefits package: 401k, healthcare, dental, vision, etc.
  • Hybrid work environment with catered lunches and snacks.
  • The chance to work at the intersection of AI, automation, and data systems alongside experienced engineers and leading researchers.
  • A mission-driven team focused on shaping the future of the energy transition.

Join us in tackling one of the most important infrastructure challenges of our time - enabling the energy foundation for the age of AI.

Apply