2

Full Time Startup Data Engineer Jobs (NOW HIRING)

Data Engineer

Redwood City, CA · On-site

$140.20K - $168.30K/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 ...

Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/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 ...

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... or medium, fast-growing startup. Perks and Benefits (Full-time Employees) * Competitive ...

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... or medium, fast-growing startup. Perks and Benefits (Full-time Employees) * Competitive ...

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 ...

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 ...

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 ...

Data Engineer

Cupertino, CA

$141.30K - $169.60K/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 ...

Data Engineer

Sunnyvale, CA · On-site

$134.40K - $161.40K/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 ...

Data Engineer

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Data Engineer

Austin, TX · On-site +1

$113.50K - $136.30K/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 ...

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 ...

Senior Data Engineer

$108.50K - $147.40K/yr

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for ... For full-time positions: * Competitive salary packages * Equity * Home office stipend

Data Engineer

Austin, TX · On-site +1

$113.50K - $136.30K/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 ...

Data Engineer

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

They are seeking an experienced Data Engineer to help replace manual processes with data-driven ... of a startup or other entrepreneurial environment • Experience using Amazon Web Services • ...

Data Engineer

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

The Data Engineer will be responsible for leading the data lifecycle strategy and improving data ... of a startup or other entrepreneurial environment • Experience using Amazon Web Services • ...

Data Engineer

Boston, MA · Hybrid

$150K - $250K/yr

... stage startup (Nice-to-have) Proficient in SQL and Python (Mandatory) Expert with modern data ... This Data Engineer role is a great fit for someone who loves pipeline orchestration and wants to ...

Staff Data Engineer

Manhattan, NY · On-site

$193K - $242K/yr

Thrive in a fast-paced, in-office-first startup environment Salary RangeUSD $193,000.00/Yr. - USD ... Employee Referral Bonus Amount$1,500Employment Type: FULL_TIME

next page

Showing results 1-20

Full Time Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time startup data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for full time 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 the difference between Full Time Startup Data Engineer vs Full Time Corporate Data Engineer?

AspectFull Time Startup Data EngineerFull Time Corporate Data Engineer
Work EnvironmentFast-paced, dynamic, smaller teamsStructured, larger teams, established processes
Required SkillsVersatile, hands-on with multiple tools, adaptabilitySpecialized, focus on specific data systems and compliance
Employer & Industry UsageStartups, tech companies, early-stage venturesLarge corporations, finance, healthcare, tech giants
CertificationsLess formal, practical experience valuedOften requires certifications like AWS, GCP, or data-specific credentials

Full Time Startup Data Engineers typically work in fast-paced environments requiring versatility and adaptability, while Corporate Data Engineers focus on specialized skills within structured settings. Both roles demand strong data engineering fundamentals but differ in scope, environment, and certification expectations.

More about Full Time Startup Data Engineer jobs
What cities are hiring for Full Time Startup Data Engineer jobs? Cities with the most Full Time 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 Full Time Startup Data Engineer jobs? States with the most job openings for Full Time Startup Data Engineer jobs include:
What job categories do people searching Full Time Startup Data Engineer jobs look for? The top searched job categories for Full Time Startup Data Engineer jobs are:
Infographic showing various Full Time Startup Data Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 44% Full Time, and 55% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% 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

$140.20K - $168.30K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 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.