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Startup Data Engineer Jobs (NOW HIRING)

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 ...

Regard

Data Engineer

Los Angeles, CA · Remote

$140K - $175K/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 · Remote

$140K - $175K/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

$140K - $175K/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 ...

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 ...

Regard

Data Engineer

San Francisco, CA · Remote

$140K - $175K/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 ...

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 ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

They are seeking a Data Engineer to build and maintain data ingestion systems, ensure data quality ... startup or high-growth technology environment. • We expect engineers to leverage AI tools ...

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 ...

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 ...

IQ Clarity

MySQL Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Our client, a restaurant-focused startup company, is looking for a Sr. MySQL Engineer to join their ... You will be responsible for building data models, visualizations, and charts, as well as ...

Promise

Data Engineer

San Francisco, CA · On-site

$150K - $210K/yr

... startup. About the Role At Promise, we rely on data for every decision we make - from product and engineering to operations, finance, and everything in between. As our newest Data Engineer, you'll ...

Promise

Data Engineer

San Francisco, CA · Remote

$150K - $210K/yr

... startup. About the Role At Promise, we rely on data for every decision we make - from product and engineering to operations, finance, and everything in between. As our newest Data Engineer, you'll ...

Promise

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... startup. About the Role At Promise, we rely on data for every decision we make - from product and engineering to operations, finance, and everything in between. As our newest Data Engineer, you'll ...

Artisan

Staff Data Engineer

New York, NY · On-site

$200K - $300K/yr

Role overview You'll be the first Data Engineer on the Artisan team! We're managing a database of ... Bonus: startup experience Interview process * Introductory chat with our recruiter * 1 hour ...

Whatnot

Data Engineer

San Francisco, CA · On-site

$180K - $260K/yr

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer ... As our newest Data Engineer , you'll build and scale the systems that power data-driven decisions ...

Pattern AI

Senior Data Engineer

San Mateo, CA · On-site +1

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Vivian Health

Data Engineer

$140K - $170K/yr

Our accolades include BuiltIn's awards for "Fully Remote Best Startup," "Fully Remote Best Places ... Vivian Health is searching for a software engineer to join the data team. The Data Team plays a ...

Pattern AI

Senior Data Engineer

San Mateo, CA

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

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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 Jul 3, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

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 engineers make $300,000 a year?

Senior data engineers, especially those working at large tech companies or in specialized industries, can earn $300,000 or more annually. High salaries often require extensive experience, advanced skills in cloud platforms, data architecture, and programming, as well as a strong track record of managing complex data systems.

Do startups hire data engineers?

Yes, startups often hire data engineers to build and maintain data pipelines, manage large datasets, and support data-driven decision-making. These roles typically require skills in SQL, cloud platforms, and data processing tools like Apache Spark or Hadoop, and they are essential for startups aiming to leverage data for growth and innovation.

What engineer makes $500,000 a year?

A startup data engineer can earn $500,000 annually, especially at senior levels or in high-growth companies, often including bonuses and stock options. Achieving this salary typically requires extensive experience, advanced skills in data architecture, and a strong understanding of cloud platforms and big data tools.

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 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.

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Startup Data Engineer jobs near you

Data Engineer

Elve Inc

Davis, CA • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 16 hours ago

Job description

Who is Elve?
Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and manufacturing of high-efficiency lightweight millimeter-wave and near-THz RF power amplifiers. Our groundbreaking technology enables 100x faster wireless internet access in urban settings and remote locations, revolutionizing the future of wireless connectivity well beyond 5G. We are looking for engineers to join our team and contribute to the advancement of our technology. If you are passionate about RF electronics, precision assembly, manufacturing data and informatics, and working on cutting-edge technology, then we want to hear from you!
Job Description
This role focuses on using data, analytics, and AI to analyze and use that knowledge to improve manufacturing performance, test coverage, and operational decision-making. The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools, and AI-enabled automation of data collection, processing, and interpretation to increase throughput, yield, and reliability across production and test systems.
This is a highly hands-on role. The ideal candidate is comfortable building automation, working directly with manufacturing data, test systems, hardware, production operator teams, and engineers on the manufacturing floor, not operating solely as an analyst or researcher.
Key Responsibilities
  • Design and deploy data inputs, structure and implement databases, and apply data processing and analysis to record, post, and interpret manufacturing data from test equipment, IoT devices, and manufacturing systems
  • Support root cause analysis and improvement initiatives using data-driven methods
  • Partner with manufacturing and test engineers to improve test throughput, data quality, and logging standards, including by developing dashboards and alerts for process health and statistical process control
  • Build and deploy automation and agentic AI tools to reduce manual analysis, triage issues, and support decision-making

Requirements
Required Qualifications
  • Strong background in data pipeline definitions and streamlining, data analysis, statistics, database design and implementation, API calls, and applied data analysis
  • Experience with Python for data processing and automation
  • Familiarity with SPC, manufacturing data, or industrial analytics
  • Experience integrating data from test systems, sensors, or IoT sources
  • Enthusiasm to participate in on-floor troubleshooting and hardware/sensor validation
  • Ability to translate ambiguous operational problems into practical technical solutions

Preferred Qualifications
  • 3+ years of experience in relevant roles in a commercial setting
  • Experience deploying AI or agentic systems in production or operational environments
  • Exposure to manufacturing, hardware, or test automation environments
  • Experience working in fast-moving venture-backed companies

Benefits
Benefits Include:
  • The salary range for this position is $85,000 to $150,000 annually
  • Health benefits (medical, dental, vision)
  • Vacation
  • A taste of the start-up life
  • Exposure to cutting-edge technology in vacuum electronics, materials science, and additive manufacturing

What it's like to work at Elve
We are an expanding team, on a mission to bring the next generation of high-speed wireless connectivity to a billion people worldwide. That kind of impact is not going to be achieved with incremental improvements- we are gunning for orders of magnitude advances in production capability, cost, size, and power in the mm-wave RF amplifier market. We work really hard, make sure we get good sleep, we handle conflict intentionally, and we expect great things from each other.

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