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Full Time Startup Data Engineer Jobs (NOW HIRING)

Jellyfish

Data Engineer

$165K - $205K/yr

We are looking for a Data Engineer to join our data platform team and help us execute, automate ... You've worked in a rapidly scaling startup handling complex, multi-tenant B2B SaaS data. * You have ...

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 ... Compensation For Full-Time (Salary) US based applicants: $180,000/year to $260,000/year + benefits ...

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 ...

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 · 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

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 ...

Vivian Health

Data Engineer

$140K - $170K/yr

Our accolades include BuiltIn's awards for "Fully Remote Best Startup," "Fully Remote Best Places ... This range is based on a full-time schedule. Unfortunately we are not able to offer any visa ...

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 ...

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

Washington, DC · On-site

$129K - $155K/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

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 ...

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 ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... full-time experience related to datacenter engineering and operations, cloud engineering and ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... full-time experience related to datacenter engineering and operations, cloud engineering and ...

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All JobsFull Time Startup Data Engineer Jobs

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 Jul 3, 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:
Full Time Startup Data Engineer jobs near you
Infographic showing various Full Time Startup Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 96% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Jellyfish

Remote

$165K - $205K/yr

Full-time

Posted 5 days ago

Job description

Jellyfish is the backbone for elite engineering organizations, and our data pipelines need to be as high-performing and reliable as the teams we serve. We are looking for a Data Engineer to join our data platform team and help us execute, automate, and maintain the next generation of our Jellyfish data platform. In this role, you'll be a core builder-fully autonomous, highly proficient, and responsible for translating architectural blueprints into clean, production-grade pipelines. If you view manual data patches and unmonitored workflows as bugs to be squashed and want to write code that directly impacts how the world's best engineering leaders measure their output, you're the perfect fit.
What you'll actually be doing:
  • Core Pipeline Engineering - You'll write the clean, modular Python and optimized SQL that drives our daily data transformations. You will be responsible for implementing our Medallion-layer data models (Bronze → Silver → Gold), ensuring high performance and data integrity.
  • Modern Orchestration & Tuning - You'll manage and tune our workflow orchestration engines (like Prefect or Dagster). You'll hunt down slow execution paths, optimize parameter serialization (e.g., leveraging Pydantic v2), and ensure our distributed processing jobs run efficiently.
  • Infrastructure as Code (IaC) - You won't just write data scripts; you'll own your infrastructure deployment. You will use Terraform to manage and provision data warehouse schemas, permissions, and tables across securely isolated staging and production catalogs.
  • API & Caching Integration - You'll collaborate with product developers to expose data safely. You'll help implement and maintain the application backend tiers, backend-for-frontend (BFF) layers, and Redis caching structures that protect our core data warehouse from frontend concurrency spikes.
  • On-Call & Pipeline Observability - You'll participate in our data platform's incident response rotation. When a pipeline breaks, you won't just fix the data; you'll refine the Datadog dashboards and alerts to ensure we catch the issue earlier next time.
You're a great fit if:
  • Data Engineering Fluency - You have solid, hands-on production experience with Python, advanced SQL, and data transformation concepts. You are comfortable building and scheduling workflows using programmatic orchestrators (such as Prefect, Dagster, or Airflow).
  • Warehouse & Catalog Practitioner - You know your way around enterprise data platforms (e.g., Snowflake, Databricks, BigQuery). You understand how to navigate environment boundaries, manage access keys securely, and write performant queries.
  • Automation Mindset - You look at a repeated data backfill, a manual schema fix, or an untracked data quality bug and immediately think about how to script a permanent, automated solution.
  • Collaborative Builder - You love working in a team. You write readable code, value thorough documentation and clear data lineage, and enjoy collaborating with application engineers to solve complex data delivery problems.
  • Pragmatic Problem Solver - You know when to write a perfectly optimized distributed processing job and when a simple, well-indexed database table or cached view is the smartest move to keep the business moving.
Bonus Points:
  • You've worked in a rapidly scaling startup handling complex, multi-tenant B2B SaaS data.
  • You have experience with data quality testing frameworks (like Great Expectations or Soda).
  • You've interacted with cloud cost allocation tracking or token-level spend for LLM/AI model integrations.

A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.
Occasional travel may be required.
Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Let's talk about us!
This is all about you, but you want to know a little about us. Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry's deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what's driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance.

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