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Full Time Startup Data Engineer Jobs (NOW HIRING)

Serval Inc

Data Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Early-stage startup experience or a track record of zero-to-one development. * Degree in Computer Science or a related engineering field. What We Offer * Impact : Be a key player in shaping the ...

Ambience Healthcare

Senior Data Engineer

San Francisco, CA · On-site

$200K - $250K/yr

We're backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins ... As a Senior Data Engineer, you'll build and run the pipelines that ingest clinical and operational ...

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:

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 ...

Allocate

Sr. Data Engineer II

Palo Alto, CA · On-site

$145K - $220K/yr

As a fintech startup on a mission to make investing in top-tier private markets more accessible, we ... Employment: Full-time * Seniority: Mid-level professional * Salary: Total compensation may also ...

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 ...

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 ...

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 ...

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 ...

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 ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

This is a full-time position with a full benefit package listed below that includes opportunities ... Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more ...

Base Power Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the ... Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may ...

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 ...

Vast

Senior Data Engineer

Long Beach, CA

$143K - $203K/yr

This will be a full-time , exempt position located in our Long Beach location. Responsibilities ... Proven ability to balance strategic vision with tactical execution in fast-paced startup ...

Matterworks, Inc

Data Engineer

Somerville, MA · On-site

$125K - $150K/yr

A passion for contributing to an early-stage startup where autonomy, eagerness to learn, and ... Compensation and Benefits Matterworks offers full-time employees a competitive base salary, stock ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

City of New York

Data Engineer

Manhattan, NY · On-site

$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 ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Analytical thinker with experience working in a fast-paced, startup environment. * Technical ... It is a full-time, in-office role. Additional Company DetailsWe do not accept unsolicited resumes ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

City of New York

Data Engineer

Manhattan, NY · On-site

$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 Jobsstartup Jobsfull time 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 Sep 6, 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.

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What cities are hiring for Full Time Startup Data Engineer jobs?

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What are the most commonly searched types of Startup Data Engineer jobs?

The most popular types of Startup Data Engineer jobs are:

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States with the most job openings for Full Time Startup Data Engineer jobs include:

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Full Time Startup Data Engineer jobs near you
Infographic showing various Full Time Startup Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Serval Inc

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Posted 8 days ago

Job description

Who We Are
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end - replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don't just respond to requests - they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we're building the universal AI operations layer - a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
We're backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
Role Overview
As a Data Engineer at Serval, you'll be our first dedicated data hire, which means you'll own the entire data stack from day one and build the data function that serves the whole business. Right now our data lives across many systems for many teams: in-product, CRM, marketing, billing, support, finance, and more. Your first job is to consolidate all of it into a single, well-modeled warehouse the company can actually use, then build the pipelines, models, and self-serve layer that make that data trustworthy and accessible to every team. You will be a close partner with business and product stakeholders to identify and define the gold-standard metrics for the business, and be responsible for building the underlying systems to track them at high scale.
You'll set the patterns, choose the tools, and make the build-versus-buy calls that hold as we scale. You'll work closely with Engineering, Product, and our go-to-market and operations teams to make sure the data infrastructure serves both internal decision-making and the product itself. Beyond building the infrastructure, you'll be a critical partner to the business, working to understand what teams are really asking and delivering the answers that move them in the right direction.
What You'll Do
  • Stand up our first unified data warehouse and own it end to end: modeling, pipelines, data quality, and performance, treating it like a product the whole company can rely on.
  • Partner with teams across the business to turn ambiguous questions into clear requirements and metrics the whole company aligns on.
  • Consolidate data from our production Postgres databases and SaaS systems (product usage, CRM, marketing, billing, support, finance) into a single source of truth, and push clean data back into the tools teams work in.
  • Design clean, performant data models with clear lineage, standardized nomenclature, and well maintained documentation to support self-serve BI.
  • Build internal data tools with applied AI, using Serval's own agents to turn recurring data questions into self-serve answers.
  • Own data quality, governance, and security from day one, so it's built in rather than bolted on later.
  • Make the vendor, tooling, and architecture calls for the data stack, keeping it lean and cost-aware.
  • Define the data engineering practices and standards the future team will build on.

What You'll Need
  • 5+ years of experience in data engineering and business analytics, with hands-on experience building and maintaining data warehouses and pipelines.
  • Expert SQL, including hands-on experience with PostgreSQL, and strong Python for pipeline development, scripting, and tooling.
  • Experience standing up a modern data warehouse or lakehouse from scratch (Snowflake, Databricks, or comparable) and building the ETL/ELT pipelines transform data into usable production databases using a modern stack (e.g.m Fivetran, DBT).
  • Hands-on experience with AWS and infrastructure as code (Terraform) for managing cloud data infrastructure.
  • Track record of owning data projects end to end and exercising sound judgment independently, ideally as an early or first data hire.
  • Strong product intuition and business curiosity: you can translate business questions into clean, usable data models, know what's worth measuring, and collaborate with a wide variety of technical & non-technical stakeholders.
  • Comfortable with the pace and ambiguity of a fast-growing startup environment.

Nice to Have
  • Experience building internal data tools or agents with LLMs.
  • Familiarity with modern data-stack tooling for orchestration, transformation, and streaming.
  • Familiarity with our stack: Go, gRPC, React, TypeScript, Kubernetes, AWS, and Terraform.
  • Experience setting up self-serve analytics layers.
  • Early-stage startup experience or a track record of zero-to-one development.
  • Degree in Computer Science or a related engineering field.

What We Offer
  • Impact: Be a key player in shaping the success of our product and company.
  • Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
  • Culture: Join a culture that values innovation, ownership, accountability, and fun.

Apply