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Internship Startup Data Engineer Jobs (NOW HIRING)

Braintrust

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You have worked at a high-growth startup where the data function was still being built. * You have experience with enterprise and self-serve revenue motions. * You have worked with usage-based ...

Cross Screen Media

Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/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 ...

Horizon Surgical Systems

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... This is an exciting opportunity to join a high-tech startup that is poised to revolutionize ...

Air

Data Engineer

Pittsburgh, PA · On-site

$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

Cross Screen Media

Data Engineer

Austin, TX · On-site

$113K - $136K/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 ...

Horizon Surgical Systems, Inc.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... This is an exciting opportunity to join a high-tech startup that is poised to revolutionize ...

Accelint

Data Engineer

Saint Paul, MN · On-site

$101K - $130K/yr

Data Engineer * Full Time * Onsite/Hybrid Preferred Data Engineer provides technical leadership ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ... Mid-Level Data Engineer: * Hands-on experience building and maintaining data pipelines using ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ... Mid-Level Data Engineer: * Hands-on experience building and maintaining data pipelines using ...

Atticus

Lead Data Engineer

Los Angeles, CA

$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 ...

Allocate

Sr. Data Engineer

Palo Alto, CA · On-site

$145K - $220K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... As a fintech startup on a mission to make investing in top-tier private markets more accessible, we ...

New

DataSpring

Data Engineer

$117K - $140K/yr

... including internships or academic projects • Demonstrated success contributing to data ... Engineering, or a related field Preferred : • Azure Data Engineer Associate or related ...

Wynd Labs

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer $100k - $140k Who We Are ... Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI ...

Red Cat Holdings

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... internship (we care about proof you can ship and debug). • Solid engineering habits: Git ... data from APIs and messy SaaS exports (rate limits, pagination, schema drift, deduping). • ...

Merican

Data Engineer

$117K - $140K/yr

Data Engineer Location: San Jose California 95002 Duration: 12 Months Job Type: Temporary ... Experience working in startup environments is a plus. Competencies (Attributes Necessary for ...

Soda Data

Graduate Sales Engineer (Remote)

$80K - $100K/yr

We're hiring a remote Graduate Sales Engineer to work alongside our AEs, CRO and the rest of the ... SaaS startup (internships count) * Experience building or presenting custom demos * Data stack ...

New

Allocate

Sr. Data Engineer

Palo Alto, CA · Remote

$134K - $161K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... As a fintech startup on a mission to make investing in top-tier private markets more accessible, we ...

New

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Internship Startup Data Engineer information

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How much do internship startup data engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for internship startup data engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What does an Internship Startup Data Engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an Internship Startup Data Engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

What are the key skills and qualifications needed to thrive as an Internship Startup Data Engineer, and why are they important?

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.
More about Internship Startup Data Engineer jobs
What cities are hiring for Internship Startup Data Engineer jobs? Cities with the most Internship 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 Internship Startup Data Engineer jobs? States with the most job openings for Internship Startup Data Engineer jobs include:
What job categories do people searching Internship Startup Data Engineer jobs look for? The top searched job categories for Internship Startup Data Engineer jobs are:
Internship Startup Data Engineer jobs near you
Infographic showing various Internship Startup Data Engineer job openings in the United States as of July 2026, with employment types broken down into 13% Internship, 49% Full Time, 13% Part Time, and 25% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Data Engineer

Data Engineer

Braintrust

New York, NY • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 days ago

Job description

About the company
Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it.
Teams at Notion, Stripe, and Vercel use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release.
About the Role
Braintrust is growing quickly across enterprise and self-serve customers, and our internal systems need to scale with us. We need someone who can come in, understand the business, and create the data systems that help us operate with clarity.
This is a hands-on role and, for now, a solo one. You will not be joining a large data team with mature processes already in place. You will be one of the first people building the data layer for our business operations and systems function, which means you should be comfortable moving between architecture, pipelines, data modeling, metrics definitions, dashboards, and day-to-day business questions.
The right person has strong technical depth, understands how GTM teams work, and is excited to build with AI. You should have strong opinions about where agents can automate operational workflows, and the judgment to build the data systems, context, and feedback loops that make those workflows work.
You will partner with Product and Engineering on usage data and event schemas, while working closely with Sales, RevOps, Marketing, and Finance on account health, pipeline, retention, expansion, forecasting, and revenue reporting.
What You Will Do
  • Build and own the core data models that connect product usage, accounts, customers, revenue, pipeline, billing, and customer health.
  • Create trusted sources of truth for the metrics Braintrust uses to run the business, including activation, usage, retention, expansion, pipeline, ARR, and usage-based revenue.
  • Build pipelines across product telemetry, CRM, billing, customer success, marketing, support, finance, and AI-powered internal systems.
  • Partner with Engineering and Product to improve the quality, consistency, and usability of product data.
  • Partner with Sales, RevOps, Marketing, and Finance to turn messy operational questions into durable data models and workflows.
  • Build dashboards, datasets, and self-serve reporting that help teams answer common questions without relying on one-off analysis.
  • Use AI to speed up your own work and identify where agents can reduce manual reporting, enrichment, QA, routing, research, and operational follow-up.
  • Help design the data layer for future AI-native business operations workflows, including clean context, structured inputs, feedback loops, and evaluation of outputs.
  • Improve data quality through testing, monitoring, documentation, lineage, and clear ownership.
  • Support business planning and operating cadence by making sure leadership has accurate visibility into customer usage, GTM performance, and revenue health.
  • Make pragmatic tradeoffs. Some work will be foundational architecture, some will be unblocking urgent business questions, and the job is knowing how to balance both.
About You
  • 10+ years in data engineering, analytics engineering, data architecture, or business systems data roles.
  • Excellent communication skills and ability to work across technical and non-technical teams.
  • Strong experience building data systems in developer tools, infrastructure, AI, or another technical environment.
  • Deep experience with SQL, data modeling, pipelines, orchestration, transformation, and production-grade code.
  • Experience working across product telemetry, CRM, billing, customer health, marketing, support, finance, or other operational systems.
  • Strong understanding of how GTM teams operate, especially Sales, RevOps, Marketing, and Finance.
  • Deep curiosity about AI and a strong point of view on how it will change data engineering, analytics, and business operations.
  • Hands-on experience using AI tools in your own work to write code, analyze data, automate workflows, improve documentation, or accelerate operational tasks.
  • Comfortable designing systems where humans and agents work together, with the right data, context, guardrails, and feedback loops.
  • Comfortable operating as the only data hire in a startup environment, balancing foundational architecture with urgent business needs.
Bonus Points
  • Braintrust user :)
  • You have worked at a high-growth startup where the data function was still being built.
  • You have experience with enterprise and self-serve revenue motions.
  • You have worked with usage-based pricing, consumption models, product-led growth, or sales-assisted funnels.
  • You have built customer health, activation, retention, expansion, forecasting, or revenue intelligence systems.
  • You have supported enterprise sales motions, including account scoring, pipeline analytics, territory planning, renewal workflows, or expansion reporting.
  • You have built or used agents for internal operations, data QA, customer research, enrichment, reporting, or workflow automation.
  • You have experience in AI, developer tools, infrastructure, observability, or data platform companies.
What Success Looks Like
  • Braintrust has a trusted data foundation across product, customer, and revenue data.
  • Sales, RevOps, Marketing, Product, Engineering, and Finance are working from the same definitions and the same core data models.
  • Leadership can understand customer adoption, product usage, pipeline, retention, expansion, and revenue health without needing a one-off analysis every time.
  • Product and GTM teams can see where customers are getting value, where usage is growing, and where there may be risk.
  • AI is used as a real operating layer across the business, not as a side experiment.
  • The data stack is simple enough for a startup, strong enough for enterprise scale, and ready for the business operations and systems team we will build around it.
Benefits include
  • Medical, dental, and vision insurance
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity
  • Wifi & cellphone stipend
Equal opportunity
Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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