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Entry Level Startup Data Engineer Jobs (NOW HIRING)

Atonom

Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under guidance, building your skills across the full data engineering stack while contributing to a modern ...

Kikoff

Senior Data Engineer

San Francisco, CA · On-site

$226K - $254K/yr

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have ... We are looking for a Data Engineer or Analytics Engineer to join our Data team. You will ...

Reup Education

Data Engineer II

Austin, TX · On-site

$115K - $125K/yr

ReUp Education is looking for a Data Engineer II to help us empower more adult learners and ... Experience working in higher education, education technology, and/or a startup. Benefits ...

ECS

Junior Data Engineer

Falls Church, VA · On-site

This is an entry-level engineering position well-suited for early-career professionals seeking hands-on experience in enterprise data engineering within a classified federal environment. • Supports ...

Atonom

AI Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Triumph Arcade, Inc

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Why This Role You'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every ...

Triumph

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Why This Role You'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every ...

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA

$130K - $156K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA

$130K - $156K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and ... Previous consulting or startup environment experience. * Ability to independently handle customer ...

Pear

AI-Native Data Engineer - TrueMeter

San Francisco, CA · On-site

$134K - $162K/yr

AI-Native Data Engineer @ TrueMeter SF Bay Area | Hybrid (3 days onsite, 2 remote) About Us We're ... This is a startup role in the truest sense: priorities change, speed matters, and the impact is ...

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All JobsStartup Data Engineer JobsEntry Level Startup Data Engineer Jobs

Entry Level Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level startup data engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for entry level 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 are some common challenges faced by entry level data engineers at startups, and how can they be addressed?

Entry level data engineers at startups often encounter challenges such as working with rapidly evolving tech stacks, limited documentation, and balancing multiple responsibilities due to smaller teams. Adapting quickly and proactively seeking clarification from team members is key. Building strong communication with software engineers, data scientists, and product managers helps ensure alignment on data requirements and project priorities. Taking initiative to document solutions and automate repetitive tasks can also improve efficiency and contribute to team success.

What does an Entry Level Startup Data Engineer do?

An Entry Level Startup Data Engineer is responsible for building and maintaining the data infrastructure that supports a startup's analytics and business operations. They typically work with databases, data pipelines, and cloud platforms to collect, process, and store data from various sources. Their tasks often include cleaning and transforming raw data, ensuring data quality, and assisting data analysts or scientists by providing them with reliable datasets. Because startups often have smaller teams, entry-level data engineers may also take on a variety of technical tasks and collaborate closely with software engineers and product managers. This role is ideal for those looking to gain broad experience in data engineering within a fast-paced, innovative environment.

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

To thrive as an Entry Level Startup Data Engineer, you need a solid understanding of programming languages like Python or SQL, data modeling, and a relevant degree such as computer science or engineering. Familiarity with data pipelines, cloud platforms (e.g., AWS, Google Cloud), and tools like Apache Spark or ETL systems is typically required. Strong problem-solving abilities, adaptability, and effective communication skills help you excel in a fast-paced, evolving environment. These competencies are crucial for building reliable data solutions and collaborating well within lean startup teams.

What is the difference between Entry Level Startup Data Engineer vs Data Analyst?

AspectEntry Level Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL, Python, or Spark knowledgeBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentStartups, fast-paced, collaborative, technical focus on data pipelines and infrastructureVarious industries, focus on data interpretation, reporting, and business insights
Employer & Industry UsageTech startups, SaaS companies, e-commerceFinance, marketing, healthcare, retail

Entry Level Startup Data Engineers focus on building data infrastructure and pipelines, requiring technical skills like SQL and Python. Data Analysts interpret data to generate insights, often using visualization tools. While both roles work with data, engineers develop the systems, and analysts analyze data for decision-making.

More about Entry Level Startup Data Engineer jobs
What cities are hiring for Entry Level Startup Data Engineer jobs? Cities with the most Entry Level 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 Entry Level Startup Data Engineer jobs? States with the most job openings for Entry Level Startup Data Engineer jobs include:
What job categories do people searching Entry Level Startup Data Engineer jobs look for? The top searched job categories for Entry Level Startup Data Engineer jobs are:
Entry Level Startup Data Engineer jobs near you
Infographic showing various Entry Level Startup Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 15 days ago

Job description

Salary: $50,000 to $90,000

Data Engineer

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Build and maintain data integrations that power AI Cloud Employees for customers, connecting systems, mapping fields, and helping ensure data quality.
  • Join client calls to understand data environments, source systems, and business requirements, then help translate them into working data flows.
  • Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions.
  • Document data architectures, integration patterns, and technical playbooks for the implementation team.
  • Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.
  • Comfortable getting into the weeds with data. You've written queries, worked with APIs, or built something that involved moving data from one place to another.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data.
  • A clear communicator who can explain data workflows and technical decisions to both engineers and non-technical clients.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.