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Entry Level Startup Data Engineer Jobs (NOW HIRING)

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 ...

Varsitybrands

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

Varsity Brands

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

MDAEdge

Mid-Level Data Engineer

$117K - $140K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Mid-Level Data ... in startup environments is a plus Company : The world doesn't have a talent shortage. It has a ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated focus on military clients in the Defense & Security segment. You will collaborate with cross ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated focus on military clients in the Defense & Security segment. You will collaborate with cross ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$109K - $131K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated focus on military clients in the Defense & Security segment. You will collaborate with cross ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$60K - $90K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated focus on military clients in the Defense & Security segment. You will collaborate with cross ...

Percepta

Founding Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Strong experience around some combination of Data Science, Data Engineering, Machine Learning. * A ... Prior startup, founding, or forward-deployed experience We're working against an incredibly ...

HexArmor

Data Engineer I

Grand Rapids, MI

$110K - $132K/yr

SUMMARY Data Engineer I is an entry-level role designed for individuals early in their data engineering career. This position focuses on supporting HexArmor's core data platforms and gaining hands-on ...

New

Matterworks, Inc.

Data Engineer

Somerville, MA · On-site

$125K - $150K/yr

Position Overview Matterworks is seeking a Data Engineer to build and run the pipelines behind our ... A passion for contributing to an early‑stage startup where autonomy, eagerness to learn, and ...

Matterworks, Inc

Data Engineer

Somerville, MA · On-site

$125K - $150K/yr

Position Overview Matterworks is seeking a Data Engineer to build and run the pipelines behind our ... A passion for contributing to an early-stage startup where autonomy, eagerness to learn, and ...

TransMarket Group

Junior Data Engineer

Chicago, IL · On-site

... also is like a startup because the potential of our group is at least one order of magnitude ... Description Our Data Engineering team designs, builds, and supports the data systems that power our ...

TransMarket Group

Junior Data Engineer

Chicago, IL · On-site

... also is like a startup because the potential of our group is at least one order of magnitude ... Description Our Data Engineering team designs, builds, and supports the data systems that power our ...

Parisi Labs

Senior engineering work at an AI startup, data company, infrastructure company, or frontier-model-adjacent product. * Experience with Python, TypeScript, Go, model-serving systems, data workflows ...

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 ...

Fervo Energy Company

I&C Commissioning Internship

Houston, TX · On-site

$18.25 - $23.75/hr

... the engineering, commercial, and corporate teams driving Fervo's growth. You'll support Cape ... Analyze ORC startup historian data to support alarm rationalization and cleanup * Assist with ...

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 ...

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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 Sep 13, 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 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 are some common challenges faced by entry level startup data engineers, 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 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.

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Entry Level Startup Data Engineer jobs near you
Infographic showing various Entry Level Startup Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

San Francisco, CA • Remote

Swish Analytics
Spectator Sports • 1 - 10 employees
Learn more about Swish Analyticsexternal

$160K/yr

Full-time

Re-posted 23 days ago

Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 2+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.