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Entry Level Startup Data Engineer Jobs (NOW HIRING)

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

Associate Data Engineer 2027

Austin, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex ...

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex ...

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 ...

About the Role We're hiring a Staff Data Engineer to own the pipelines that move patient data ... Startup experience, where you have built from scratch at an early-stage company and treated ...

New

About the Role We're hiring a Staff Data Engineer to own the pipelines that move patient data ... Startup experience, where you have built from scratch at an early-stage company and treated ...

New

Sales Engineer (NYC)

New York, NY · On-site

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... Wear many hats - it's a startup, you'll touch every stage of the sales cycle How you'll operate

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... Wear many hats - it's a startup, you'll touch every stage of the sales cycle How you'll operate

Sales Engineer (NYC)

New York, NY · On-site

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... Wear many hats - it's a startup, you'll touch every stage of the sales cycle How you'll operate

Showing results 41-60

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 Aug 21, 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.

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:

Infographic showing various Entry Level Startup Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer II , GTMO DATA

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,105 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive.

At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries.

Unlock your career potential.
Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world.
Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be used in reporting and to drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems

You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modelling metadata, building reports and dashboards, integrating data across disparate & distributed systems and administering the platform software. You are expected to analyze challenging Business Problems and build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You will also have an opportunity to build/maintain/enhance small to mid-size custom built Applications using Python/Java.

You are required to support and manage growth of these data solutions. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
Key job responsibilities
As a Data Engineer in Amazon Business team, you will be working in one of the world's largest cloud-based data lakes

You should be skilled in the architecture of Enterprise data warehouse solutions using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.

Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US