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Internship Startup Data Engineer Jobs (NOW HIRING)

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

... internships, bootcamps, or self-directed project work. • Must be located in the United States. • 1+ years of hands-on data engineering or software engineering experience, including internships ...

This is a highly impactful role for an experienced data engineer who wants to own critical data infrastructure at a rapidly growing startup. You'll work on complex healthcare and regulatory datasets ...

Senior Data Engineer

$108K - $147K/yr

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for ... As a Senior Data Engineer, you will bring your expertise in data engineering and ML Ops to help the ...

Data Engineer

Columbia, MD · Remote

$113K - $136K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Laurel, MD · On-site

$160K - $200K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Elkridge, MD · On-site

$160K - $200K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Columbia, MD · On-site

$160K - $200K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

The Role We're looking for a Data Engineer to join our Engineering team and help architect, build ... Bias for automation, clear documentation, and fast iteration in a startup environment Bonus points ...

Data Engineer

Hayward, CA · On-site

$120K - $150K/yr

... Valley-based startup. Veev has developed a vertically integrated approach that involves ... As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision ...

Data Engineer

Hayward, CA · On-site

$120K - $150K/yr

... Valley-based startup. Veev has developed a vertically integrated approach that involves ... As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision ...

Lead Data Engineer

$117K - $140K/yr

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 modern data ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

The Data Engineer will build the data foundation that powers Auger's Supply Chain OS, transforming ... Auger is a logistics software startup that integrates with inventory management systems to provide ...

Data Engineer

San Francisco, CA · On-site

$145K - $190K/yr

We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ... Experience working at an early stage startup. * Experience in a HIPAA compliant environment.

New

We're hiring a Graduate Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and ... SaaS startup (internships count) * Experience building or presenting custom demos * Data stack ...

We're hiring a Graduate Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and ... SaaS startup (internships count) * Experience building or presenting custom demos * Data stack ...

New

We're hiring a Graduate Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and ... SaaS startup (internships count) * Experience building or presenting custom demos * Data stack ...

Data Engineer

$165K - $205K/yr

We are looking for a Data Engineer to join our data platform team and help us execute, automate ... You've worked in a rapidly scaling startup handling complex, multi-tenant B2B SaaS data. * You have ...

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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:
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

Neighbor

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

At Neighbor, we're building the largest hyperlocal marketplace the world has ever seen. We've raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting started!
As a Data Engineer, you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
This engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
Primary Responsibilities
  • Design, implement, and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity, reusable data models
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs)
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value
  • Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary-performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
  • Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy

Qualifications
  • 3+ years of experience in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Strong command of at least one major programming language used for data processing
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Experience applying scientific, mathematical, or statistical techniques to analyze data and build predictive models
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa

Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7

About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at [email protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.