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Internship Startup Data Engineer Jobs (NOW HIRING)

xAI

Data Engineer

Palo Alto, CA · On-site

$134.80K - $161.80K/yr

... software engineering experience (internship experience is applicable) • Experience in ... XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning ...

GridCARE

Data Engineer

Redwood City, CA · On-site

$140.20K - $168.30K/yr

As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact. We are looking for a Data Engineer with hands-on experience in ...

Clasp Group, Inc

Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/yr

Data Engineer Location: Boston, MA Open to Remote in EST or CST Locations About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are ...

The Cypress Group

Data Engineer

New York, NY

$150K - $300K/yr

Our client is an AI-powered Healthtech software startup in New York City, NY building ... The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT ...

Gridmatic

Data Engineer

Cupertino, CA

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA

$141.30K - $169.60K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134.40K - $161.40K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... You get to experience the 0-1 of building a startup, working with talented engineers from ...

UST

Associate Data Engineer

Frisco, TX · On-site

$107.90K - $129.60K/yr

... 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 ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113.50K - $136.30K/yr

You will be collaborating with a small team of seasoned engineers in a fast-moving startup ... data pipelines and services to delight customers - Owning major projects from inception to ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Experience * 5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Experience * 3-5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for ...

TabaPay

Data Engineer

Palo Alto, CA · On-site

$130K/yr

If you are a data engineer who builds durable data systems with long-term scalability in mind, we ... startup. * BS or advanced degree in Computer Science, Mathematics, Computer Engineering, or a ...

Govini

Data Engineer

Pittsburgh, PA · On-site

$111.20K - $133.50K/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

Govini

Data Engineer

Pittsburgh, PA

$111.20K - $133.50K/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 +1

$113.50K - $136.30K/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 ...

Cross Screen Media

Data Engineer

Austin, TX

$113.50K - $136.30K/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 ...

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

As of May 31, 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 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.

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 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 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.

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 May 2026, with employment types broken down into 38% Full Time, 19% Part Time, 40% Contract, and 3% Nights. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Data Engineer

xAI

Palo Alto, CA • On-site

$134.80K - $161.80K/yr

Full-time

Posted 6 days ago

Job description

Job Summary:
xAI is a company focused on creating AI systems that enhance human understanding and knowledge. The Data Engineer role involves developing systems and processes for data acquisition, preparation, and quality evaluation, ensuring that models are trained on high-quality data throughout the training lifecycle.
Responsibilities:
• Analyze the performance and impact of data used throughout the model training lifecycle
• Investigate anomalous model behavior and rigorously identify the data issues that drive poor downstream performance
• Design, build, and improve the data cleaning, transformation, and quality-control steps required to produce high-quality training data
• Research, evaluate, and develop frontier methods for improving data quality and effectiveness in AI model development
• Apply statistical techniques and empirical analysis to make informed, data-driven decisions about dataset quality and model outcomes
• Partner across teams to identify where data needs exist and define the highest-impact opportunities for new data acquisition and improvement
• Build and maintain production-grade data pipelines, tooling, and software systems that ingest, process, validate, and deliver data for training
• Develop metrics, evaluation frameworks, and monitoring systems to assess how data quality influences model behavior at scale
• Fuse data from multiple sources into reliable, usable datasets for research and production model training
• Create shared datasets, tooling, and internal data products that enable other teams to analyze, debug, and improve model performance
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline
• 1+ years of data/software engineering experience (internship experience is applicable)
• Experience in implementing or analyzing language models or neural networks
Preferred:
• Professional experience in analytics, data science, machine learning, or data engineering
• Experience building and operating production data pipelines for neural network or large-scale machine learning workloads
• Strong experience with Python and the broader ecosystem of libraries and tools used in modern machine learning and data development
• Experience working with Parquet or similar columnar storage formats in large-scale data systems
• Familiarity with Kubernetes and distributed production environments
• Experience developing predictive models and machine learning pipelines, including clustering, forecasting, anomaly detection, or related techniques
• Experience working with very large-scale datasets, including terabyte- to petabyte-scale data systems
• Strong statistical intuition and the ability to use quantitative analysis to guide technical and product decision, including familiarity of scaling ladder design studies
• Ability to operate effectively in a dynamic environment with evolving priorities, changing requirements, and fast-moving technical challenges
• Demonstrated ability to take ownership of ambiguous problems, drive projects independently, and develop new expertise where needed
Company:
XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning and search capabilities. It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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