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Internship Startup Data Engineer Jobs in Seattle, WA

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/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 ...

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development ...

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

... internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions ...

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 ...

Amazon

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time. We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 3+ years ...

Amazon

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time. We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 3+ years ...

Amazon

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 ...

Amazon

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time. We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 3+ years ...

Xealth

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

This role offers a unique opportunity to join a data engineering team to advance our capabilities ... Comfortable working in an agile startup environment, balancing quality with rapid iteration. Highly ...

Xealth

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

This role offers a unique opportunity to join a data engineering team to advance our capabilities ... Comfortable working in an agile startup environment, balancing quality with rapid iteration. Highly ...

Xealth

Software Engineer, Data Platform

Seattle, WA · On-site

$130K - $156K/yr

This role offers a unique opportunity to join a data engineering team to advance our capabilities ... Comfortable working in an agile startup environment, balancing quality with rapid iteration. Highly ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Docugami is a Seattle-area document engineering startup that transforms how businesses create and ...

Xealth

Software Engineer, Clinical Data

Seattle, WA · On-site

$130K - $156K/yr

They are seeking a Software Engineer to design, build, and scale services that enhance EHR ... Preferred : • Prior experience in a healthcare startup or health data integration platform with ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Docugami is a Seattle-area document engineering startup that transforms how businesses create and ...

Auger

Data Scientist - Supply Chain

Bellevue, WA · On-site

... applied science and data engineering: translate scientific requirements into engineering ... Auger is a logistics software startup that integrates with inventory management systems to provide ...

Xealth

Software Engineer, Clinical Data

Seattle, WA · On-site

$130K - $156K/yr

Prior experience in a healthcare startup or health data integration platform with knowledge of FHIR ... Software Engineering Expertise: 3+ years of professional experience building production software ...

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All JobsStartup Data Engineer JobsInternship Startup Data Engineer JobsInternship Startup Data Engineer Jobs in Seattle, WA

Internship Startup Data Engineer information

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

As of Aug 15, 2026, the average hourly pay for internship startup data engineer in Seattle, WA is $28.93, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $32.84 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.

What are the most commonly searched types of Startup Data Engineer jobs in Seattle, WA?

The most popular types of Startup Data Engineer jobs in Seattle, WA are:

What are popular job titles related to Internship Startup Data Engineer jobs in Seattle, WA?

For Internship Startup Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Internship Startup Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Internship Startup Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Internship Startup Data Engineer jobs?

Cities near Seattle, WA with the most Internship Startup Data Engineer job openings:

Internship Startup Data Engineer jobs near you
Infographic showing various Internship Startup Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 5% Internship, 82% Full Time, 5% Part Time, and 8% Contract. Highlights an 65% In-person, 3% Hybrid, and 32% Remote job distribution, with an average salary of $60,164 per year, or $28.9 per hour.

Associate Data Engineer

CyberProof

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
CyberProof is a mission-driven company that focuses on transforming lives through technology. They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data engineering vertical, executing solution designs and building data models and visualizations under guidance.
Responsibilities:
• Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance.
• Land source data into the team's unified ingestion framework using the patterns specified in the design.
• Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
• Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all work, including naming conventions, documentation, and code review practices.
• Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications.
• Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
• Implement unit tests, data quality checks, and reconciliation for assigned work.
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Experience: 1+ years
• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field plus 1+ years of related work experience, OR equivalent demonstrated experience through 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 and academic project work that demonstrate production-quality engineering habits.
• Working proficiency in SQL and Python.
• Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
• Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
• Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
• Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
• Familiarity with Git, code review practices, and basic CI/CD concepts.
• Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
• Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
• Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
Preferred:
• Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
• Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
• Exposure to Iceberg tables or other modern open table formats.
• Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.
• Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming).
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them.
• Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.
Company:
CyberProof is a security services company that intelligently manages your incident detection and response requirements. It is a sub-organization of UST. Founded in 2017, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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