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Data Engineer Internship Jobs in Seattle, WA (NOW HIRING)

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 ...

Truveta

Software Engineering Intern

Seattle, WA · On-site

$20/hr

Software Engineering Intern Truveta is the world's first health provider led data platform with a ... Internship Details Our Engineering Internship is designed for students pursuing an undergraduate or ...

Truveta

Software Engineering Intern

Seattle, WA · Hybrid

$20/hr

Software Engineering Intern Truveta is the world's first health provider led data platform with a ... Internship Details Our Engineering Internship is designed for students pursuing an undergraduate or ...

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Data Engineer Internship information

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How much do data engineer internship jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data engineer internship 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 are the key skills and qualifications needed to thrive in the Data Engineer Internship position, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a Data Engineer Internship job?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a Data Engineer Internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Seattle, WA? The most popular types of Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Data Engineer Internship jobs in Seattle, WA? For Data Engineer Internship jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship jobs in Seattle, WA look for? The top searched job categories for Data Engineer Internship jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Engineer Internship jobs? Cities near Seattle, WA with the most Data Engineer Internship job openings:
Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 14% Part Time, 1% Temporary, and 8% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $60,164 per year, or $28.9 per hour.
Associate Data Engineer

Associate Data Engineer

CyberProof

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 12 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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