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Entry Level Data Engineer Internship Jobs in Bellevue, 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 ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

... for entry-level software programmers, Java Full stack developers, Python/Java developers, Data ... analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with ...

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Entry Level Data Engineer Internship information

See Bellevue, WA salary details

$12

$21

$33

How much do entry level data engineer internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level data engineer internship in Bellevue, WA is $21.80, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $23.61 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Engineer Internship vs Data Analyst Intern?

AspectEntry Level Data Engineer InternshipData Analyst Intern
Required CredentialsBasic programming, SQL, understanding of data pipelinesStatistical knowledge, Excel, SQL
Work EnvironmentTech companies, data teams, collaborative projectsBusiness units, reporting, data visualization
Employer & Industry UsageTech, finance, healthcare, startupsMarketing, finance, consulting, retail

Both roles often require SQL and basic programming skills, but Data Engineer Internships focus on building data pipelines and infrastructure, while Data Analyst Internships emphasize data analysis and visualization. The internship choice depends on whether you prefer working on data engineering tasks or data analysis projects within similar industry environments.

What are popular job titles related to Entry Level Data Engineer Internship jobs in Bellevue, WA?

For Entry Level Data Engineer Internship jobs in Bellevue, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineer Internship jobs in Bellevue, WA look for?

The top searched job categories for Entry Level Data Engineer Internship jobs in Bellevue, WA are:

Entry Level Data Engineer Internship jobs near you
Infographic showing various Entry Level Data Engineer Internship job openings in Bellevue, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,342 per year, or $21.8 per hour.

Associate Data Engineer

CyberProof

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 9 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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