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Information Technology, Data Science, Consulting.

Data Engineer Intern

Bellevue, Washington, United StatesOnsiteFull TimeJunior / Entry-level$48,000–$53,760 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Seeking a Data Engineer Intern with 2+ years of experience in data pipeline design, development, and optimization. This 3-month contract role requires expertise in ETL/ELT processes using SSIS, dbt, and Airbyte, along with advanced SQL for query optimization. The intern will work with AWS services like Redshift, S3, and Athena, develop data models, and ensure data quality. Familiarity with Git and CI/CD pipelines is essential for this role, which involves collaborating with cross-functional teams to translate business needs into technical solutions.

We are seeking a skilled Data Engineer Intern with 2+ years of experience in designing, building, and optimizing data pipelines and integration solutions. The ideal candidate will have strong expertise in ETL/ELT processes, SQL optimization, and modern data tools across cloud environments.
Duration - 3 months

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using SSIS, dbt, and Airbyte
  • Build and optimize data workflows to process large datasets efficiently
  • Write complex SQL queries, including joins, CTEs, window functions, and performance tuning
  • Develop and maintain data models and data warehouse architectures
  • Work with AWS services (Redshift, S3, Athena) for data storage, transformation, and analytics
  • Ensure data quality, integrity, and consistency across data pipelines
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Implement and manage version control using Git and support CI/CD pipelines for automated deployments

Qualifications

  • 2+ years of experience in data engineering or related roles
  • Strong experience with SSIS for ETL development and data integration
  • Advanced proficiency in SQL with a focus on performance optimization
  • Hands-on experience with dbt and Airbyte for data transformation and ingestion
  • Experience working with AWS data services, including Redshift, S3, and Athena
  • Solid understanding of data modeling, data warehousing concepts, and scalable architecture design
  • Familiarity with version control systems (Git) and CI/CD practices
  • Strong problem-solving skills and ability to work with large, complex datasets
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