Data Engineer with SQL, ETL, Databricks, ADF 22764-1
Job Location:
Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Data Engineer
Role Overview
We are looking for high-potential early-career engineers who are strong in fundamentals and comfortable with AI-assisted development.
This role focuses on building scalable data pipelines while learning and growing in a fast-paced cloud-native environment.
We are specifically targeting candidates from top-tier universities or those with internship/work experience at leading technology companies with strong problem-solving and learning ability.
Key Responsibilities
Build and support ETL/ELT pipelines using Databricks dbt Snowflake and Azure Write efficient SQL and Python for data processing and transformations Leverage AI-assisted development tools (Claude Copilot) for coding and debugging
Ensure data quality reliability and pipeline monitoring Collaborate with reporting and engineering teams to meet data needs Participate in Agile/Scrum ceremonies and deliver sprint commitments Support production operations and incident triage
Required Qualifications:
Bachelors degree in Computer Science Engineering or related field
4 to 6 years of experience (including internships or projects)
Strong fundamentals in SQL and Python Familiarity with cloud platforms (Azure preferred) and data concepts
Experience with Git/version control and collaborative development
Exposure to AI coding tools (Claude GitHub Copilot etc.)
Strong communication skills and ability to learn quickly Preferred Profile (Key Differentiator)
Graduates from top-tier universities (e.g. MIT Stanford CMU UC Berkeley or equivalent) OR Candidates with experience/internships at leading tech companies (Amazon Google Meta etc.)
Demonstrated strong problem-solving ability and learning agility even with limited hands-on experience
Nice to Have Exposure to Databricks dbt Snowflake (projects/coursework acceptable) Experience with Azure Data Factory / Data Lake Hands-on project experience using AI-assisted development Why Join Work on foundational data systems supporting high-impact business initiatives while gaining hands-on experience with modern data stack and AI-driven engineering practices.
Role Overview
We are looking for high-potential early-career engineers who are strong in fundamentals and comfortable with AI-assisted development.
This role focuses on building scalable data pipelines while learning and growing in a fast-paced cloud-native environment.
We are specifically targeting candidates from top-tier universities or those with internship/work experience at leading technology companies with strong problem-solving and learning ability.
Key Responsibilities
Build and support ETL/ELT pipelines using Databricks dbt Snowflake and Azure Write efficient SQL and Python for data processing and transformations Leverage AI-assisted development tools (Claude Copilot) for coding and debugging
Ensure data quality reliability and pipeline monitoring Collaborate with reporting and engineering teams to meet data needs Participate in Agile/Scrum ceremonies and deliver sprint commitments Support production operations and incident triage
Required Qualifications:
Bachelors degree in Computer Science Engineering or related field
4 to 6 years of experience (including internships or projects)
Strong fundamentals in SQL and Python Familiarity with cloud platforms (Azure preferred) and data concepts
Experience with Git/version control and collaborative development
Exposure to AI coding tools (Claude GitHub Copilot etc.)
Strong communication skills and ability to learn quickly Preferred Profile (Key Differentiator)
Graduates from top-tier universities (e.g. MIT Stanford CMU UC Berkeley or equivalent) OR Candidates with experience/internships at leading tech companies (Amazon Google Meta etc.)
Demonstrated strong problem-solving ability and learning agility even with limited hands-on experience
Nice to Have Exposure to Databricks dbt Snowflake (projects/coursework acceptable) Experience with Azure Data Factory / Data Lake Hands-on project experience using AI-assisted development Why Join Work on foundational data systems supporting high-impact business initiatives while gaining hands-on experience with modern data stack and AI-driven engineering practices.
