Data Engineer-3
Role summary
This full-time Data Engineer role in Seattle, WA requires 6+ years of data engineering experience, with at least 3 years in a data engineering, data science, or software engineering capacity. The ideal candidate will have expertise in building and maintaining robust data pipelines using SQL and Python, translating stakeholder requirements into actionable plans, and implementing data pipeline best practices for accuracy and reliability. Experience with cloud-native solutions is essential. Preferred qualifications include 5+ years in data warehousing, data modeling, and large-scale ETL/ELT pipelines, along with extensive experience in cloud platforms like AWS, GCP, or Azure, and proficiency in tools such as Spark, Kafka, Airflow, and databases like Snowflake, Databricks, or Redshift.
Seattle, Washington 98039 Posted April 4th, 2026
Looking for more job opportunities? Click here!
Job Type: Full Time
Job Category: IT
Job Description
Role: Data Engineer
Location: Seattle, WA
FTE
Job Description
6+ years of data engineering experience
3+ year of experience working in a data engineering, data science, or software engineering capacity
Expertise in writing and maintaining robust data pipelines in SQL and Python
A track record of turning data requirements from stakeholders into actionable plans
Experience with cloud-native solutions
A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
Preferred qualifications:
5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
Strong skills in Python, Java, or Scala.
Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER