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Data Engineer

  • Data Engineer job type Posted on: Oct 13, 2026
  • Data Engineer experience level SFE
  • Data Engineer employment type Seattle, Washington
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

Seattle Washington United States

Remote :

No

Jobcon Logo Job Description :

Role: Data Engineer/ Architect
Location: Seattle, WA 98109/ Grand Rapids, MI, 49534
Term: Full Time

Job Description

Must Have Technical/Functional Skills

  • Data engineer experience, SQL, AWS, Azure, GCP, Python

Roles & Responsibilities

Basic Qualifications

  • 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

  • Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
  • Experience with a scripting language (e.g., Python, Java, or R)

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.

Jobcon Logo Position Details

Posted:

Oct 13, 2026

Reference Number:

85426-7542

Employment:

Full-time

City:

Seattle

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Data Engineer/ Architect
Location: Seattle, WA 98109/ Grand Rapids, MI, 49534
Term: Full Time

Job Description

Must Have Technical/Functional Skills

  • Data engineer experience, SQL, AWS, Azure, GCP, Python

Roles & Responsibilities

Basic Qualifications

  • 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

  • Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
  • Experience with a scripting language (e.g., Python, Java, or R)

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.

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