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Data Engineer

Job in Renton, King County, Washington, 98056, USA
Listing for: Intellectt Inc
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Big Data, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Need Automotive/Vehicle Motors Background

Role Overview :

It is important that the Linked In profile of the candidates matches their resume, as the customer may review their profiles.

The Data Engineer will play a critical role in building scalable, reliable data pipelines to support real-time and batch processing workflows. You will work closely with cross-functional teams to integrate multiple data sources, build Operational Data Stores, ,transformations and enable timely data availability for reporting and analytics through dashboards.

Required Technologies &

Skills:
  • Cloud Storage & Data Warehousing: AWS S3, Snowflake
  • Data Processing:
    Google Dataflow
  • Batch & Real-Time Pipeline Development
  • Data Visualization Support:
    Tableau (basic understanding for data publishing)
  • Experience building Operational Data Stores (ODS) and data transformation pipelines in Snowflake
  • Familiarity with truck industry aftersales or automotive service and repair data is a plus
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 3+ years of proven experience in data engineering, especially with streaming and batch data pipelines.
  • Hands-on experience with Kafka ecosystem (Confluent Kafka, Connectors) and cloud data platforms (Snowflake, AWS).
  • Skilled in Python programming for data processing and automation.
  • Experience with Google Cloud Platform services, especially Google Dataflow, is highly desirable.
  • Strong understanding of data modeling, ETL/ELT processes, and data quality principles.
  • Ability to work collaboratively in cross-functional teams and communicate technical concepts effectively.
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