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Data Engineer Job

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Date: Nov 29, 2018

Location: Mount Vernon, WA, US

Company: PACCAR

Requisition Summary

PACCAR Technical Center Advanced Analytics is looking for a Data Engineer interested in leveraging big data technologies to gain insights into our customer experience.

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started!
 

Division Information

The PACCAR Technical Center provides engineering excellence to the truck, engine, and winch divisions of PACCAR Inc through innovative product development and testing. The Technical Center is located in the Skagit Valley about 65 miles north of Seattle, Washington.

Job Functions / Responsibilities

  • Interface with internal stakeholders, gather requirements and deliver complete Data Engineering, Data Storage, and BI solutions
  • Design and develop schema definitions and support data storage solution to enable integration of disparate data sources from within PACCAR and outside, aggregate it and make it available for analysis
  • Design and develop ETL jobs across multiple platforms and tools
  • Build and operationalize data pipelines and decision support models
  • Support large data volumes and accommodate flexible provisioning of new sources
  • Proactively identify and develop expertise in new technologies, methodologies, and techniques
  • Work cross-functionally with various PACCAR teams
  • Be a technical leader: Mentoring junior engineers, new team members, and applying technical expertise to challenging data and design problems

Qualifications

Required Qualifications & Skills (Include Education)
  • Bachelor's or Master’s degree in Computer Science, Computer Engineering or other equivalent discipline
  • 5+ years in relevant experience as data engineer, software engineer, business intelligence engineer, or equivalent developing DB schemas, creating ETLs, and familiar with MPP/Hadoop systems
  • Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
  • Experience building data pipelines using Kinesis, Spark, AWS Lambda or similar technologies
  • Strong knowledge of at least one scripting languages
  • Must have been through several full life cycles Data Warehousing implementations and involved in scalability and performance related design aspects in Database and ETL
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Initiative on solving problems and completing tasks in a reasonable time frame
  • Ability to work cross-functionally, building and maintaining trust with internal stakeholders
  • Strong written, verbal communication skills
  • A positive, can-do attitude
Preferred Qualifications & Skills
  • Experience with Warranty Data and/or Diesel Engines a plus
  • Experience building Java services, or Docker Microservices
  • Experience building APIs
  • Knowledge of non-relational database systems

Education

Bachelor's or Master’s degree in Computer Science, Computer Engineering or other equivalent discipline

Additional Job Board Information

PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.
 


Nearest Major Market: Seattle
Nearest Secondary Market: Everett

Job Segment: Database, Product Development, Engineer, SQL, Computer Science, Technology, Research, Engineering

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