Entry Level Data Engineer Job at Honeywell, Lewis County, ID

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  • Honeywell
  • Lewis County, ID

Job Description

Join a team recognized for leadership, innovation and diversity

As a Data Engineer I here at Honeywell, you will play a pivotal role in designing, developing, and implementing data engineering solutions within our organization. You will work with cross-functional teams to comprehend data requirements and deliver solutions that meet our business needs. Your technical expertise will be crucial in architecting and optimizing data pipelines and ETL processes for scalability and performance. In addition, you will stay up to date with emerging technologies and industry best practices in data engineering to ensure that Honeywell remains at the forefront of data engineering innovation. You will report directly to our Data Engineering Manager, and you will work remotely in this position.  In this role, you will impact the effective collection, processing, and thoughtfulness of data to facilitate our business unbiased. At Honeywell, our people play a critical role in developing and assisting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture. 

KEY RESPONSIBILITIES
• Design, develop, and implement data engineering solutions 
• Work with cross-functional teams to comprehend data requirements and deliver solutions 
• Architect and optimize data pipelines and ETL processes for scalability and performance while working within cloud technologies such as Azure and data bricks 
• Stay up to date with emerging technologies and industry best practices in data engineering 

BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. 

YOU MUST HAVE
• Previous experience in data engineering, including designing and implementing data solutions 

WE VALUE
• Bachelor’s degree within science, technology, engineering or mathematics is a plus. 
• Hands on experience as a Data Engineer, Data Scientist. 
• Big Data technologies such as Hadoop, Spark and Kafka. 
• Programming in Python, Java or Scala. 

ABOUT HONEYWELL
Honeywell Industrial Automation enables process industry operations, creates world-class sensor technologies, automates supply chains, makes warehouses smarter, and improves worker safety. This combination builds on our core strengths in controls and automation technologies which in turn allows us to deliver better commercial outcomes for our customers. We enable customers to enhance the safety, sustainability, resiliency, and productivity of their people, plants, and assets. Learn more about Honeywell: click here

Additional Information

  • JOB ID: HRD249485
  • Category: Customer Experience
  • Location: 7130 S. Lewis, Suite 500,Tulsa,Oklahoma,74136-5427,United States
  • Nonexempt

Customer Experience (GLOBAL)

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Job Tags

Holiday work, Temporary work, Remote job, Flexible hours,

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