Data Engineer

Posted An Hour Ago
Be an Early Applicant
Portland, OR, USA
In-Office
Junior
Professional Services • Industrial
The Role
Designs, builds, and maintains data pipelines, APIs, ETL processes, data warehouses, data lakes, and data integration systems. Implements data quality and governance practices, collaborates with data scientists and analysts on data-driven solutions, and stays current with data technologies. Requires cloud, virtualization, data modeling, and data engineering expertise, along with a valid driver’s license.
Summary Generated by Built In

Job Description:

The Data Engineer is responsible for designing, building, and maintaining the infrastructure and systems that support the collection, processing, and storage of data. They work with large datasets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems. The Data Engineer also develops and maintains data APIs, ETL processes, and data integration systems.
  • Design, build, and maintain data pipelines and data processing systems.

  • Develop and maintain data APIs and ETL processes.

  • Implement data quality and data governance policies and procedures.

  • Work with data scientists and other analysts to support the development and implementation of data-driven solutions.

  • Stay up to date on the latest data technologies and trends.

  • Assist in other duties as assigned, relevant to the achievement of the position’s and team’s objectives.

REQUIRED QUALIFICATIONS

  • 2+ years of experience in a data engineering role.

  • Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent experience.

  • Strong knowledge of data processing technologies and tools.

  • Experience with data warehousing and data lake technologies.

  • Experience with data modeling and data quality.

  • Experience with cloud computing and virtualization technologies (e.g., AWS, Azure, GCP).

  • Excellent problem-solving and analytical skills.

  • Ability to work independently and as part of a team.

  • Must possess a valid driver’s license and a satisfactory driving record in accordance with Fortis policy.

PREFERRED QUALIFICATIONS

  • Experience with machine learning and artificial intelligence technologies.

  • Experience with big data processing technologies.

  • Experience with data visualization and reporting tools.

PHYSICAL REQUIREMENTS

  • Work is performed in a professional office environment. Role is stationary, often standing or sitting for long periods of time, utilizing standard office equipment such as computers, phones, photocopiers, etc. Communication with internal and external contacts, including speaking and hearing is required. May occasionally push, pull or lift up to 25 lbs.

TRAVEL REQUIREMENTS

  • All Fortis positions require some level of driving.

RQ-0771 Data Engineer (Open)

The above description is intended to identify the essential functions and requirements for the performance of this job; it is not to be construed as a complete statement of duties, responsibilities or requirements. All jobs require behaviors consistent with our Core Values and Culture. The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations could be made to enable employees with disabilities to perform the essential functions of the role, absent undue hardship. Fortis Construction, Inc. rese­rves the right to revise the job description at any time.


Fortis is an Equal Employment Opportunity employer.  We adhere to a policy of making employment decisions without regards to race, color, religion, sex, age, disability or any other protected categories.  It is our intention that all qualified applicants be given an equal opportunity and that selection decisions be based on job-related factors.

Skills Required

  • 2+ years of experience in a data engineering role
  • Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience
  • Strong knowledge of data processing technologies and tools
  • Experience with data warehousing and data lake technologies
  • Experience with data modeling and data quality
  • Experience with cloud computing and virtualization technologies, such as AWS, Azure, or GCP
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Valid driver’s license and satisfactory driving record
  • Experience with machine learning and artificial intelligence technologies
  • Experience with big data processing technologies
  • Experience with data visualization and reporting tools
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The Company
600 Employees
Year Founded: 2003

What We Do

Fortis Construction, Inc. is an employee-owned general contractor headquartered in Portland, Oregon. It delivers complex building projects across data centers, science and technology, commercial, healthcare, and education markets. The company emphasizes collaborative project teams, care, trust, and long-term client relationships, operating from offices in Oregon and Utah and serving projects in multiple states and globally with a workforce of more than 600 employees.

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