Data Engineer: Build Scalable Pipelines & APIs

Fortis Construction, Inc.; Portland (OR); On-site; USD 90,000 - 130,000; Full time

Job summary

Fortis Construction, Inc. in Portland, OR is seeking a Data Engineer to design, build, and maintain data pipelines and processing systems that feed data warehouses and data lakes.

You will collaborate with data scientists and analysts, implement data quality and governance policies, and stay current with cloud technologies (AWS/Azure/GCP). 2+ years of data engineering experience and a strong problem-solving mindset are required, with the ability to work independently and as part of a team.

Qualifications

• Requires 2+ years of experience in a data engineering role.
• Bachelor’s degree in computer science, IT, or 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 (AWS/Azure/GCP).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Responsibilities

• 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.
• Collaborate with data scientists and analysts to support data-driven solutions.
• Stay up to date on the latest data technologies and trends.
• Assist in other duties as assigned relevant to the team’s objectives.

Skills

Data engineering

Cloud computing

Data warehousing

Data modeling

Data quality

Problem-solving

Teamwork

Driver's license

Education

Bachelor’s degree in CS/IT or related field

Tools

AWS

Azure

GCP

ETL

Data lakes

Data pipelines

Job description

Fortis Construction, Inc. in Portland, OR is seeking a Data Engineer to design, build, and maintain data pipelines and processing systems that feed data warehouses and data lakes.

You will collaborate with data scientists and analysts, implement data quality and governance policies, and stay current with cloud technologies (AWS/Azure/GCP). 2+ years of data engineering experience and a strong problem-solving mindset are required, with the ability to work independently and as part of a team.