Data Engineer: Build Scalable Data Pipelines & APIs

Fortis Construction, Inc.; Austin (CO); On-site; USD 90,000 - 150,000; Full time

Job summary

Fortis Construction, Inc. is seeking a Data Engineer to design, build, and maintain scalable data pipelines and storage systems. You will work with large datasets, develop data workflows, and ensure reliable data delivery to data warehouses and data lakes.

You will also develop data APIs, ETL processes, and data integration solutions while implementing data quality and governance. Collaboration with data scientists and analysts is expected to support data-driven decisions.

Qualifications

• 2+ years of experience in a data engineering role.
• Bachelor's degree in CS/IT or related field, or equivalent experience.
• Strong knowledge of data processing technologies, warehousing and lakes.
• Experience with cloud computing platforms (AWS/Azure/GCP) and data tooling.

Responsibilities

• Design, build, and maintain data pipelines and processing systems.
• Develop and maintain data APIs, ETL processes, and integration solutions.
• Implement data quality and governance policies.
• Collaborate with data scientists and analysts on data-driven solutions.
• Stay up-to-date with the latest data technologies and trends.
• Assist with other duties aligned to team goals.

Skills

Data processing

Problem-solving

Analytical thinking

Independent work

Team collaboration

Education

Bachelor's degree in computer science or related field

Tools

AWS

Azure

GCP

Job description

Fortis Construction, Inc. is seeking a Data Engineer to design, build, and maintain scalable data pipelines and storage systems. You will work with large datasets, develop data workflows, and ensure reliable data delivery to data warehouses and data lakes.

You will also develop data APIs, ETL processes, and data integration solutions while implementing data quality and governance. Collaboration with data scientists and analysts is expected to support data-driven decisions.