Data Engineer: Build Pipelines, Data Lakes & APIs

Fortis Construction, Inc.; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Fortis Construction, Inc. seeks a Data Engineer to design and maintain data pipelines and processing systems that support data collection, storage, and analysis.

The role involves building data APIs, ETL processes, and governance policies in collaboration with data scientists and analysts. Candidates should have 2+ years in data engineering, a related bachelor’s degree, and hands-on experience with cloud platforms (AWS/Azure/GCP) and data warehousing/lakes.

Qualifications

• Bachelor’s degree or equivalent experience in computing field.
• 2+ years in a data engineering role or similar.
• 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 (AWS/Azure/GCP).
• Excellent problem-solving and analytical skills.

Responsibilities

• Design, build, and maintain data pipelines and data processing systems.
• Develop and maintain data APIs and ETL processes.
• Implement data quality and governance policies and procedures.
• Collaborate with data scientists and analysts on data-driven solutions.
• Stay updated on data technologies and trends.
• Assist with additional duties to support team objectives.

Skills

Data processing technologies

Data modeling

Cloud computing (AWS, Azure, GCP)

Data warehousing

Data lake technologies

ETL processes

Data APIs

Problem solving / analytical

Independent and team work

Education

Bachelor’s degree in computer science or related field

Tools

ETL tools

Job description

Fortis Construction, Inc. seeks a Data Engineer to design and maintain data pipelines and processing systems that support data collection, storage, and analysis.

The role involves building data APIs, ETL processes, and governance policies in collaboration with data scientists and analysts. Candidates should have 2+ years in data engineering, a related bachelor’s degree, and hands-on experience with cloud platforms (AWS/Azure/GCP) and data warehousing/lakes.