Data Engineer

TL;DR

Data Engineer: Designing and maintaining mission-critical data infrastructure for consumption-based business models with an accent on scalable ELT/ETL pipelines and data quality. Focus on building robust integrations, ensuring SOX compliance, and optimizing performance across cloud data platforms.

Location: Must be based in the United States (Office, Hybrid, or Remote options available).

Company

A world-leading software company providing digital twin solutions for infrastructure professionals in transportation, water, energy, and construction.

What you will do

• Design, build, and optimize scalable ELT/ETL pipelines for structured and unstructured data.
• Architect and maintain integrations across diverse internal and external data sources, including APIs and business applications.
• Implement rigorous security measures and ensure strict adherence to financial data regulations, including SOX compliance.
• Monitor system performance, troubleshoot bottlenecks, and optimize infrastructure for scalability and cost-efficiency.
• Collaborate with data scientists, analysts, and leadership to deliver high-quality, curated datasets.
• Maintain comprehensive documentation for data models and pipelines.

Requirements

• Must be based in the United States.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
• 3+ years of hands-on experience in a Data Engineer or related data architecture role.
• High proficiency in writing and optimizing SQL and Python.
• Deep, hands-on experience with Snowflake, dbt, Fivetran, and SQL Server.
• Exceptional problem-solving capabilities and ability to thrive in a collaborative remote team.

Culture & Benefits

• Opportunity to work at a world-leading infrastructure software company.
• Commitment to inclusion, belonging, and colleague well-being through global initiatives.
• Supportive team culture with a focus on sustainable and resilient infrastructure.
• Attractive salary and benefits package.