Senior Data Engineer
Company: AIA Contract Documents
Location: United States (Remote)
Salary: $150,000 - $180,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-04-13
About this role
About ACD
For more than a century, AIA Contract Documents (ACD) has supported architecture, engineering, and construction professionals by delivering a shared industry standard to align parties on a project.
What began in 1888 with the development of standardized construction contracts has evolved into a comprehensive suite of contract tools and foundational workflows that not only shape how the industry works today, but uniquely position ACD to help firms navigate construction’s growing complexity.
In a world driven by scale, fragmentation, and AI-generated decisions that prioritize speed over a clear understanding of risk, ACD serves as a trusted anchor, ensuring project participants can reduce disputes and negotiations, while achieving faster alignment and more predictable outcomes for the future.
AIA Contract Documents is seeking a Senior Data Engineer to support the buildout of data infrastructure powering upcoming AI initiatives. This role will play a critical part in designing and structuring data systems that enable scalable, high-quality inputs for AI and machine learning models.
The ideal candidate brings deep experience in modern data engineering practices, strong familiarity with Databricks, and the ability to operate independently in a fast-evolving environment with limited oversight.
Key Responsibilities
- Design and implement scalable data models optimized for AI/ML use cases, ensuring data is structured for effective model training and inference
- Architect and manage data pipelines using Databricks, including orchestration, job scheduling, and workflow optimization
- Develop and maintain robust ETL/ELT processes to support data ingestion, transformation, and delivery across systems
- Leverage Databricks Asset Bundles to manage deployment of data assets (pipelines, jobs, notebooks, and files) across environments
- Collaborate with cross-functional teams to align data architecture with AI initiative requirements and business objectives
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