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Location
Boston, MA (4 days in office / 1 day remote)
The Role
We are seeking a BIM Data Engineer to join our team in developing a seamless platform that bridges the design and construction phases of projects from start to finish. In this role, you will build and maintain BIM data pipelines and integrate them with other data workflows and endpoint solutions. Our ideal candidate is an experienced data engineer with a strong background in BIM data formats, eager to embrace new technologies and contribute fresh ideas to the team.
Responsibilities
Design, develop, and maintain robust data pipelines for extracting, transforming, cleaning, pre-processing, aggregating, and loading BIM data from diverse sources using tools such as Python, SQL, DBT, and other relevant technologies.
Collaborate with cross-functional teams to understand data requirements and deliver scalable, efficient solutions.
Ensure data pipelines and integrations align with industry standards and best practices for BIM workflows.
Core Qualifications
2-7 years in data engineering, with a focus on BIM data formats and workflows.
Bachelor's degree in a related field preferred; however, equivalent professional experience will be considered in lieu of formal education.
Demonstrated enthusiasm for data-driven decision-making and innovative data solutions.
Demonstrated passion for innovation and proven ability to stay current with evolving BIM technologies and data engineering trends.
Experience with programming languages including Python, JavaScript, and SQL.
Experience with BIM tools and frameworks such as Autodesk Platform Services, Speckle, IFC, or OpenUSD.
Strong background in data modeling, data architecture, and ETL (Extract, Transform, Load) processes.
Track record of designing and implementing GraphQL and/or RESTful APIs, including model serving and endpoint creation.
Hands-on experience with modern data warehouse platforms, such as Databricks or Snowflake.
Experience working with major cloud platforms (AWS, Azure, or Google Cloud).
Preferred Qualifications
Experience with graph databases and their applications in architectural or construction contexts.