Senior Data Integration Engineer, IT and compliance

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology e, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

Crusoe Cloud is seeking a Data Integration Engineer to help build the foundation of our next-generation data platform. In this role, you’ll design and maintain scalable data pipelines and integrations between key business systems, enabling reliable data flow and analytics across the organization. You’ll play a key role in supporting Crusoe’s data-driven decision‑making and help connect systems across construction, engineering, and enterprise platforms.

A successful candidate will have a strong background in data structures; specifically, prior exposure and experience in Construction‑related datasets is desired (DCIS, PMIS, CMMS, ERP, etc).

• Data Pipeline Development:
  Design, implement, and maintain scalable data pipelines (ETL/ELT) using primary tools like Fivetran, Workato, and DBT to move data between critical business systems, including PMIS, ERP, HCM, and cloud environments like GCS/GCP.
• Initial Project Focus:
  Lead the development of data integrations for our datacenter construction business, linking systems such as DCIS, PMIS, BIM, ERP, Cost Management, and Procurement.
• Data Lake Management:
  Build and manage data ingestion processes (ETL) to consolidate structured and unstructured data into a centralized Datalake built on GCS.
• Analytics Enablement:
  Ensure data quality and availability to support both business analytics & reporting, as well as complex forecasting and modeling initiatives.
• Reporting Tool Integration:
  Build the necessary data integrations to allow visualization and reporting using tools like Sigma and DBT.
• Continually meet with various business units to collect data requirements and propose and implement data pipeline enhancements and modernization.
• Prepare functional specifications (business requirements) and test data as needed for new integrations.
• Work with the Operations Team to create and maintain a roadmap of data integration projects.
• Maintain accurate documentation of code, designs, and integrations; including project tickets, knowledge bases, configuration documents, and as‑built diagrams.
• Stay accountable on project work by adhering to Agile Sprint principles, and meet KPI objectives.
• Timely communications and acknowledgments.
• Travel up to 20% for the support of other offices.

• Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, Information Technology, or equivalent experience of 5+ years of working experience as a Data Integration Engineer or similar role (e.g., Data Engineer, ETL Developer).
• Has 3+ years of experience designing and implementing highly reliable, high-volume ETL/ELT pipelines.
• Expertise in cloud-based data warehousing and data lake solutions, specifically using Google Cloud Storage (GCS) and Google Cloud Platform (GCP) services.
• Strong proficiency with data integration/ETL platforms like Fivetran and Workato. Ideally has achieved the Workato Integration Developer Certificate.
• Proven experience with DBT (Data Build Tool) for data transformation and modeling in a cloud data warehouse environment.
• Experience with BI tools, preferably Sigma, for data visualization and reporting.
• Strong knowledge of SQL, data modeling (Kimball, Inmon), schema design, and database management.
• Demonstrates strong knowledge of EAI/SOA best practices, solution designs, and methodology & standards related to data movement.
• Can demonstrate prior experience with Role Based Access Controls, Data Management, Environmental Controls, and audit logs.
• Experience with Atlassian JIRA, JSM, and Confluence is a PLUS.
• Be a master of planning out implementations and new data integrations.
• Good written, oral, and interpersonal…