Senior Data Engineer, AI
Parkhill
full-time
Posted on:
Location Type: Office
Location: Houston • Texas • United States
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Job Level
About the role
- Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure
- Design, implement, and maintain end-to-end data pipelines from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment
- Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data
- Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability
- Manage cloud platforms and data storage systems
- Develop APIs and platforms to enable integration of AI solutions into business use cases
- Optimize data systems for speed, efficiency, and reliability
- Mentor junior engineers and provide technical leadership for data infrastructure initiatives
Requirements
- 7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry
- Experience with cloud platforms (Azure, AWS) and big data tools
- Strong proficiency in Python, SQL, and data engineering frameworks
- Experience deploying ML/AI models into production (Docker, Kubernetes)
- Familiarity with AI/ML frameworks for production use
- Experience with data visualization/BI tools (Power BI, Tableau) a plus
- Understanding of data security, governance, and compliance standards
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringAI engineeringsoftware engineeringPythonSQLmachine learningAI modelsdata pipelinesAPIsdata optimization
Soft Skills
collaborationmentorshiptechnical leadership