Note: The job is a remote job and is open to candidates in USA. Brown and Caldwell is a full-service environmental engineering and construction services firm with a focus on innovative solutions. They are seeking a Data & AI Platform Engineer to enhance their cloud platform and AI/data infrastructure capabilities, bridging MLOps and data platform engineering to support analytics and AI workflows.
Responsibilities
- Design, create and maintain data pipelines to collect, clean, transform, and load data from various sources, including sensor data, historical records, and geospatial information to facilitate data warehousing
- Collaborate with interdisciplinary teams of environmental engineers, data scientists, and software developers to understand data requirements and develop scalable data solutions
- Participate in the design of and execute the creation and management of data warehouses, data lakes, and databases to ensure efficient data storage, retrieval, and management
- Develop, deploy, execute, and monitor ETL (Extract, Transform, Load) processes to support data analysis, visualization, and machine learning model training
- Develop and maintain data models and engage in SQL database management and querying with the objective of efficiently handling stored data
- Design and execute testing plans for data pipeline and data warehousing implementation efforts
- Implement processes for improving data quality and managing data governance for enhanced reliability and accessibility
- Collaborate with IT infrastructure and cybersecurity teams to implement and operate data pipelines within approved data infrastructure, performance, and security guidelines
- Design and execute processing tasks using Python and maintain up-to-date understanding of big data processing frameworks
- Perform regular data audits and updates to ensure high level of data accuracy and integrity
- Flexibility to adapt and execute various additional assignments based on evolving needs
Skills
- Depth in platform engineering, DevOps/MLOps, and cloud infrastructure
- Ability to operationalize AI systems with rigor
- Experience in designing, developing, and maintaining data pipelines and architectures
- Experience in data modeling, ETL development, and performance tuning of data systems
- Ability to troubleshoot and resolve data-related issues with a focus on data quality and accessibility
- Experience in architecting pipelines in compliance with data security and industry standards
- Understanding in building and optimizing data pipelines, architectures, and data sets
- Strong working SQL knowledge and skills in implementing and managing relational databases
- Proficient in ETL processes creation and management and techniques for data cleaning and validation
- Proficient in Python and other scripting languages applicable for data engineering
- Proficient with best practices for writing clean, maintainable, and scalable code
- Demonstrated abilities with data warehousing solutions, data lake solutions, and cloud platforms
- Typically, a minimum of 5 years of data engineering or related experience
- Typically certified in BC's SMS Framework and progressing through the SMS competencies
- A degree in data engineering, computer science, information technology, or related field or equivalent experience
- Hands-on experience supporting production LLM- or RAG-based systems in a platform, data, or MLOps capacity
- Familiarity with LLMOps practices and operational tooling
- Exposure to analytics platforms and integration-heavy systems
- Experience deploying and operating AI-enabled or analytics-heavy services in Docker-based containerized runtimes
- Familiarity with geospatial data and analysis
- Interest or experience in environmental, water resources, or scientific computing domains
Benefits
- Medical
- Dental
- Vision
- Short and long-term disability
- Life insurance
- An employee assistance program
- Paid time off and parental leave
- Paid holidays
- 401(k) retirement savings plan with employer match
- Performance-based bonus eligibility
- Employee referral bonuses
- Tuition reimbursement
- Pet insurance
- Long-term care insurance
Company Overview
Brown and Caldwell is the largest engineering consulting firm solely focused on the U.S. environmental sector. It was founded in 1947, and is headquartered in Walnut Creek, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.brownandcaldwell.com/.Company H1B Sponsorship
Brown and Caldwell has a track record of offering H1B sponsorships, with 8 in 2025, 11 in 2024, 5 in 2023, 7 in 2022, 7 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.