[Remote] Data & AI Platform Engineer

Remote Full-time
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.ResponsibilitiesDesign, 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 warehousingCollaborate with interdisciplinary teams of environmental engineers, data scientists, and software developers to understand data requirements and develop scalable data solutionsParticipate in the design of and execute the creation and management of data warehouses, data lakes, and databases to ensure efficient data storage, retrieval, and managementDevelop, deploy, execute, and monitor ETL (Extract, Transform, Load) processes to support data analysis, visualization, and machine learning model trainingDevelop and maintain data models and engage in SQL database management and querying with the objective of efficiently handling stored dataDesign and execute testing plans for data pipeline and data warehousing implementation effortsImplement processes for improving data quality and managing data governance for enhanced reliability and accessibilityCollaborate with IT infrastructure and cybersecurity teams to implement and operate data pipelines within approved data infrastructure, performance, and security guidelinesDesign and execute processing tasks using Python and maintain up-to-date understanding of big data processing frameworksPerform regular data audits and updates to ensure high level of data accuracy and integrityFlexibility to adapt and execute various additional assignments based on evolving needsSkillsDepth in platform engineering, DevOps/MLOps, and cloud infrastructureAbility to operationalize AI systems with rigorExperience in designing, developing, and maintaining data pipelines and architecturesExperience in data modeling, ETL development, and performance tuning of data systemsAbility to troubleshoot and resolve data-related issues with a focus on data quality and accessibilityExperience in architecting pipelines in compliance with data security and industry standardsUnderstanding in building and optimizing data pipelines, architectures, and data setsStrong working SQL knowledge and skills in implementing and managing relational databasesProficient in ETL processes creation and management and techniques for data cleaning and validationProficient in Python and other scripting languages applicable for data engineeringProficient with best practices for writing clean, maintainable, and scalable codeDemonstrated abilities with data warehousing solutions, data lake solutions, and cloud platformsTypically, a minimum of 5 years of data engineering or related experienceTypically certified in BC's SMS Framework and progressing through the SMS competenciesA degree in data engineering, computer science, information technology, or related field or equivalent experienceHands-on experience supporting production LLM- or RAG-based systems in a platform, data, or MLOps capacityFamiliarity with LLMOps practices and operational toolingExposure to analytics platforms and integration-heavy systemsExperience deploying and operating AI-enabled or analytics-heavy services in Docker-based containerized runtimesFamiliarity with geospatial data and analysisInterest or experience in environmental, water resources, or scientific computing domainsBenefitsMedicalDentalVisionShort and long-term disabilityLife insuranceAn employee assistance programPaid time off and parental leavePaid holidays401(k) retirement savings plan with employer matchPerformance-based bonus eligibilityEmployee referral bonusesTuition reimbursementPet insuranceLong-term care insuranceCompany OverviewBrown 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 SponsorshipBrown 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.

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