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Brown and Caldwell logo
Brown and Caldwell

Brown and Caldwell is the largest engineering consulting firm solely focused on the U.S. environmental sector

Data & AI Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1947H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

46 days ago

Salary

$117K - $191K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishCloudCyber SecurityDockerETLPythonSQL

Job Description

Data & AI Platform Engineer

Brown and Caldwell

• Design, create and maintain data pipelines to collect, clean, transform, and load data from various sources. • Collaborate with interdisciplinary teams of environmental engineers, data scientists, and software developers to understand data requirements. • Participate in the design of and execute the creation and management of data warehouses, data lakes, and databases. • Develop, deploy, execute, and monitor ETL (Extract, Transform, Load) processes. • Develop and maintain data models and engage in SQL database management and querying. • Design and execute testing plans for data pipeline and data warehousing implementation efforts. • Implement processes for improving data quality and managing data governance. • Collaborate with IT infrastructure and cybersecurity teams to implement and operate data pipelines within approved data infrastructure. • 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 a high level of data accuracy and integrity.

Job Requirements

  • 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.
  • 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 while applying software engineering best practices including use of version control systems (e.g., Git).
  • Demonstrated abilities with data warehousing solutions, data lake solutions, and cloud platforms.
  • Hands-on experience supporting production LLM‑ or RAG‑based systems in a platform, data, or MLOps capacity is preferred.
  • Familiarity with LLMOps practices and operational tooling is preferred.
  • Exposure to analytics platforms and integration‑heavy systems is preferred.
  • Experience deploying and operating AI‑enabled or analytics-heavy services in Docker‑based containerized runtimes on managed cloud platforms is preferred.
  • Familiarity with geospatial data and analysis is preferred.
  • Interest or experience in environmental, water resources, or scientific computing domains is preferred.

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

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