
1001 - 5000 employees
💼 Consulting
🏗️ Construction
🏥 Healthcare
Consulting • Construction • Healthcare
Salas O'Brien is a multidisciplinary engineering and design firm delivering MEP, structural, civil, energy and resiliency, process engineering, digital automation, and sustainability and forensic consulting for buildings, industrial facilities, and infrastructure. The firm specializes in advanced energy and renewables, decarbonization strategy, microgrids, energy optimization, and integrated facility design and commissioning, serving institutional, healthcare, education, data center, aerospace, and manufacturing clients. Salas O'Brien focuses on sustainable, resilient solutions and technical project delivery for other organizations and public-sector partners.
🔥 4 minutes ago
🇺🇸 United States – Remote
💵 $22 - $27 / year
⏱ Part Time
⚪️ Entry-level
🤖 Artificial Intelligence
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1001 - 5000 employees
💼 Consulting
🏗️ Construction
🏥 Healthcare
Consulting • Construction • Healthcare
Salas O'Brien is a multidisciplinary engineering and design firm delivering MEP, structural, civil, energy and resiliency, process engineering, digital automation, and sustainability and forensic consulting for buildings, industrial facilities, and infrastructure. The firm specializes in advanced energy and renewables, decarbonization strategy, microgrids, energy optimization, and integrated facility design and commissioning, serving institutional, healthcare, education, data center, aerospace, and manufacturing clients. Salas O'Brien focuses on sustainable, resilient solutions and technical project delivery for other organizations and public-sector partners.
• Assist with building and maintaining data pipelines, including ingestion, transformation, data quality checks, and monitoring • Contribute to product features through coding, testing, documentation, and troubleshooting • Support machine learning or generative AI components when part of the product roadmap • Write and test Python and SQL with guidance from experienced engineers • Learn and follow established platform patterns, engineering standards, and development practices • Participate in code reviews • Help investigate defects, data quality issues, and other technical problems • Support testing and evaluation of data and AI solutions • Participate in product pod discussions to understand business requirements and technical decisions • Maintain documentation for supported components, processes, and projects • Work with the product pod on prioritized backlog items and business problems • Report to the Data & AI Product Manager with technical guidance from product-pod engineers
• Currently pursuing a bachelor’s or master’s degree in computer science, data science, engineering, mathematics, information systems, or a related discipline • Foundational knowledge of Python and SQL through coursework, projects, previous internships, or other experience • Basic understanding of databases, data structures, data modeling, software development, or related concepts • Strong problem-solving skills and attention to detail • Ability to learn new technical concepts and apply feedback • Ability to communicate progress, questions, and challenges clearly • Interest in data engineering, machine learning, artificial intelligence, or software development • Preferred: Coursework or project experience involving Python, SQL, data engineering, machine learning, or software development • Preferred: Exposure to cloud data platforms or distributed data processing • Preferred: Familiarity with Git, including branches, commits, and pull requests • Preferred: Exposure to Databricks, Delta Lake, or Unity Catalog • Preferred: Coursework, projects, or personal experience involving machine learning or generative AI • Preferred: Experience developing a technical project individually or as part of a team
• Employee-owned company • Great total rewards • Remote work arrangement
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