Data Engineer

EMCOR Mechanical Services, Inc. • Irvine, CA

18h • $115,000 - $145,000 • Onsite

About The Position

EMCOR Mechanical Services (EMS) companies provide mechanical, automation, and energy solutions, as well as a range of other professional services. From healthcare and education to technology, transportation, retail, government, and more, EMS companies operate in a wide array of environments.
EMCOR Mechanical Services has an opportunity for a Data Engineer in Irvine, CA. The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data-driven decision-making. This role is an individual contributor with specific oversight of projects and process. This individual will interact with members of Finance, Management, IT, QA, BA teams, and various business stakeholders.

Requirements

• Bachelor’s degree in Computer Sciences/Engineering, associated discipline, or equivalent technical experience.
• Minimum of 5 plus years of experience of hands-on application development or data engineering experience.
• Expertise in SQL and Python as well as strong working knowledge with various Microsoft Fabric Components including OneLake, Data Factory, Data Engineering, Data Warehousing, Data Science, Real-time Analytics, and Power BI (BI/Visualization).
• Proficiency in SQL and programming languages (Python, Java, or Scala).
• Experience with ETL tools and cloud platforms (AWS, Azure, GCP).
• Knowledge of data warehousing concepts and tools.
• Familiarity with workflow orchestration tools (Airflow, Luigi).
• Strong understanding of data governance and security principles.
• Ability to work in an office environment using laptop, cell phone, and office phones.

Nice To Haves

• Experience in Construction or Mechanical Services industry preferred.

Responsibilities

• Develop and maintain ETL (Extract, Transform, Load) processes for data ingestion and transformation.
• Design and optimize data models for structured and unstructured data.
• Implement and manage data storage solutions (e.g., relational databases, data lakes).
• Ensure data quality, integrity, and security across systems.
• Collaborate with data analysts and business stakeholders to understand data requirements.
• Monitor and improve performance of data pipelines and workflows.
• Automate data processes and implement best practices for data engineering.

Benefits

• We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and employee assistance program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level