Data Engineer

EMCOR Mechanical ServicesIrvine, CA
7dOnsite

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. #EMS! #LI-NS1

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

  • medical
  • dental
  • vision coverage
  • health savings and flexible spending accounts
  • life insurance
  • disability
  • a 401(k) Savings Plan
  • College Coach
  • employee assistance program
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