Data Engineer

Job Title: Data Engineer (6-Month Contract-to-Hire)

Location: Onsite – Columbus, OH(local candidates only)

Summary:

We're hiring a Data Engineer for a 6-month contract-to-hire opportunity to lead data engineering efforts for our business intelligence initiatives in the residential HVAC new construction and services industry. In this role, you'll be responsible for building and managing the data infrastructure that powers analytics and insights across the company.

You'll work with cutting-edge tools and cloud technologies to turn raw data into meaningful insights, helping to improve operational efficiency, customer service, and project performance.

Key Responsibilities:

Lead the design and development of scalable data pipelines for business intelligence and analytics

Build and manage ETL processes to integrate data from HVAC systems, CRMs, and financial platforms

Ensure data accuracy, security, and regulatory compliance

Implement cloud-based data solutions using tools like Azure, Databricks, and data accelerator platforms

Automate dashboards and reporting for real-time business insights

Create and optimize data models to support performance tracking and operational efficiency

Develop predictive models for HVAC system maintenance and service planning

Collaborate with cross-functional teams (IT, operations, finance, sales, service) to support data needs and deliver insights

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or related field

• 3+ years of experience in data engineering (experience in construction or services preferred)

• Proficient in SQL, Python, or Scala

• Hands-on experience with cloud platforms like Azure and Databricks

• Strong understanding of ETL pipelines, data warehousing, and database management

• Excellent problem-solving and analytical skills

• Preferred Skills:

• Experience with data lakehouse architecture and large-scale data migration

• Familiarity with machine learning for predictive maintenance

• Strong communication skills to explain technical data insights to business teams

• Ability to integrate data from multiple sources into a unified platform

• Understanding of operational workflows, service metrics, and inventory systems