Data Analytics Engineer
$80k - $110kEMCOR Group
About Us
John W. Danforth Company, one of the largest mechanical contractors in the Northeast, is growing! We believe our people are our greatest asset and invest in training, career development, employee engagement, and team support. We are committed to delivering industry-leading experiences for our customers across commercial and industrial HVAC, plumbing, refrigeration, advanced technology manufacturing, process piping, fabrication, mission-critical environments, and energy performance projects, backed by comprehensive service maintenance and repair.
Job Summary
As a Data Analytics Engineer at John W. Danforth Company, you will play a critical role in enabling data-driven decision-making across the organization. You will design, build, and maintain scalable data pipelines, data models, and analytics-ready datasets. In this role, you will partner closely with analytics, IT, and business teams to ensure reliable, efficient, and accessible data solutions that support reporting and advanced analytics initiatives.
Essential Duties & Responsibilities
• Build, maintain, and optimize ETL/ELT pipelines to support scalable data processing and integration across systems.
• Integrate data from internal and external sources while ensuring accuracy, consistency, and availability.
• Develop and maintain logical and physical data models, including analytics-ready data layers for reporting and insights.
• Deliver clean, reliable datasets that enable self-service analytics and support business intelligence tools.
• Implement data quality checks, validation processes, and monitoring to ensure data integrity.
• Support data governance initiatives, including metadata management, lineage, and compliance with security and regulatory standards.
• Optimize data pipelines, queries, and storage solutions to improve performance, scalability, and cost efficiency.
• Collaborate with IT, engineering, and business stakeholders to translate requirements into scalable data solutions.
• Troubleshoot production issues, provide enhancements, and contribute to continuous improvement efforts.
Qualifications
• 3–7+ years of experience in data engineering, analytics engineering, or a related field.
• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
• Strong SQL skills and experience with data modeling concepts and techniques.
• Experience with ETL/ELT tools and frameworks.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of data warehousing concepts (e.g., dimensional modeling).
• Proficiency in programming or scripting languages such as Python, Spark, or similar.
• Strong problem-solving, analytical, and communication skills.
• Ability to manage multiple priorities and work collaboratively across teams.
#danfth
Equal Opportunity Employer
As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/Disabled
Notice to Prospective Employees
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EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR’s normal application process – it is probably fraudulent.
Geographic Disclosure
Compensation Range : $80,000-$110,000
Other Compensation : Bonus eligible
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, and an employee assistance program.
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Job Locations US-NY-Tonawanda | US-NY-Victor | US-NY-Syracuse | US-NY-Clifton Park | US-OH-Dublin | US-VT-Williston
ID 2026-50642
Company John W. Danforth Company
Category Information Technology
Position Type Full-Time
Location Type Onsite
Posted Date 2 weeks ago (8/5/2026 12:35 PM)
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