Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Data Analytics Engineer, you will play a critical role in enabling data-driven decision-making across the organization by designing, building, and maintaining scalable data pipelines, data models, and analytics-ready datasets. 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.

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.

Requirements

3–7+ years of experience in data engineering, analytics engineering, or a related field.
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.

Skills

SQL
Data Modeling
ETL/ELT tools and frameworks
Cloud platforms (Azure, AWS, GCP)
Data warehousing concepts
Dimensional modeling
Python
Spark

Experience Level

3-7+ years

Education Level

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)

Salary/Compensations

$80,000-$110,000

Benefits

Medical coverage
Dental coverage
Vision coverage
Health savings accounts
Flexible spending accounts
Life insurance
Disability insurance
401(k) Savings Plan
Employee assistance program
Bonus eligible

About the Company

John W. Danforth Company is one of the largest mechanical contractors in the Northeast.
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.

Equal Opportunity

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