Data Analytics Engineer

EquipmentShare • Columbia, MO

2d • Remote

About The Position

At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before . We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a Data Analytics Engineer to support our Corporate HQ Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. The Data Analytics Engineer - Financial Analytics is a pivotal role responsible for architecting and managing sophisticated data infrastructure to empower financial analytics and business intelligence. This position involves designing scalable data pipelines, integrating complex financial datasets, and ensuring high-quality data availability for advanced analytics, reporting, and strategic decision-making. The ideal candidate will thrive in a dynamic environment, leveraging cutting-edge technologies to handle large-scale, time-sensitive financial data while maintaining strict adherence to regulatory and compliance standards. This position is fully remote.

Requirements

• At least 5+ years of SQL experience, creating complex SQL solutions to business problems
• At least 5+ years of Python experience, creating scalable processes to solve business problems
• At least 3+ years of experience data modeling
• Experienced with dbt
• Experience working with git
• Experience working in the AWS landscape with AWS products
• Desire to thrive in a high-paced environment
• Strong ability to adapt and be flexible within the scope of a given project as vision, priorities, and timelines shift
• High School Diploma or Equivalent Education or Experience required
• Must be able to sit for prolonged periods at a desk and work on a computer

Nice To Haves

• Experience working with confidential data within departments like Finance or Accounting

Responsibilities

• Develop and manage data pipelines using SQL and Python that extract data from various sources and transform it according to business rules
• Create/update data models in dbt to ensure scalable, robust data solutions
• Convert business needs into technical specifications and establish a timetable for job completion
• Create, test, and deploy changes
• Continuously monitor, improve, and proactively identify potential issues to improve the data pipelines and ETLs

Benefits

• Competitive compensation
• Full medical, dental, and vision coverage for full-time employees
• Generous PTO + paid holidays
• 401(k) + company match
• Gym membership stipend + wellness programs (earn PTO and prizes!)
• Company events, food truck nights, and monthly team dinners
• 16 hours of paid volunteer time per year — give back to the community you call home
• Career advancement, leadership training, and professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED
• Number of Employees: 5,001-10,000 employees