Data Analytics Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 53d ago
The date the source published, not the day we noticed it (2026-09-09). Last seen at its source 3h ago.
We have tracked this listing since 9 Sep 2026 (53 days). The employer's board dropped it once and re-listed it; it was last seen there 3 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $155k–225k/yr
Middle 50% of 5307 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 53d ago · last seen 3h ago
The listing
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.
Primary 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
Why EquipmentShare?
Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward.
We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special.
Perks & 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 and food truck nights
- 16 hours of paid volunteer time per year — give back to the community you call home
- Career advancement, leadership training, and professional development opportunities
About You
You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment.
We’re looking for people who:
- See challenges as opportunities
- Embrace change and continuous improvement
- Bring energy, effort, and optimism every day
Skills & Qualifications
Minimum qualifications
- 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
Preferred qualifications
- Experience working with confidential data within departments like Finance or Accounting
Education and Experience
- High School Diploma or Equivalent Education or Experience required
Physical Requirements
- Must be able to sit for prolonged periods at a desk and work on a computer
A Workplace For All
At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.
We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.
EquipmentShare is an EOE M/F/D/V.