Urgent! Data Analytics Engineer Job Opening In Columbia – Now Hiring EquipmentShare
Build the Future with Us — EquipmentShare is Hiring a Data Analytics Engineer
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.
Salary range: $110k-$140k.
Factors including past experience and location may affect final compensation rate.
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, 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
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.
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Unlock Your Data Analytics Potential: Insight & Career Growth Guide
Real-time Data Analytics Jobs Trends in Columbia, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Analytics in Columbia, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 52345 jobs in United States and 414 jobs in Columbia. This comprehensive analysis highlights market share and opportunities for professionals in Data Analytics roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! EquipmentShare is currently hiring and seeking a Data Analytics Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Analytics Engineer Jobs Columbia.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EquipmentShare adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Analytics Engineer Jobs United States varies, but the pay scale is rated "Standard" in Columbia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Analytics Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Analytics Engineer interview at EquipmentShare, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EquipmentShare's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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