Data Analytics Engineer

EquipmentShare • Columbia, MO

9d • Remote

About The Position

EquipmentShare is hiring a Data Analytics Engineer to support financial analytics and business intelligence. The role is responsible for architecting and managing data infrastructure, designing scalable data pipelines, integrating complex financial datasets, and ensuring high-quality data is available for analytics, reporting, and strategic decision-making. The position works with large-scale, time-sensitive financial data while adhering to regulatory and compliance standards. It is fully remote and supports Corporate HQ in Columbia, Missouri.

The Data Analytics Engineer develops and manages data pipelines using SQL and Python, creates and updates data models in dbt, translates business needs into technical specifications and delivery timelines, tests and deploys changes, and monitors and improves pipelines and ETLs. The role calls for someone who can adapt to changing project priorities and thrive in a fast-paced environment.

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 data modeling experience.
• Experience with dbt.
• Experience working with Git.
• Experience working in the AWS landscape with AWS products.
• Desire to thrive in a fast-paced environment.
• Ability to adapt and be flexible as project vision, priorities, and timelines shift.
• High school diploma or equivalent education or experience.
• Ability to sit for prolonged periods at a desk and work on a computer.

Nice To Haves

• Experience working with confidential data within departments such as Finance or Accounting.

Responsibilities

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

Benefits

• Competitive compensation.
• Full medical, dental, and vision coverage for full-time employees.
• Generous PTO and paid holidays.
• 401(k) with company match.
• Gym membership stipend and wellness programs.
• Company events and food truck nights.
• 16 hours of paid volunteer time per year.
• Career advancement, leadership training, and professional development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED