Data Analytics Engineer

🔥 17 minutes ago

🏰 Missouri – Remote

🏰 Missouri – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EquipmentShare

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📦 Logistics

🏭 Manufacturing

💼 Consulting

💰 $1.2G Debt Financing on 2021-08

Logistics • Manufacturing • Consulting

EquipmentShare is a company specializing in equipment rental and fleet management solutions. They provide a wide range of equipment for rent, including earthmoving machines, aerial work platforms, and forklifts, as well as vehicles and trailers. The company also offers the ability to buy both new and used parts and tools. In addition to equipment rental and sales, EquipmentShare develops technology solutions such as telematics, fleet optimization, and safety and security features. Their T3 technology suite includes fleet management tools like GPS tracking, software for managing equipment utilization, and hardware like asset trackers and dash cams for monitoring and security. EquipmentShare aims to improve construction site productivity and reduce downtime through advanced technology and comprehensive equipment management services.

📋 Description

• 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 • Architect and manage sophisticated data infrastructure for financial analytics and business intelligence • Integrate complex financial datasets and ensure high-quality data availability for advanced analytics, reporting, and strategic decision-making • Maintain adherence to regulatory and compliance standards

🎯 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 • 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 • Strong ability to adapt and be flexible within the scope of a given project as vision, priorities, and timelines shift • Desire to thrive in a high-paced environment

🏖️ 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

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