Utilimarc is a small, agile team driven by a shared passion for cutting-edge solutions and exceptional client experiences. We’re looking for a mid- to senior-level Data Engineer to join our forward-thinking team.

About the Role:

You will be responsible for creating data models that deliver cleaned, structured data for analysis and complex algorithm development, improve data quality, and derive new business insights for our customers. You will work collaboratively with other data engineers, data scientists, and analysts to model data from our near-real time vehicle data streams and augment it with other information, such as fuel transactions, vehicle maintenance data, mobile app data and other geo-spatial data.

What You'll Do:

• Assemble, explore and clean data and build models for analysis and algorithm development.
• Collaborate with analysts and data scientists to understand business requirements and develop effective models.
• Identify and flag data quality issues and create methods to report and resolve.
• Create and maintain documentation around data models, including data definitions, relationships, and assumptions.
• Manage ad-hoc requests from internal and external customers and provide accurate results.
• Write and maintain performant code that meets our coding standards and best practices.
• Monitor, maintain, and tune performance of pipelines and models.
• Perform code reviews.
• Define and improve coding standards and best practices.
• Develop a strong understanding of fleet management practices, processes, and assumptions.

Qualifications:

• Ability to work autonomously as well as collaborate with team members.
• Minimum of a Bachelor’s degree in Statistics, Mathematics, Computer Science, Business, Economics or related field.
• At least 3-5 years of experience working in a data lake environment with large scale data processing.
• At least 3-5 years of experience in SQL and Python.
• Experience with git, dbt, and AWS infrastructure.
• Ability to multitask and handle multiple projects.
• Excellent communication skills with demonstrated ability to translate requirements into implementation.
• Experience with data science, statistics, data mining and/or digital analytics.
• Experience with statistical software packages (R, Python, Spark, etc.).