Senior Data Engineer

EquipmentShare; Denver (CO); Remote; USD 90,000 - 130,000; Full time

Job summary

An innovative firm is seeking a Senior Data Engineer to enhance its data platform. This role involves collaborating with cross-functional teams to design and maintain scalable data solutions that support analytics and machine learning. You'll work with a robust tech stack including AWS, Snowflake, and Apache Airflow, focusing on automation and self-service capabilities. The company promotes a remote-first culture, offering competitive salaries and a commitment to professional development. Join a team dedicated to transforming the construction industry through cutting-edge technology and impactful solutions.

Benefits

Unlimited PTO

Medical, Dental, Vision, and Life Insurance

401(k) + match

On-site fitness center

Daily breakfast and lunch provided

Opportunities for professional development

Community engagement initiatives

Qualifications

• 7+ years of experience in building production-grade data solutions.
• Proficiency with SQL and high-level object-oriented languages, preferably Python.
• Experience managing production-grade data pipelines.

Responsibilities

• Collaborate with cross-functional teams to take ideas from concept to production.
• Design, build, and maintain data product frameworks.
• Develop data monitoring and alerting capabilities.

Skills

SQL

Python

Data Architecture

Data Pipelines

Machine Learning

Event Data Streaming

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Data Science or related field

Tools

Apache Airflow

AWS

Kubernetes

Snowflake

dbt

MLFlow

Job description

EquipmentShare is Hiring a Senior Data Engineer

Your role in our team

At EquipmentShare, we believe it’s more than just a job. We invest in our people and encourage you to choose the best path for your career. It’s truly about you, your future, and where you want to go.

We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture.

Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (Kinesis, Kubernetes / EKS, Lambda, Aurora RDS PostgreSQL), Python, and Typescript.

What you'll be doing

We are typically organized into agile cross-functional teams composed of Engineering, Product, and Design, which allows us to develop deep expertise and rapidly deliver high-value features and functionality to our next-generation platform.

You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products. These enable end-users to track, monitor, and manage the health of their connected vehicles and deployed assets.

We'll support you as you familiarize yourself with our teams, product domains, tech stack, and processes — understanding how we work together.

Primary responsibilities for a Senior Data Engineer

• Collaborate with Product Managers, Designers, Engineers, Data Scientists, and Data Analysts to take ideas from concept to production at scale.
• Design, build, and maintain our data platform to enable automation and self-service for data scientists, machine learning engineers, and analysts.
• Design, build, and maintain data product frameworks to support EquipmentShare application data science and analytics features.
• Design, build, and maintain CI/CD pipelines and automated data and machine learning deployment processes.
• Develop data monitoring and alerting capabilities.
• Document architecture, processes, and procedures for knowledge sharing and cross-team collaboration.
• Mentor peers to help them build their skills.

Why We’re a Better Place to Work

We promise that every day will bring new ideas, challenges, and rewards.

Our team is growing, and there are plenty of opportunities to shape how we deliver together.

Our mission is to enable the construction industry with tools that unlock substantial increases in productivity. Together with our team and customers, we are building the future of construction.

We are the only cloud-based operating system that consolidates construction workflows and data from constantly moving elements into one platform.

• Competitive salary and market-leading equity package.
• Unlimited PTO.
• Remote-first work environment.
• Work/life balance focus.
• Medical, Dental, Vision, and Life Insurance.
• 401(k) + match.
• Opportunities for professional development through conferences, seminars, and continued education.
• On-site fitness center at our Columbia, Missouri, office, featuring weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and more.
• Community engagement through our Giving Back initiative.
• Full kitchen and breakroom with daily breakfast and lunch provided by our chef.

About You

You are a hands-on developer who enjoys solving complex problems and building impactful solutions. Most importantly, you care about making a difference.

• You take initiative to own outcomes from start to finish, understanding what needs to be accomplished within your domain and how we work together to deliver the best solutions.
• You are passionate about developing your craft and understand what it takes to build quality, robust, and scalable solutions.
• You see learning opportunities when things don’t go as planned — for yourself and the team’s continuous improvement.
• You take a hypothesis-driven approach — sourcing, creating, and leveraging data to inform decisions and improve our platform.

What is important to us?

Above all, you’ll get things done. More importantly, you’ll collaborate to do the right things in the right way to achieve the right outcomes.

• 7+ years of relevant experience in building production-grade data solutions.
• Proficiency with SQL and high-level object-oriented languages (Python preferred).
• Experience designing and building distributed data architectures.
• Experience managing production-grade data pipelines with tools like Airflow, dbt, DataHub, MLFlow.
• Experience with distributed systems such as Kafka, Spark, Flink, or others.
• Familiarity with event data streaming at scale.
• Proven ability to learn new technologies quickly.
• Experience integrating observability and monitoring into data products.
• Motivated to automate processes to reduce manual toil.

EquipmentShare is committed to diversity and inclusion and is an equal opportunity employer. We do not discriminate based on race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or other protected categories.