Senior Data Engineer

EquipmentShare; Missouri; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in the construction tech industry is seeking a Senior Data Engineer to enhance their data platform. This role involves collaborating with teams to build scalable solutions and requires extensive experience in data architecture and proficiency in programming languages such as SQL and Python. The company promotes a collaborative culture with opportunities for growth and a focus on work-life balance.

Benefits

Competitive base salary and equity package

Unlimited PTO

Remote first

Medical, Dental, Vision and Life Insurance

401(k) + match

On-site fitness center

Volunteering and local charity support

Stocked breakroom with meals provided

Qualifications

• 7+ years of relevant data platform development experience.
• Experience building and managing production-grade data pipelines.
• Proficient in SQL and a high-order object-oriented language like Python.

Responsibilities

• Collaborate to take ideas from concept to production.
• Design, build, and maintain our data platform.
• Develop monitoring and alerting capabilities.

Skills

Data Architecture

SQL

Python

Distributed Systems

Data Pipelines

Automation

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 (e.g., 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 T3 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 for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.

We'll be there to support you as you become familiar with our teams, product domains, tech stack and processes — generally how we all 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 framework 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 can promise that every day will be a little different with new ideas, challenges and rewards.

We’ve been growing as a team and we are not finished just yet— there is plenty of opportunity to shape how we deliver together.

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

T3is the only cloud-based operating system that brings together construction workflows & data from constantly moving elements in one place.

• Competitive base salary and market leading equity package.
• Unlimited PTO.
• Remote first.
• True work/life balance.
• Medical, Dental, Vision and Life Insurance coverage.
• 401(k) + match.
• Opportunities for career and professional development with conferences, events, seminars and continued education.
• On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more!
• Volunteering and local charity support that help you nurture and grow the communities you call home through our Giving Back initiative.
• Stocked breakroom and full kitchen with breakfast and lunch provided daily by our chef and kitchen crew.

About You

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

• Take the initiative to own outcomes from start to finish — knowing what needs to be accomplished within your domain and how we work together to deliver the best solution.
• You are passionate about developing your craft — you understand what it takes to build quality, robust and scalable solutions.
• You’ll see the learning opportunity when things don’t quite go to plan — not only for you but for how we continuously improve as a team.
• You take a hypothesis-driven approach — knowing how to source, create and leverage data to inform decision making, using data to drive how we improve, to shape how we evaluate and make platform recommendations.

So, what is important to us?

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

• 7+ years of relevant data platform development experience building production-grade solutions.
• Proficient with SQL and a high-order object-oriented language (e.g., Python).
• Experience with designing and building distributed data architecture.
• Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow
• Experience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
• Familiarity with event data streaming at scale.
• Proven track record learning new technologies and applying that learning quickly.
• Experience building observability and monitoring into data products.
• Motivated to identify opportunities for automation to reduce manual toil.

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-Remote