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EquipmentShare

Senior Data Engineer

Reposted 11 Days Ago
In-Office
Denver, CO
Senior level
In-Office
Denver, CO
Senior level
The Senior Data Engineer will build and maintain a scalable data platform, collaborating with cross-functional teams to support data analytics and machine learning capabilities.
The summary above was generated by AI
EquipmentShare is Hiring a Senior Data Engineer

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.

While our data platform includes batch systems (e.g., Snowflake, dbt), this role will focus heavily on real-time, event-driven architectures. Ideal candidates will have built streaming systems at scale using tools such as Flink, Kafka, or Kinesis, and understand how to transform data in motion for analytics and machine learning applications.

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, observability, and alerting capabilities using tools such as Prometheus, Grafana, or OpenTelemetry.
  • Document architecture, processes and procedures for knowledge sharing and cross-team collaboration.
  • Work on transforming event streams in real-time using technologies like Flink or Kafka Streams. Implement robust data quality and validation frameworks for streaming systems.
  • 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 mission is 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.

T3 is 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.
  •  You thrive in ambiguous, fast-paced environments and aren't just a “ticket-taker”. You ask why, challenge assumptions, and work to build platforms and tools that empower other teams to move faster.
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.  We value engineers who are not only effective individually but who lift the entire team. Strong communication, mentorship, and a systems-thinking mindset are essential.

  • 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


Top Skills

Apache Airflow
Aurora Rds Postgresql
AWS
Kinesis
Kubernetes
Lambda
Python
Snowflake
Typescript

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