Job Description
Position Overview
- Location Type: Remote
- Employment Type: Full-time
- Salary: Not specified
MaintainX is the leading platform worldwide for asset management and operational intelligence in industrial and frontline environments. We are a modern IoT and cloud-based network computing tool for reliability, safety, and equipment and facility operations. MaintainX powers operational excellence for over 10,000 companies, including Duracell, Univar Solutions Inc, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell. We recently completed a Series C funding round of $104 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, Ridge Ventures, and executives from GE, Twilio, Coupa, Toast, and PagerDuty.
We are seeking an Intermediate Data Engineer to join our rapidly growing team! You will help build and maintain the data pipelines that directly power key MaintainX product features, enable enterprise-wide decisions at MaintainX, and develop tools used daily by our data consumers. Your focus will be on building data pipelines and ensuring the integrity, quality, and accessibility of data, as well as applying best practices in data engineering to data pipelines. You will support the Product, Engineering, and Analytics teams at MaintainX by enabling users to access reliable and high-quality data when and where they need it.
Requirements
- 3+ years of experience as a Data Engineer using Databricks.
- Strong skills in Python and SQL.
- Comfortable in both internal and product-oriented contexts.
- Experience working directly with data stakeholders and translating business needs into data, model, and technical solutions.
- Experience with a cloud platform (we use AWS).
Responsibilities
- Build, maintain, and evolve data pipelines across multiple pillars of the company, including extraction and loading from third-party APIs and our product databases.
- Model raw data into clean and reliable datasets that feed both product features and internal analytics.
- Improve observability, testing, and monitoring to ensure reliability and performance.
- Manage data security, compliance, and access.
- Collaborate with Engineering, Machine Learning, Product, and Analytics teams to support their data use cases.
- Help establish the foundation of the platform: CI/CD, documentation, best practices.
Skills
MaintainX
SaaS platform for maintenance management
About MaintainX
MaintainX provides a digital platform designed for maintenance and operations management, primarily targeting industrial clients in sectors like manufacturing and food and beverage. The platform operates as a software-as-a-service (SaaS) solution, enabling businesses to track both reactive maintenance, which addresses issues as they arise, and preventive maintenance, which involves regular checks to avoid problems. MaintainX enhances operational efficiency by incorporating artificial intelligence for tasks such as real-time inventory management and asset management. Unlike many competitors, MaintainX offers an open API for easy integration with existing systems and provides educational resources through its Academy to help clients fully utilize the platform. The company's goal is to drive digital transformation in maintenance and operations, improving productivity and reducing manual work for its users.