Senior Data Developer
About The Position
MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000 businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell. We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion. We are seeking a Senior Data Developer to join our growing team. You will help build and maintain the data platform that directly powers the MaintainX product and enables internal analytics and BI, while developing platform capabilities and tooling used by software development teams daily. You will contribute across the data platform, including pipelines (batch, micro-batch, and streaming), deployment, governance, and developer tooling.
Requirements
- 6+ years of experience as a data developer in a modern, production-grade cloud data platform (Databricks or similar equivalent)
- Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt
- Strong Python and SQL skills
- Experience with CDC pipelines
- Experience managing cloud infrastructure with Terraform (or similar infrastructure-management equivalent)
- Experience building CI/CD workflows using DABs and GitHub Actions (or similar)
- Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures)
- Experience in query optimization, resource allocation and management, cost management, and data lake performance
- Experience working in a fast-paced, agile environment
Nice To Haves
- Knowledge of compliance and regulatory frameworks (ex: GDPR, CCPA, SOC2, FedRAMP)
- Backend software development experience, including with application data storage (relational, unstructured, BLOB, etc.) and event-driven architecture
- Experience with building and operating vector databases and RAG
Responsibilities
- Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting
- Design and develop reliable and scalable data ingestion and transformation pipelines
- Model raw data into clean, reliable datasets that power both product features and internal analytics
- Build platform abstractions and tooling that improve developer experience for data producers and consumers
- Improve observability, testing, and monitoring to ensure reliability and performance
- Manage and contribute to data governance, security, compliance, and access controls
- Contribute to platform standards and architecture as the data platform scales
- Collaborate with software development, machine learning, product, and analytics teams to support their data use cases
Benefits
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
