MaintainX Logo

MaintainX

Senior / Staff Data Engineer

Reposted 10 Days Ago
Be an Early Applicant
In-Office
Montréal, QC
Senior level
In-Office
Montréal, QC
Senior level
The Senior/Staff Data Engineer will develop and maintain a data platform on Databricks, establish best practices, and mentor other engineers.
The summary above was generated by AI
 

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 11,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

About the role:

MaintainX is building a modern data platform on Databricks to power ML- and analytics-driven features for users, helping them get maximum value from their data. The platform also powers internal decision-making at all levels of the organization, accelerating MaintainX’s journey to become a truly data-driven organization.

We’re looking for a Senior II or Staff Data Engineer to drive the development of this data platform — someone who can think like a platform engineer, collaborate like a tech lead, drive best practices among data engineers, and get hands on in the development of a Databricks platform that empowers software engineers, ML engineers, analytics engineers, and data analysts alike. 

The Staff Data Engineer will be part of a growing team focused on building a platform that is reliable, scalable, and easy to use — not just for data engineers, but for anyone in the company who uses data.

What you’ll do:

  • Act as technical expert for our data platform — shaping architecture, improving data systems, and guiding engineering decisions across the data engineering team and stakeholders developing on the platform
  • Design and build tooling that improves how internal users interact with Databricks (e.g. libraries, patterns, automations, templates, documentation)
  • Establish and promote best practices across the data lifecycle (testing, CI/CD, contracts, lineage, governance, cost, performance, observability, maintainability, orchestration, etc.)
  • Collaborate closely with software engineers, ML engineers, and data analysts to understand their workflows and deliver the datasets and/or tooling they need
  • Mentor and uplevel other data engineers
  • Stay pragmatic and flexible — move fast when needed, but lay strong foundations for the future

About you:

  • Have 8+ years of relevant experience across data engineering, software engineering, data science, ML, and/or analytics
  • Understand the intersection between data engineering and platform engineering — you're comfortable thinking in abstractions and tooling
  • Have strong experience building data platforms or tooling for internal users (SWE, ML, or analytics teams)
  • Have strong knowledge of Databricks and the modern data stack
  • Proficient in Spark and Delta Lake, with experience optimizing distributed batch and streaming data pipelines and storage formats at scale
  • Comfortable with cloud-native data tools and infrastructure (we’re using AWS)
  • Are excited to work with a new data stack, with lots of opportunity to drive the technical direction of the data platform

Extra consideration for candidates with the following:

  • Development experience on data platforms as a software developer or ML engineer
  • Knowledge of MLflow and model deployment services
  • Experience in designing data platforms for generative AI (LLM) use cases, including :
    • Integration and retrieval of vector embeddings
    • Retrieval-Augmented Generation (RAG)
    • LangChain, LangGraph or other LLM orchestration frameworks
  • Experience of working in a hub-and-spoke organizational model, supporting multiple teams via a centralized data infrastructure

What’s in it for you:

  • Competitive salary and meaningful equity opportunities.
  • Healthcare, dental, and vision coverage.
  • 401(k) / RRSP enrollment program.
  • Take what you need PTO.
  • A Work Culture where:
    • You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist
    • We believe in meritocracy, where ideas and effort are publicly celebrated

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

AWS
Databricks
Delta Lake
Spark

Similar Jobs

24 Days Ago
In-Office
Montréal, QC, CAN
Mid level
Mid level
Software
As an Intermediate Data Engineer, you'll build and maintain data pipelines, model raw data into clean datasets, and ensure data integrity and quality for product functionalities and analysis.
Top Skills: AWSAws DmsCi/CdDatabricksDbtFivetranKubernetesMlflowNode.jsPythonReactSQLTerraformTypescript
9 Hours Ago
Hybrid
Montréal, QC, CAN
Senior level
Senior level
Agency • Digital Media • eCommerce • Professional Services • Software • Analytics • Consulting
Lead design and development of a cloud-based platform, manage team tasks, review code, support production releases, and ensure information security practices are followed.
Top Skills: AngularCloud-Native TechnologiesDockerJavaKafkaKubernetesMicroservicesMongoDBReactRestful ServicesSpringSpring BootSpring Cloud
9 Hours Ago
Remote or Hybrid
Montréal, QC, CAN
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead research on AI agent safety, security, and privacy while collaborating with teams on product integration and mentoring interns.
Top Skills: JavaJavaScriptNumpyPythonPyTorchR

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account