Luxor Technology Logo

Luxor Technology

Data Engineer

Reposted 10 Days Ago
In-Office or Remote
Hiring Remotely in Canada
Mid level
In-Office or Remote
Hiring Remotely in Canada
Mid level
The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.
The summary above was generated by AI
About Luxor

Luxor is the leading software and services provider for Bitcoin miners and the broader compute industry. Our full-stack platform supports gigawatts of compute infrastructure, giving operators the tools to monetize their compute, optimize and trade hardware, access financial instruments, and manage energy.

We believe that compute power is becoming the world’s next major commodity and our products are built to support this shift. Our goal is to become the leaders in harnessing, refining, and trading compute, unlocking a new asset class for the world’s most important digital resource.

As Luxor continues to scale rapidly across software, hardware, financial, energy and cloud infrastructure products, every team member has the opportunity to shape mission-critical systems, influence company-wide strategy, and contribute directly to the future of the compute economy.

Role description

We are looking for a Data Engineer to join our collaborative, and fast-moving team to work on one of the most rewarding projects in the mining and compute industry.

Basic Requirements
  • Experience building both streaming & batch data pipelines/ETL and familiarity with design principles.

  • Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with focus on performance and production support on native cloud deployments.

  • Experience with scalability solutions and multi-region replication and failover solutions.

  • Experience with data warehouse technologies (Trino, Clickhouse, Airflow, etc).

  • Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience.

  • Deep understanding of programming and experience with at least one programming language.

  • English language proficiency.

Preferred Requirements
  • Knowledge of Kubernetes and Docker

  • 4+ years of working experience in relevant data field.

  • Knowledge of blockchain technology / mining pool industry.

  • Experience with agile development methodology.

  • Experience delivering and owning web-scale data systems in production.

  • Experience working with Kafka, preferably redpanda & redpanda connect.

The Ideal Candidate
  • Passionate about cryptocurrency and public-blockchain technologies.

  • Has an interest in creating an entirely new market with Hashrate (compute power) as a commodity.

  • Has an interest in thinking and evolving the architecture of our software to make it robust and maintainable.

  • Enjoys writing code and pushing boundaries of what has been done so far.

  • Brings fun to the team but can also go own the rabbit hole to push quality code on schedule.

Responsibilities
  • Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems.

  • Govern scalable & performant cloud-deployed production relational and non-relational databases.

  • Collaborate on architecture definitions, always thinking of solutions that are scalable and secure.

  • Drive data systems to be as near real-time as possible.

  • Design, document, automate and execute test plans to ensure the quality of the datasets.

  • Participate in the process of generating and analyzing features.

At Luxor we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Luxor welcomes all!

Luxor does not accept unsolicited headhunter and agency resumes. Luxor will not pay any third-party agency or company that does not have a signed agreement with Luxor.

How we use AI in our hiring process

We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used.

During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team.

We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days.

In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time.

In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.

Similar Jobs

9 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
Mid level
Mid level
Artificial Intelligence • Marketing Tech • Software
Build and operate high-volume event streaming pipelines and analytical databases. Write production Elixir/Python services, integrate legacy pipelines, enforce event schemas and data quality, and provide monitoring, alerting, and SLA-driven observability for event data products.
Top Skills: Apache FlinkAWSCloudFormationColumnar/Olap DatabasesDatabricksElixirGCPKafkaKinesisPulsarPythonSQLTerraform
10 Days Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI systems and marketing data infrastructure. Develop retrieval pipelines, agent orchestration, CDP integrations, ETL/ELT pipelines, and analytics. Automate workflows with AI, ensure data quality and reliability, partner with stakeholders, ship Python and SQL code, mentor engineers, and drive requirements to production.
Top Skills: Agent OrchestrationBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEtl/EltHightouchLlmsMarketing AutomationPythonSalesforceSegmentSnowflakeSQLWeb Analytics
Yesterday
In-Office or Remote
Canada
Senior level
Senior level
Big Data • Information Technology • Software • Analytics • Energy
Lead technical implementation of a market management platform for nodal electricity markets. Design and operate large-scale, data-intensive production systems handling continuously changing data. Make architecture decisions, contribute production software, manage incidents, improve existing systems, and partner with product, engineering, data science, and power-market experts. Lead technical reviews, mentor engineers, and drive optimization, forecasting, and analytical capabilities.
Top Skills: Cloud Data PlatformsDistributed SystemsEvent-Driven SystemsForecastingMachine LearningOptimization ModelsReal-Time SystemsSQLStreaming Systems

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