IREN11.02.26
AI SCORE 8.5

Senior Data Engineer - AI Cloud Solutions

$120K–$155K/year

About the Role

We are seeking a Senior Data Engineer to join our innovative team at IREN, a leading AI Cloud Service Provider. This Senior Data Engineer remote position will allow you to work at the intersection of engineering and operations, building and optimizing resilient data pipelines that turn operational data into dependable insights. You will play a crucial role in ensuring our data systems are scalable, efficient, and decision-ready.

What You'll Do

  • Design, implement, and maintain scalable data pipelines to support reliable collection, transformation, and storage.
  • Build and optimize ETL/ELT workflows using Apache Airflow for scheduling and orchestration, including authoring and maintaining Python-based DAGs.
  • Develop, manage, and monitor data integrations across various internal and external systems.
  • Collaborate closely with operations and development teams to understand requirements and deliver clean, usable datasets.
  • Maintain and optimize data warehouses and time-series databases (e.g., Clickhouse, InfluxDB, Postgres).
  • Implement monitoring and alerting systems to track data pipeline performance and health.
  • Troubleshoot issues in production data pipelines and ensure quick resolution of data-related incidents.
  • Document processes, workflows, and data models to support long-term maintainability.

Requirements

  • Bachelor’s degree in Software Engineering, Computer Science, Data Science, or a related field.
  • Minimum of 8+ years of experience as a Data Engineer, preferably in high-performance industries such as bitcoin mining, fintech, or energy.
  • Strong command of Python, with experience building robust, production-ready pipelines and Airflow DAGs.
  • Solid understanding of SQL, with the ability to write efficient queries and optimize database performance.
  • Experience working with databases such as Postgres and ClickHouse, with optional knowledge of Views, Materialized Views, and ClickHouse cluster workload distribution.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow.
  • Proficiency in designing and maintaining scalable ETL/ELT pipelines.
  • Knowledge of data modeling, data quality, and reliability best practices.
  • Exceptional attention to detail and ability to deliver under tight deadlines in a fast-paced, 24/7 operational environment.
  • Team player with a strong desire for growth and development.
  • Superior time management and multitasking skills with a strong sense of urgency.
  • Experience with problem-solving in complex projects that have a company-wide impact.

Nice to Have

  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with machine learning concepts and tools.

What We Offer

  • Competitive salary starting at $120,000 to $155,000 CAD annually.
  • Annual incentive bonus and potential equity as part of the total compensation package.
  • Relocation assistance based on the successful candidate's circumstances.
  • Comprehensive health, dental, and vision insurance coverage – 100% company paid for employees and dependents.
  • Three weeks of vacation annually plus paid holidays.
  • Flexible work arrangements to support work-life balance.
  • Opportunities for advancement and internal mobility.
  • Training and personal development opportunities.
  • Company events and team-building activities.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Join IREN as a Senior Data Engineer and work on cutting-edge AI cloud solutions. Enjoy a competitive salary and flexible work arrangements while making a significant impact in the industry.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in building and optimizing ETL pipelines using Apache Airflow and Python, ensuring efficient data flow and transformation for AI-driven applications.

Adaptable to a hybrid work environment, demonstrating self-motivation and strong time management skills to collaborate effectively with remote teams while also engaging in onsite strategy sessions.

Extensive experience in data modeling and database management with Postgres and Clickhouse, showcasing a deep understanding of scalable data architectures that support high-volume data processing.

Learning Resources

ETL Pipelines with Apache Airflowcourse

Career Path

Senior Data Engineer - AI Cloud Solutions(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Python Market Size 2024
$16.4B
Annual Growth
10.2%
AI Adoption in Data Engineering
75%
Investment in AI Cloud Solutions
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
PythonSQLApache Airflow
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Spark
Declining
HadoopjQuery

Domain Trends

Rise of AI-Driven Data Solutions
Over 70% of companies are integrating AI into their data pipelines to enhance data processing and analytics.
Shift to Cloud-Native Data Engineering
By 2025, 80% of data engineering workloads are expected to be deployed in cloud environments, emphasizing skills in cloud platforms like AWS and Azure.
Increased Focus on Data Privacy and Governance
With 60% of organizations facing regulatory pressures, data engineers are increasingly required to implement robust data governance frameworks.

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