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Data Engineer
Data EngineerHubstaff • Cochrane, Alberta, Canada
Data Engineer

Data Engineer

Hubstaff • Cochrane, Alberta, Canada
1 day ago
Job type
  • Full-time
  • Part-time
Job description

Employment : Full-time or Part-time | Reports to : Head of Technology / VP Engineering

Comp : $240,000 $260,000 USD / year (DOE & location) + equity or project tokens (standard vesting)

Payment : USD or crypto (USDT, USDC, ETH)

About Us

We are a technology company building data-driven platforms and products that rely on scalable, reliable, and high-quality data infrastructure. Our team enables analytics, machine learning, and business intelligence by designing and maintaining modern data pipelines and data platforms.

Role Overview

We are looking for a Data Engineer to design, build, and maintain data infrastructure that supports analytics, reporting, and machine learning workloads. You will work closely with product, engineering, and data teams to ensure data is accessible, reliable, and scalable.

Key Responsibilities

  • Design and build scalable data pipelines and ETL / ELT processes
  • Ingest, process, and transform large volumes of structured and unstructured data
  • Design and maintain data warehouses, data lakes, and data models
  • Ensure data quality, reliability, and consistency across systems
  • Optimize data processing performance and cost
  • Collaborate with analytics, ML, and product teams on data requirements
  • Implement data monitoring, validation, and alerting
  • Document data architecture, pipelines, and best practices

Requirements

  • Strong experience building and maintaining data pipelines and platforms
  • Proficiency in Python , SQL , or similar data-focused languages
  • Experience with ETL tools, batch and streaming data processing
  • Experience working with relational and NoSQL databases
  • Experience with data warehousing and analytics platforms
  • Understanding of data modeling and schema design
  • Strong problem-solving and communication skills
  • Nice to Have

  • Experience with cloud-based data platforms (AWS, GCP, Azure)
  • Experience with big data technologies (Spark, Kafka, Flink, etc.)
  • Experience supporting machine learning or analytics teams
  • Experience with data governance and security practices
  • What We Offer

  • Competitive compensation and growth incentives
  • Flexible remote-friendly work environment
  • Opportunity to build high-impact data platforms
  • Collaborative and data-driven engineering culture
  • Learning and professional development support
  • Create a job alert for this search

    Data Engineer • Cochrane, Alberta, Canada

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