Full-Time
Data Engineer
ShyftLabs
11-50 employees
Data-driven decision-making platform for organizations
Compensation Overview
$100k - $140k/yr
Toronto, ON, Canada + 1 more
More locations: Calgary, AB, Canada
Hybrid
Bachelor's, Master's
 Data & Analytics (1) |
|---|
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- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
- 5+ years of hands-on experience with Databricks and Apache Spark
- Proficiency in SQL, Python, or Scala for data processing and analysis
- Experience with cloud platforms (AWS, Azure, or GCP) for data engineering
- Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture
- Experience with CI/CD tools and DevOps best practices
- Familiarity with data security, compliance, and governance best practices
- Strong problem-solving and analytical skills with an ability to work in a fast-paced environment
- Design, implement, and optimize big data pipelines in Databricks
- Develop scalable ETL workflows to process large datasets
- Leverage Apache Spark for distributed data processing and real-time analytics
- Implement data governance, security policies, and compliance standards
- Optimize data lakehouse architectures for performance and cost-efficiency
- Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows
- Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks
- Automate workflows using CI/CD pipelines and infrastructure-as-code practices
- Ensure data integrity, quality, and reliability in all pipelines
- Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer)
- Hands-on experience with MLflow, Feature Store, or Databricks SQL
- Exposure to Kubernetes, Docker, and Terraform
- Experience with streaming data architectures (Kafka, Kinesis, etc.)
- Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker)
- Prior experience working with retail, e-commerce, or ad-tech data platforms
ShyftLabs helps organizations adopt a data-first approach to decision making by designing and implementing processes that turn data into actionable insights. Its solution builds structured analytics workflows and governance, so teams access trustworthy data, follow defined steps, and act on results with clarity. Unlike tools that only show dashboards, ShyftLabs focuses on repeatable data practices and governance that speed up decisions and reduce ad hoc analysis. The goal is to help organizations stay ahead of the competition by enabling faster, more informed decisions across the business.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Canada
Founded
2018
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Simplify's Take
What believers are saying
- Toronto Port Authority launched Carter-powered DOOH at Billy Bishop on 2026-04-13.
- ShyftLabs opened a new office in August 2025, signaling expansion.
- Its 250-person team and zero funding create profitable growth discipline.
What critics are saying
- ShyftLabs remains unfunded, limiting hiring, acquisitions, and product investment.
- Carter faces entrenched rivals like Adobe, Google, and public adtech platforms.
- A consulting-heavy model makes revenue vulnerable if airport and enterprise deals stall.
What makes ShyftLabs unique
- ShyftLabs bootstrapped to 250 employees without outside capital.
- Its Carter platform combines AI, programmatic activation, and measurable DOOH optimization.
- Toronto and Hyderabad delivery centers support enterprise data and AdTech work.
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Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget