ShyftLabs

Data Engineer

ShyftLabs  •  $100k - $140k/yr  •  Toronto, CA (Onsite)  •  3 hours ago
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Job Description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity

ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.

What You'll Be Doing

What You Bring

Nice to Have

Salary Range

  • $100,000 - $140,000

Why You’ll Love Working at ShyftLabs

Hybrid Flexibility: 3 days per week in our downtown Toronto office. This role is also open to candidates based out of the Calgary area.

Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.

Growth & Learning: Continuous learning opportunities and influence over technical direction.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

ShyftLabs

About ShyftLabs

ShyftLabs builds AI first platforms that turn real time data into real time decisions so enterprises can increase revenue, reduce friction, and operate with continuous intelligence

Industry
Consulting & Advisory
Company Size
51-200 employees
Headquarters
Toronto, CA
Year Founded
2018
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