Data Engineer

Job details

Work model

Hybrid

Salary

$100,000 – $140,000

Location

Toronto, Ontario

Occupation

Database Architects(O*NET 15-1243.00)

Hiring context

How this role compares at ShyftLabs

ShyftLabs has 26 live roles in MeritLog’s catalog across 5 job families, and 11 of them are in data & analytics. 4 of those listings publish a pay range, a disclosure rate of 15%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

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 • 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. What You Bring • 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. Nice to Have • 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. 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.

• Senior Director of Space PlanningAnduril Industries · On-site
• Manufacturing Technician, Dive-XLAnduril Industries · On-site
• Quality Specialist, Intelligence Systems (Second Shift)Anduril Industries · On-site
• VP Production, Connected WarfareAnduril Industries · Not provided by source
• Supervisor, MaterialsAnduril Industries · On-site
• Counterintelligence & Security Risk AnalystAnduril Industries · Not provided by source