--- title: 'Data Engineer at ShyftLabs' canonical: 'https://feeny.ai/job/data-engineer-shyftlabs-toronto-t0b2srkwqcgq' type: 'job' last_seen: '2026-10-13' --- # Data Engineer at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-01 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.lever.co/shyftlabs/f1b358fc-3b63-4f84-82d5-62e72cb0a2b8 ## 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. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. [Lever Jobs](https://jobs.lever.co/shyftlabs) ## Other roles at ShyftLabs - [WMS Engineer](https://feeny.ai/job/wms-engineer-shyftlabs-noida-wx01vr1xa779) — Noida, India - [Lead QA Automation Engineer (PlayWright)](https://feeny.ai/job/lead-qa-automation-engineer-playwright-shyftlabs-noida-75cvqnw891kp) — Noida, India - [Data Engineer -Databricks](https://feeny.ai/job/data-engineer-databricks-shyftlabs-coimbatore-zsysdnmhkj7m) — Coimbatore, India - [Lead Data Engineer - Databricks](https://feeny.ai/job/lead-data-engineer-databricks-shyftlabs-coimbatore-qhb5jr51jvay) — Coimbatore, India - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-shyftlabs-noida-qgfjmqsenk0z) — Noida, India - [Principal Technical Product Manager](https://feeny.ai/job/principal-technical-product-manager-shyftlabs-toronto-dcgq4stsw1j7) — Toronto, Canada - [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-shyftlabs-noida-5nvapc5fh3m6) — Noida, India - [Technical Product Manager](https://feeny.ai/job/technical-product-manager-shyftlabs-toronto-yd4wz7avxd9z) — Toronto, Canada - [Software Developer](https://feeny.ai/job/software-developer-shyftlabs-noida-8rgf0nc7yfma) — Noida, India - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-shyftlabs-toronto-krwjay93a8ve) — Toronto, Canada