Senior Data Engineer - Location: Toronto, ON - Hybrid (4 days a week in office) - Pay Rate: $67.03/hr - $79.11/hr - Contract Length: 12 Months with possibility for extension We at Raise are hiring a Senior Data Engineer for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.

Responsibilities: Engineering & Architecture - Design and implement end‑to‑end solutions for data, cloud, and software engineering needs.

- Collaborate with technical leads to align engineering decisions with the strategic vision.
- Build scalable data pipelines, data lakes, and data warehouse solutions. Data Marketplace & Integrations - Evaluate and implement system integrations supporting the client's vision for data‑as‑a‑product and enterprise data discovery.

Platform

Engineering - Partner with DBTS and enterprise engineering teams to identify, evaluate, and deploy tools and technologies required for current and future platform needs.

- Champion innersourcing practices within teams to enable collaborative development. DevOps & Governance - Establish and enhance DevOps practices to improve developer experience and time‑to‑market.
- Advocate for and implement robust data governance, quality, and reliability practices. Cross‑Functional Collaboration - Work with analysts, business stakeholders, and product teams to gather requirements and translate them into technical solutions.
- Support business‑critical use cases by delivering secure, scalable, and high‑performance data products.
- Proactively monitor workflows, resolve bottlenecks, and troubleshoot data issues. Must‑Have Requirements:




- 7+ years of experience working in data‑driven organizations on large‑scale, end‑to‑end data initiatives.
- 5+ years of hands‑on experience building data platforms, applications, and pipelines using cloud‑native technologies (AWS, Azure, GCP).
- Deep understanding of cloud data ecosystems (Snowflake – including warehouses, query optimization, and cost governance; Oracle; Hadoop; etc.).

Experience with data ingestion and flow management tools.

- Strong programming skills in Python, Java, Scala, and SQL.
- Expertise with AWS services, including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.
- Experience designing APIs and microservices. Nice‑to‑Have Requirements:
- Experience with data visualization tools (Power BI, Tableau) is an asset.
- Snowflake (strong advantage but not mandatory) - Exposure to AI/GenAI technologies (nice to have) - Experience with trading systems or investment platforms is considered a plus.

Education

- Bachelor's/master's degree in computer science or a related technical field.

Required Soft Skills

- Strong communication, negotiation, and stakeholder-management skills.
- Proven ability to influence, lead change, and drive measurable outcomes. Looking for meaningful work? We can help! We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities. We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

📌 Senior Data Engineer (Toronto)
🏢 Raise
📍 Toronto