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. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work 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 strong 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! Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity. 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/ In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or [email protected] #FIN24

Design and implement end-to-end scalable data pipelines, lakes, and warehouse solutions. Collaborate with cross-functional teams to deploy platform tools and establish strong DevOps and data governance practices.

Requires over 7 years of experience in data-driven organizations and 5+ years with cloud-native technologies like AWS, Azure, or GCP. Proficiency in Python, Java, Scala, and SQL, along with deep knowledge of Snowflake and cloud ecosystems, is essential.

• SQLPreferred
• Amazon Web ServicesPreferred
• JavaPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Cloud Architecture
• Python
• Java
• Scala
• SQL
• AWS
• Snowflake
• Data Pipelines
• Microservices
• API Design
• DevOps
• Data Governance
• ETL
• Data Warehousing
• Stakeholder Management

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Sep 6, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level