Data Engineer developing scalable data pipelines for Bitcoin mining software, supporting compute infrastructure, and influencing company - wide strategy.
About the role
- Senior Data Engineer at Noda responsible for designing and optimizing data infrastructure. Collaborating with teams to support analytics and business intelligence for sustainable buildings.
Responsibilities
- Collaborate with technical teams to understand data requirements and deliver data integration solutions.
- Migrate customer data from legacy systems, ensuring data accuracy, consistency, and minimal disruption.
- Perform data modeling, including dimensional modeling, to create structured datasets for analytics and reporting purposes.
- Plan and implement scalable data solutions on cloud platforms such as AWS, Snowflake, and Mongo Atlas.
- Ensure data governance practices are followed to maintain data quality, integrity, and compliance with industry standards.
- Implement data security best practices and ensure compliance with data privacy regulations (e.g., GDPR, CCPA).
- Work in an Agile environment, collaborating with cross-functional teams and using project management tools to deliver projects effectively.
Requirements
- 5–8+ years of experience in Data Engineering, with ownership of production-grade data platforms.
- Proven ability to act as the sole or primary Data Engineer, making architectural decisions, prioritizing work, and setting and meeting delivery timelines without heavy oversight.
- Bachelor’s or Master’s in Computer Science, Data Engineering, or equivalent experience
- Proven experience managing and optimizing massive datasets (billions of rows / multi-terabyte tables), ensuring high performance and cost-efficiency.
- Deep expertise in Snowflake and MongoDB Atlas (including Federation and CDC) as primary data stores.
- Hands-on experience building real-time ETL/ELT pipelines using Kafka, Kafka Connectors, Estuary.
- Familiarity with Vector Databases and the data infrastructure required to support LLM/RAG applications.
- Proficiency in Python and SQL for data modeling (DBT), query tuning, and general automation.
- Experience with AWS and containerized environments (Docker/Kubernetes).
- A collaborative communicator who is adaptable in a fast-paced DevOps environment.
Benefits
- Healthcare cover, including vision, dental.
- Critical Illness Cover & Life Insurance Policy
- Accidental Death, Dismemberment and Specific Loss
- Long Term Disability Cover
- Pension - Registered Retirement Savings Plan
- Enhanced paternity, maternity and adoption leave.
- Paid personal development days.
- Annual paid volunteer day to help out a charity of your choice.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer at JLL leveraging advanced technical expertise for AI - powered solutions. Designing frameworks and mentoring engineers to achieve strategic business outcomes.
Principal Data Architect at HostPapa focusing on shaping data architecture and insights for CloudBlue’s platform. Collaborating across teams to build AI - driven solutions in a cloud - native environment.
LP
Data Engineer – GCP / Python / SQL (Retail / eCommerce)
LinkedIn Recruiter Post
Data Engineer needed for a 6 - month contract in Toronto, ON. Design and maintain scalable data pipelines for retail analytics.
LP
Data Warehouse Tester / Developer
LinkedIn Recruiter Post
Data Warehouse Tester/Developer needed in Toronto, ON (hybrid). 6 - 8 years exp. with Databricks, PySpark, Python, SQL, Azure, ADF, DevOps, Informatica.
Senior Data Engineer leading scalable data infrastructure design at Spellbook. Collaborating with distributed teams to transform contract data into actionable insights.
Data Engineer role focused on building and optimizing data pipelines within Microsoft Fabric at AIM. Collaborating closely with analysts and developers to deliver scalable data solutions.
Senior Software Engineer focusing on data engineering and machine learning for Workday. Involves data ingestion, governance, and collaboration using modern technologies.
LP
Data Warehouse Tester / Developer
LinkedIn Recruiter Post
Hiring Data Warehouse Tester/Developer in Toronto, ON (Hybrid). Requires 6 - 8 years exp in Databricks, PySpark, Python, SQL, Azure, ADF, DevOps, Informatica.
Lead Data Engineering and Analytics team to oversee data infrastructure design and governance for robotic deliveries. Collaborate cross - functionally to enable data - driven decision - making across departments.