Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data Engineer building scalable pipelines and data platforms for Loopio’s RFP-response software. Enabling analytics, predictive modeling, and data-driven product decisions.
Responsibilities
- Build, evolve, and scale data platforms and ETL pipelines
- Promote data-driven decision-making across the organization
- Build automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations
- Integrate clickstream, relational, and unstructured data sources into the data lake
- Develop and maintain a feature store for analytics and modeling
- Partner with data scientists to create predictive models for Loopio’s product and internal teams
- Work with business stakeholders to understand data needs and create enabling processes
- Build scalable data pipelines using Databricks, AWS Redshift, S3, RDS, and other cloud technologies
- Build and support the Redshift data warehouse and Databricks Delta Lake
- Orchestrate pipelines using workflow frameworks and tooling
- Collaborate with ML Engineers, Architects, Data Scientists, Product Managers, and business stakeholders
Requirements
- 3+ years of experience in data engineering or a similar role
- Strong understanding of database concepts, modeling, SQL, and query optimization
- Python experience preferred, or another common programming language such as Scala or Java, for data manipulation
- Hands-on experience with AWS services including RDS, S3, Redshift, Glue, QuickSight, Athena, and ECS
- Strong understanding of relational databases such as RDS/Aurora and NoSQL engines such as Redis, DynamoDB, or Neptune
- Experience with ETL, data warehousing, and Inmon, Kimball, or Data Vault models
- Experience with MPP frameworks such as Spark or Flink
- Experience with CI/CD tools such as Jenkins and pipeline orchestration tools such as Databricks Jobs or Airflow
- Experience with data visualization and BI platforms such as QuickSight, Tableau, or Sisense
- Experience with clickstream data and tools such as Amplitude or Pendo
- Experience in a high-growth agile software development environment
- Experience building and supporting large-scale production systems
- Strong communication, collaboration, and analytical skills
- Demonstrated leadership, mentorship, ownership, and ability to work through ambiguity
- Ability to clearly communicate technical roadmaps, challenges, and mitigations
- Candidates must be legally authorized to work in Canada without employer sponsorship
- Experience with container orchestration tools such as Docker, ECS, or Kubernetes is a bonus qualification
- Experience with BI PaaS/SaaS solutions is a bonus qualification
- Experience with Natural Language Processing techniques is a bonus qualification
- Experience with AI-augmented SDLC is a bonus qualification
- Experience with graph-like data and engines such as Neo4J, Neptune, or GraphFrames is a bonus qualification
Benefits
- Equity
- Flexible remote-first work arrangements
- Flexible co-working locations in Toronto and Vancouver
- Professional mastery allowance for learning and development
- Health and wellness benefits starting day 1
- MacBook laptop
- Monthly phone and internet subsidy
- Work-from-home budget
- Supportive remote-first culture and connection opportunities
- Townhalls, AMAs, and company celebrations
- Employee Resource Groups
- Ongoing feedback and regular 1-on-1s
- Award-winning workplace
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