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About the Role
Loopio is seeking an experienced Data Engineer to build and support data pipelines for analytics and embedded platform features. This role involves transforming the RFP response process and empowering teams with data-driven decision-making tools. You will collaborate with various stakeholders to enhance the company's data value.
Responsibilities
- Build, evolve, and scale data platforms and ETL pipelines with a focus on business growth and data reliability.
- Promote data-driven decision-making across the organization through data expertise.
- Develop advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations.
- Integrate diverse data sources, including clickstream, relational, and unstructured data, into the Datalake.
- Develop and maintain a feature store for analytics and modeling.
- Partner with data scientists to create predictive models for insights and decisions in Loopio's product and internal teams.
- Collaborate with stakeholders to understand business data needs and produce processes that enable a better product and support data-driven decision-making.
- Build scalable data pipelines using Databricks, AWS (Redshift, S3, RDS), and other cloud technologies.
- Build and support Loopio’s data warehouse (Redshift) and data lake (Databricks deltalake).
- Orchestrate pipelines using workflow frameworks and tooling.
Requirements
- Strong understanding of database concepts, modeling, SQL, and query optimization.
- Ability to learn quickly and translate data into actionable business results.
- Hands-on experience with AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS).
- Strong understanding of relational databases (RDS/Aurora) and NoSQL engines (Redis/DynamoDB/Neptune/etc.).
- Experience with ETL & Data warehousing, building Inmon/Kimball/Data Vault models.
- Experience with MPP frameworks such as Spark / Flink.
- Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow).
- Experience working with data visualization and BI platforms (Quicksight, Tableau, Sisense, etc).
- Experience working with Clickstream data (Amplitude, Pendo, etc).
- Experience in a high growth agile software development environment.
- Experience building and supporting large-scale systems in a production environment.
- Strong communication, collaboration, and analytical skills.
- Demonstrated ability to work with ambiguity and provide leadership within a team (mentorship, ownership, innovation).
- Ability to clearly communicate technical roadmap, challenges, and mitigation.
- Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes) (Bonus).
- Experience working with BI PaaS / SaaS solutions (Bonus).
- Experience with Natural Language Processing techniques (Bonus).
- Experience in AI-augmented SDLC (Bonus).
- Experience with graph-like data and corresponding data engines (Neo4J, Neptune, GraphFrames) (Bonus).
Skills
- Python
- Scala
- Java
- SQL
- Databricks
- AWS
- Redshift
- S3
- RDS
- Glue
- Quicksight
- Athena
- ECS
- Redis
- DynamoDB
- Neptune
- Spark
- Flink
- Jenkins
- Airflow
- Tableau
- Sisense
- Amplitude
- Pendo
- Docker
- Kubernetes
- Neo4J
- GraphFrames
Location
- Remote-first
- Canada (British Columbia, Ontario)
- London, UK
- India (Gujarat, Maharashtra, Bengaluru)
- Remote within 300km radius of Toronto (Ontario)
- Remote within 300km radius of Vancouver (BC)
Work Type
- Remote-first
- Flexible co-working locations available
Experience Level
- 3+ years experience in a data engineering or similar role
Benefits
- Ongoing feedback and regular 1-on-1s
- Professional mastery allowance for learning support
- Wide range of health and wellness benefits (starting day 1)
- MacBook laptop
- Monthly phone and internet subsidy
- Work-from-home budget
- Supportive remote-first culture with connection opportunities
- Participation in townhalls, AMA, and company celebrations
- Four Employee Resource Groups
- Award-winning workplace
About the Company
- Loopio's Data Engineering Team works to transform the RFP response process into a rapid and seamless experience.
- The team works across all platform portfolio features and delivers innovative solutions.
- Loopio is a remote-first workplace headquartered in Canada.
Equal Opportunity
- Loopio is an equal opportunity employer deeply committed to building equitable, diverse, and inclusive workplaces.
- Actively encourages candidates from all backgrounds and lifestyles to consider Loopio as a future employer.
- Requests accommodations at any point during virtual interview processes by contacting work@loopio.com.