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Data Engineer



Software Engineering, Data Science
Toronto, ON, Canada
Posted on Thursday, May 16, 2024
Loopio’s Data Enablement Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers.
We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio platform for our customers. Our perfect candidate has deep technical skills and is comfortable working in an evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision making, analysis, and feature development.
You will partner closely with ML Engineers, Architects and Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

What You'll Be Doing

  • Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye towards growth of our business and reliability of our data
  • Promote data-driven decision making across the organization through data expertise
  • Build advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations
  • Integrate various data sources into our Datalake, including clickstream, relational, and unstructured data
  • Developing and maintaining a feature store for use in analytics & modeling
  • Partner with data scientists to create predictive models to help drive insights and decisions, both in Loopio’s product and internal teams (RevOps, Marketing, CX)
  • Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making
  • Build scalable data pipelines using Databricks, and 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 / tooling

What You'll Bring to the Team

  • 3+ years experience in a data engineering or a similar role
  • 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
  • Ability to clearly communicate technical roadmap, challenges, and mitigation
  • Demonstrated ability to work with a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation
  • Strong understanding of database concepts, modeling, SQL, query optimization
  • Ability to learn fast and translate data into actionable results
  • Experience developing in Python and Pyspark
  • Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)
  • Strong understanding of relational databases (RDS, MySQL) and NoSQL
  • Experience with ETL & Data warehousing, building fact & dimensional data models
  • Experience with data processing frameworks such as Spark / Databricks
  • Experience in developing Big Data solutions (migration, storage, processing)
  • 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 with container orchestration (leveraging tools like Docker, ECS, Kubernetes)
  • Experience working with BI PaaS / SaaS solutions
  • Familiarity with microservice architectures
  • Experience with Natural Language Processing techniques
  • Experience using deep learning frameworks such as TensorFlow / Pytorch

Where You'll Work

  • Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We have two Hub Regions, which means that employees live and work within a 300 KM radius of Toronto (within Ontario) or Vancouver (within British Columbia) and work within regular business hours in their timezone.
  • Loopio’s office headquarters are located in Toronto’s vibrant Kensington Market. All Loopers have the option to work from home. Ontario Loopers have the option to work in the Toronto HQ and BC Loopers may work from our co-working office in Gastown Vancouver. It is whatever works best for you!
  • You’ll collaborate with your teams virtually (we’re just a Zoom call away!) and have established core sync hours and focus time during the workday to enable us to work smarter together

Why You'll Love Working at Loopio

  • Your manager supports your development by providing ongoing feedback and regular 1-on-1s
  • You have tons of autonomy and responsibility: this role provides an opportunity to try new things and push creative boundaries
  • You’ll learn more than you thought was possible; our team is obsessed with personal and professional growth (every Looper receives a professional mastery allowance each year)
  • You’ll be set up to work remotely with a MacBook laptop, a monthly phone and internet allowance, and a work-from-home budget to help get your home office all set up!
  • Join us in regular company socials, AMA (Ask-Me-Anything), and quarterly kick-off to celebrate the big wins and milestones as #oneteam!
  • You’ll be joining a culture that has thoughtfully built out opportunities for connections in a remote first environment.
  • We have Employee Resource Groups, House Teams (curious? ask us about it!), virtual yoga, cooking classes and many more moments for us to have fun and learn together!
  • You’ll be a part of an award-winning workplace and one of Canada’s fastest growing companies with ample opportunity to make a big impact here!