Data Engineer @Loopio Inc.
Data and Analytics
Salary cad 103,500 - 1..
Employment Type full-time
Posted 2wks ago

[Hiring] Data Engineer @Loopio Inc.

2wks ago - Loopio Inc. is hiring a remote Data Engineer. 💸 Salary: cad 103,500 - 140,000 per year 📍Location: Northern America, Europe, Asia

Role Description

Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. 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.

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.
  • Develop and maintain 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.

Qualifications

  • Strong understanding of database concepts, modeling, SQL, query optimization.
  • Ability to learn fast and translate data into actionable business results.
  • Experience in either Python (preferably), or other common programming language (Scala, Java) for data manipulation purposes.
  • Hands-on experience with the 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 a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation).
  • 3+ years experience in a data engineering or a similar role.
  • Ability to clearly communicate technical roadmap, challenges, and mitigation.

Bonus Qualifications

  • Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes).
  • Experience working with BI PaaS / SaaS solutions.
  • Experience with Natural Language Processing techniques.
  • Experience in AI-augmented SDLC.
  • Experience with graph-like data and corresponding data engines (Neo4J, Neptune, GraphFrames).

Where You’ll Work

Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world from which we hire.

  • Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru).
  • The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).
  • We offer flexible co-working locations available to Loopers in ON and BC.
  • You’ll collaborate with your teams virtually across the UK, India, and North America.
  • We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll ♥️ Working at Loopio

  • Your manager supports your development by providing ongoing feedback and regular 1-on-1s.
  • You will have the opportunity to elevate your craft and explore your creativity, with a dedicated professional mastery allowance for more learning support.
  • We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1 with Loopio.
  • We’ll set you up to work remotely with a MacBook laptop, a monthly phone and internet subsidy, and a work-from-home budget.
  • You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
  • Participate in townhalls, AMA (Ask-Me-Anything), and company celebrations to celebrate the big wins and milestones.
  • Our four Employee Resource Groups offer opportunities for employees to learn and connect year-round.
  • You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business.
Before You Apply
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remote Be aware of the location restriction for this remote position: Northern America, Europe, Asia
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Data Engineer @Loopio Inc.
Data and Analytics
Salary cad 103,500 - 1..
Employment Type full-time
Posted 2wks ago
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remote Be aware of the location restriction for this remote position: Northern America, Europe, Asia
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
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Application Denied ✓
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