Data Engineer

Loopio

. Build, evolve, and scale data platforms and ETL pipelines .

Posted 9/19/2026full-timeRemote • CanadaMid-LevelSenior💰 CA$103,500 - CA$140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and scaling data platforms, ETL pipelines, and data orchestration tools while collaborating with cross-functional teams to drive data-driven decision-making. Proficient in cloud technologies and data warehousing solutions, with a strong foundation in database concepts and programming for data manipulation.

Highest-signal resume keywords

Data EngineeringETL DevelopmentAWS ServicesSQL Query OptimizationData Visualization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentDatabase ModelingPython ProgrammingSQLETLData WarehousingSparkCI/CDData VisualizationClickstream Data

Soft Skills

CommunicationCollaborationAnalytical SkillsLeadershipMentorship

Tools & Technologies

DatabricksAWS RedshiftS3RDSGlueQuickSightAirflowDockerKubernetesTableau

Industry Keywords

Data LakePredictive ModelsAgile Software DevelopmentNoSQLGraph Data

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudDockerDynamoDBETLJavaJenkinsKubernetesNeo4jNoSQLPythonRedisScalaSDLCSparkSQLTableauVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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