Senior Data Engineer

Clio - Cloud-Based Legal Technology

. Build data pipelines and data warehouses from scratch .

Posted 10/7/2026full-timeToronto • CanadaSenior💰 CA$157,300 - CA$212,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building data pipelines and data warehouses, utilizing AWS technologies and data tools for streaming and batch ingestion. Proven ability to mentor junior engineers and lead projects with minimal supervision while ensuring data integrity and product excellence.

Highest-signal resume keywords

Data Pipeline DevelopmentAWS Cloud InfrastructureSQL ProficiencyData Warehousing with DatabricksMentoring Junior Engineers

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

PythonScalaRubySQLSparkKafkaAirflowData WarehousingData TransformationData Visualization

Soft Skills

CollaborationCommunicationProblem-SolvingSelf-StarterMentoring

Tools & Technologies

AWSTerraformDatabricksData LakesData Warehouses

Industry Keywords

Data EngineeringData IntegrityStreaming DataBatch DataData Trustworthiness

Tech Stack

Tools & technologies

AirflowAWSCloudKafkaPythonRubyScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Build data pipelines and data warehouses from scratch
Make data sets accessible to partner teams by writing production code
Implement streaming and batch data ingestion using AWS technologies and data tools
Design, build, and maintain data transformation pipelines consolidating data sources into data lakes and data warehouses
Collaborate with engineers on data system creation, data integrity, test design, analysis, validation, and documentation
Develop prototypes or proof-of-concept implementations for unproven technical solutions
Mentor junior engineers and lead projects with minimal supervision

Requirements

What you’ll need

Deep experience in software development as well as data engineering
Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL
Comfortability with picking up new technologies
Hands-on experience with cloud infrastructure (AWS and Terraform are preferred)
Experience with streaming and batch data tools: Spark, Kafka, Airflow
Advanced data warehousing experience working with Databricks or similar
Experience building data pipelines and the infrastructure required to deploy data models and dashboards that allow data visualization
Exceptional collaboration and communication skills and ability to derive clarity in ambiguous environments
Advocate for data trustworthiness and product excellence
Interest in improving craft by using AI
Self-starter able to lead projects with minimum supervision
Enjoys mentoring junior engineers and is invested in their growth
Role available to candidates across Eastern Canada in the Eastern or Atlantic time zones, excluding Quebec

Benefits

Comp & perks

Competitive, equitable salary
Top-tier health benefits
Dental insurance
Vision insurance
Hybrid work environment
Flexible time off policy, with an encouraged 20 days off per year
$2000 annual counseling benefit
RRSP matching
RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
Accessibility accommodations during the recruitment process