Senior Data Engineer: Build Trusted Data Pipelines (Remote/Hybrid)

Clio; Toronto; Hybrid; CAD 157,000 - 213,000; Full time

Benefits offered by this job

Health benefits

Dental insurance

Vision insurance

Hybrid work

20 days off

Counseling benefit

RRSP matching

RESP contribution

Clioversary program

Job summary

Clio seeks a Senior Data Engineer to craft data pipelines and warehouses, enabling partner teams with accessible datasets and scalable production code. You will work with state‑of‑the‑art technologies to solve complex data challenges and deliver an exceptional data experience for legal professionals.

You will implement streaming and batch ingestion, design transformation pipelines, and collaborate to promote data integrity, testing, and documentation.

Qualifications

• Strong software development and data engineering experience.
• Proficiency in Python/Scala/SQL and quick to adopt new tech.
• Hands-on experience with cloud infra (AWS) and Terraform.
• Experience with streaming/batch tools: Spark, Kafka, Airflow.
• Advanced data warehousing with Databricks or similar.
• Experience building data pipelines and dashboards for visualization.
• Excellent collaboration and communication; advocate for data trust.
• Self-starter who can lead projects; mentoring junior engineers.

Responsibilities

• Implement data ingestion techniques (streaming and batch) using AWS and best practices in data modeling and ETL/ELT.
• Design, build, and maintain data transformation pipelines consolidating sources into data lakes/warehouses.
• Collaborate with engineers to adopt best practices in data systems, testing, analysis, and documentation.
• Develop prototypes or proofs of concept where the solution is unknown or unproven.

Skills

Python

Scala

SQL

AWS

Spark

Kafka

Airflow

Databricks

Data pipelines

Terraform

Tools

Databricks

Terraform

Job description

Clio seeks a Senior Data Engineer to craft data pipelines and warehouses, enabling partner teams with accessible datasets and scalable production code. You will work with state‑of‑the‑art technologies to solve complex data challenges and deliver an exceptional data experience for legal professionals.

You will implement streaming and batch ingestion, design transformation pipelines, and collaborate to promote data integrity, testing, and documentation.