Data Engineer

LF Sportswear, Inc.
Toronto, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Toronto, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Cloud Computing
Data Integrity
Data Systems
Data Visualization
Data Warehousing
Python
Ruby
Standard Sql
Software Engineering
Data Streaming
Data Ingestion
Spark
Data Lake
Kafka
Data Pipelines
Databricks

Job description

Experteer Overview As a Data Engineer at Clio, you will build and maintain data pipelines from scratch, enabling access to data for partner teams. You'll work with AWS-based ingestions and transform data into data lakes and warehouses, collaborating with engineers to ensure data integrity and scalable solutions. You'll solve complex data challenges using modern tech, often through prototyping new approaches. This role supports Clio's mission to improve the legal experience and access to justice by powering data-driven decisions across teams. Compensation / Benefits * Implement real-time and batch data ingestion using AWS and data modeling practices * Design, build, and maintain data transformation pipelines for data lakes/warehouses * Collaborate to apply best practices in data system creation, data integrity, testing, analysis, and documentation * Develop prototypes or proofs of concept for unproven technical solutions Tasks * Software development experience * Experience with cloud infrastructure (AWS preferred) * Proficiency in at least one major language (Python/Scala/Ruby) and SQL * Experience with streaming and batch data tools (Spark, Kafka, Airflow) * Data warehousing experience with Databricks or similar * Experience building data pipelines and dashboards for data visualization * Strong collaboration and communication skills * Interest in applying AI to improve craft Key requirements * Competitive salary * top-tier health benefits, dental, and vision * Hybrid work environment in multiple cities * Flexible time off policy * $2000 annual counseling benefit * RRSP matching and RESP contribution

Requirements

infrastructure, (AWS preferred) * Proficiency in at least one major language (Python/Scala/Ruby) and SQL * Experience with streaming and batch data tools (Spark, Kafka, Airflow) * Data warehousing experience with Databricks or similar * Experience building data pipelines and dashboards for data visualization * Strong collaboration and communication skills * Interest in applying AI to improve craft Key requirements * Competitive salary * top-tier health benefits, dental, and vision * Hybrid work environment in multiple cities * Flexible time off policy * $2000 annual counseling benefit * RRSP matching and RESP contribution

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