Senior Data Engineer

T-Net British Columbia; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Engineer to join their dynamic engineering team. This exciting role offers the opportunity to build innovative data solutions and tackle new challenges using cutting-edge technologies. You will be responsible for creating data pipelines and warehouses, ensuring data accessibility for partner teams, and collaborating closely with fellow engineers to uphold best practices. With a hybrid work model and a strong focus on employee growth, this position promises a rewarding experience for those passionate about data engineering and technology.

Benefits

Top-tier health benefits

Dental insurance

Vision insurance

Flexible time off policy

RRSP matching

RESP contribution

Clioversary recognition program

Qualifications

• Deep experience in software development and data engineering.
• Proficiency in Python, SQL, and comfort with new technologies.

Responsibilities

• Implement data ingestion techniques using AWS technologies.
• Design and maintain data transformation pipelines from various sources.

Skills

Software Development

Data Engineering

Python

SQL

Scala

Ruby

Data Modeling

Collaboration

Mentoring

Tools

AWS

Terraform

Spark

Kafka

Airflow

Databricks

Job description

We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being exposed to new challenges and technologies while making an impact.

This role is available to candidates across Canada, excluding Quebec. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) then you will be expected to be in office twice per week on days of your choice. If you are not local to our hubs, then you may work remotely across Canada, but our offices are open to you if you would like to visit.

What your team does:

Our data engineering team is driven to deliver an incredible experience to our customers. As a Senior Data Engineer at Clio, you will build data pipelines and data warehouses from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new state of the art technologies, and are motivated by solving complex problems.

A day in the life might look like:

• Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools
• Design, build, and maintain data transformation pipelines consolidating various data sources (streaming or batch) into specific data lakes/data warehouses
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
• Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven

What you may have:

• Deep experience in software development as well as data engineering
• Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, striving to write elegant and maintainable code, and 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
• You are an advocate for the data trustworthiness and product excellence of the data platform you build
• You are a self-starter and can lead projects with minimum supervision
• You enjoy mentoring junior engineers and are invested in their growth

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days.
• Flexible time off policy, with an encouraged 20 days off per year.
• RRSP matching and RESP contribution
• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Clio is more than just a tech company - we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being exposed to new challenges and technologies while making an impact.

This role is available to candidates across Canada, excluding Quebec. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) then you will be expected to be in office twice per week on days of your choice. If you are not local to our hubs, then you may work remotely across Canada, but our offices are open to you if you would like to visit.

What your team does:

Our data engineering team is driven to deliver an incredible experience to our customers. As a Senior Data Engineer at Clio, you will build data pipelines and data warehouses from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new state of the art technologies, and are motivated by solving complex problems.

A day in the life might look like:

• Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools
• Design, build, and maintain data transformation pipelines consolidating various data sources (streaming or batch) into specific data lakes/data warehouses
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
• Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven

What you may have:

• Deep experience in software development as well as data engineering
• Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, striving to write elegant and maintainable code, and 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
• You are an advocate for the data trustworthiness and product excellence of the data platform you build
• You are a self-starter and can lead projects with minimum supervision
• You enjoy mentoring junior engineers and are invested in their growth