Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL / ELT processes by leveraging AWS technologies and big 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 :
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.
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 yearsThe full salary range\
for this role is $146,200 to $172,000 to $197,800 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location.
We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.Learn more about our culture at
Disclaimer :
We only communicate with candidates through official @clio.com email addresses.
is more than just a tech company–we are a global leader that is transforming the legal experience for all by while .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.
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.
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
to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system.
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