Data Engineer

Swim Recruiting; Vancouver; On-site; CAD 80,000 - 100,000; Full time

Job summary

Join a dynamic and innovative team as a Data Engineer in a hybrid work environment. This role offers a fantastic opportunity to contribute to a large-scale business transformation while working with cutting-edge technology. You will design and implement scalable data solutions across cloud platforms, including Azure and AWS, with a strong focus on Snowflake. Collaborate with a talented team, guiding technical solutions and ensuring best practices in data engineering. This is your chance to make a significant impact in a well-respected Canadian brand known for its corporate culture and technological investments.

Qualifications

• 5+ years experience as a data engineer.
• Hands-on expertise in Snowflake and ETL processes.

Responsibilities

• Design and implement scalable data solutions across cloud platforms.
• Develop and maintain data pipelines and ensure smooth orchestration.

Skills

Snowflake

SQL

ETL Processes

Azure Data Factory (ADF)

AWS

Databricks

Kafka

API Integrations

Documentation Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Confluence

draw.io

Job description

6 month Data Engineer contract role with a growing team.

• 6-month Data Engineer contract.
• Great chance to be part of a large-scale business transformation.
• Hybrid work environment in Vancouver, 3 days a week in office.

What & Why:
As a result of growth our client is looking to add a contract data engineer to their growing team. This role is responsible for designing and implementing scalable data solutions across cloud platforms including Azure and AWS, with a strong focus on Snowflake. The role involves developing and maintaining data pipelines, transforming and integrating complex datasets, and leading best practices around data engineering processes and documentation. As a subject matter expert, the individual will guide the team on technical solutions, perform DevOps tasks, and ensure smooth orchestration of data workflows, while also creating clear, comprehensive documentation and supporting knowledge transfer. This is a great chance to join this team as they continue to invest in cutting edge technology.

Who:
This client is one of the most recognizable Canadian brands, a true Vancouver success story who has expanded globally. They are well known for their corporate culture and has won major awards for their accomplishments. They have invested majorly in technology and have had an incredibly successful past few years, including a major strategic acquisition. They have an all-star leadership team who keeps you accountable and provides support while still affording you tremendous autonomy. They are located close to rapid transit in newly renovated offices in downtown Vancouver and have a hybrid work arrangement, 3 days a week in office.

You:
You will bring the following education, skills and experience to the role:

• 5+ years experience as a data engineer.
• Hands-on expertise in Snowflake, including Snowpipe, advanced SQL, and end-to-end ETL processes.
• Proven experience developing and orchestrating data pipelines across Azure (ADF), AWS, and Snowflake.
• Familiarity with modern data tools such as Databricks, Kafka, API integrations, and APIgee.
• Strong documentation skills using tools like Confluence and draw.io, with a process-oriented mindset.

Compensation:
This role pays between $70-80 per hour.

Next Steps:
If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.