Data Engineer

6-month Data Engineer contract role with a team focused on delivering people analytics solutions.

• 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.

As a result of growth, our client is looking to add a contract data engineer to their growing people analytics team. This is a newly formed team focused on automating their core health and wealth offerings for their people enablement technology team. In this role, you will be a problem solver and an expert in ETL programming/scripting, data modelling, data integration, SQL, and have exemplary communication skills. You will need to be comfortable with ambiguity in a fast-paced and ever-changing environment and able to think big while paying careful attention to detail. You will know and love working with new technologies, can model multidimensional datasets, and can partner with cross-functional business teams to answer key business questions.

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 have 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 with 3 days a week in office.

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

• 3+ years of experience as a Data Engineer or in a similar role.
• 3+ years’ experience in Snowflake, Airflow, and Databricks.
• Proficiency in Python.
• Experience with any of the cloud systems – Azure, AWS, or GCP.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture.
• Experience with Databricks and PySpark.
• Familiarity with one of the DevOps tools like Azure DevOps or GitLab.

This role pays between $75-90 per hour.

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.