- Search jobs
- Vancouver, BC
- big data engineer
Big data engineer Jobs in Vancouver, BC
Create a job alert for this search
Big data engineer • vancouver bc
Data Engineer
LaterVancouver, British Columbia, CanadaData Analytics Engineer
IgnitionVancouver, British Columbia, CanadaData Engineer
REW.caVancouver, BC, CAData Engineer
SlalomVancouverSenior Data Engineer
IRENVancouverSenior Product Marketing Manager
Insight GlobalVancouver, BCLead Product Designer (B2B Audience Data Platform)
Two CirclesVancouver, BC, CASenior Big Data Developer
Royal Bank of Canada>VANCOUVER, CanadaData Engineer
VancityVancouver, BC, CAPrincipal Data Engineer
Vancouver Coastal HealthVancouver- Thunder Bay, ON (from $ 153,488 to $ 164,549 year)
- North Bay, ON (from $ 141,672 to $ 163,486 year)
- Montreal-Ouest, QC (from $ 153,338 to $ 157,769 year)
- Montreal, QC (from $ 153,338 to $ 157,769 year)
- Quebec City, QC (from $ 115,000 to $ 157,741 year)
- Mississauga, ON (from $ 129,575 to $ 157,083 year)
- Vancouver, BC (from $ 115,000 to $ 156,494 year)
- St. John's, NL (from $ 115,000 to $ 156,494 year)
- Old toronto, ON (from $ 115,000 to $ 156,228 year)
- East York, ON (from $ 115,000 to $ 156,063 year)
Popular searches
Data Engineer
LaterVancouver, British Columbia, Canada- Permanent
Later is building out the data team and is looking for a Data Engineer to streamline the collection, transformation, and storage of data using the latest technologies in cloud computing. As a Data Engineer, you will partner with data scientists and analysts to design and implement pipelines to support machine learning and business intelligence across the entire organization.
This position is the perfect opportunity to work across the full data stack, finding solutions that are both scalable and secure. From requirements gathering to writing production code, you will work closely with the data science and backend teams to draft and implement the data road map.
What you'll be doing :
- Designing and coding the complete data pipeline including ingestion of raw event data, storage, and warehousing
- Writing, scheduling, and documenting ETL jobs
- Optimize data infrastructure for performance, scalability, and reliability
- Develop and enforce data governance and security policies to protect sensitive information
- Monitor and troubleshoot data pipelines and systems to identify and resolve issues in a timely manner
- Stay up-to-date with industry trends and best practices in data engineering and apply them to improve our data infrastructure
- Requirements gathering across product, finance, and marketing for BI capabilities
- Collaborating with back end team to ensure consistency and accuracy of data
- Facilitating deployment of ML models at scale
We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!
Our approach to compensation :
We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.
Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission / variable) while for others it is structured as Salary only.
To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.
Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package.
Salary Range :
$130,000 - 154,000 CAD
Some perks of being on our team :
Where we work
We hire into our hub cities of Boston, MA; Vancouver, BC; Toronto, ON. We also have team members based remotely for select positions. We post our positions in the hub location(s) where we are open to having the successful candidate be located.