
Senior Data Engineer
At a glance
Highlights
- Hybrid schedule
- Competitive base salary
- Equity inclusion
- Comprehensive benefits
- Inclusive team
Heads up
- Hybrid schedule with core in-office days
- Limited remote days on Fridays
- 5+ years experience required
Why this role might suit you
The position provides exposure to large-scale data platforms, collaboration with product and data science teams, and the opportunity to shape analytical infrastructure in a fast-growing company, all within a supportive and inclusive culture.
Skills
About the role
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Design, implement, and scale end-to-end data products that support growing data processing and analytical needs
Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting
Leverage AI to build self-serve tools and accelerate Data/GTM workflows
Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals
Implement systems that guarantee data quality, governance, and availability
About you
5+ years of experience in Data Engineering or Software Engineering
Experience in data modeling and building scalable data pipelines involving complex transformations
Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow
Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows
Motivated to work closely with cross-functional partners to evolve our analytical data model
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between CAD $138,000 - $168,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
#LI-Hybrid
Compensation
This Data Engineer role pays $138k-$168k/yr. Within typical range for data engineer roles in Canada.
Questions about this role
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