Senior Data Engineer

Résumé du poste

Design, implement, and scale end-to-end data products to support analytical needs and drive product strategy. Partner with cross-functional teams to build self-service analytics platforms and ensure high data quality and availability.

Détails du poste

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 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network [https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db] to stay up to date on job opportunities and life at Asana.

Ce que vous ferez

Design, implement, and scale end-to-end data products to support analytical needs and drive product strategy. Partner with cross-functional teams to build self-service analytics platforms and ensure high data quality and availability.

Exigences

Requires 5+ years of experience in Data Engineering or Software Engineering with proficiency in data modeling and scalable pipeline construction. Candidates should have strong technical skills in Python, SQL, Spark, and cloud storage technologies.

Avantages

• Mental health benefits • Wellness benefits • Fitness benefits • Career coaching • Inclusive family building benefits • Long-term savings plans • Retirement plans • In-office culinary options

Compétences indiquées

• SQL · Souhaitée
• Amazon Web Services · Souhaitée
• Java · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Engineering
• Data Modeling
• Data Pipelines
• Databricks
• AWS
• S3
• Python
• Scala
• Java
• SQL
• Spark
• Airflow
• AI tools
• Data Governance
• Data Quality
• Analytical modeling

Domaines d’emploi

• Data & Analytics
• Technology
• Software
• Engineering