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Senior Data Engineer

As part of the Data Engineering team, you will play a key role in enabling company wide data informed decision making. Product and Business teams leverage our data assets to analyze and optimize user adoption, growth, and revenue.

This role is based in our San Francisco 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 analysis and reporting.
  • Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals.
  • Embrace broad ownership to expand your skills and influence the company’s data strategy.
  • Implement systems that guarantee data quality 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.
  • Proficient in data processing and storage technologies like AWS/S3/HDFS, Databricks, Redshift, Python/Scala/Java, SQL, Spark, Airflow.
  • Proactive and innovative in identifying and addressing bottlenecks in existing workflows.
  • Motivated to work closely with cross-functional partners to evolve our analytical data model.

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 $182,000 - $232,000. 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. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

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 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

About us

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world.

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. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

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Average salary estimate

$207000 / YEARLY (est.)
min
max
$182000K
$232000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer, Asana

Join Asana as a Senior Data Engineer in vibrant San Francisco, where you'll be an integral part of our Data Engineering team, driving company-wide data-informed decision-making. In this hybrid role, you'll collaborate with Product and Business teams to analyze and optimize user adoption, growth, and revenue. Picture this: you'll design, implement, and scale end-to-end data products that cater to our expanding data processing needs. Transforming raw data into actionable insights? That’s your daily bread! As you partner with data scientists, domain experts, and engineering teams, you'll help craft a roadmap that aligns perfectly with our overarching business goals. With 5+ years of experience in Data Engineering or Software Engineering under your belt, you'll confidently tackle tasks such as data modeling and building scalable pipelines with tools like AWS, Databricks, and SQL, all while embracing the challenge of ensuring data quality. At Asana, we champion diversity and inclusivity, urging all interested candidates to apply even if they don’t tick every box on the list. With a competitive compensation package that reflects your contributions, including a base salary ranging from $182,000 to $232,000, plus various benefits, Asana is dedicated to nurturing an equitable work environment. Explore this unique opportunity where your skills and insights will not only help shape our data strategy but also enhance the way teams orchestrate their work worldwide!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Asana
What are the primary responsibilities of a Senior Data Engineer at Asana?

As a Senior Data Engineer at Asana, your main responsibilities include designing, implementing, and scaling end-to-end data products, transforming raw data into actionable insights, and collaborating with cross-functional teams to align data strategies with business goals.

Join Rise to see the full answer
What qualifications are necessary for the Senior Data Engineer position at Asana?

To qualify for the Senior Data Engineer role at Asana, candidates should have at least 5 years of experience in Data Engineering or Software Engineering, proficiency in data processing technologies like AWS and SQL, and a strong background in building scalable data pipelines.

Join Rise to see the full answer
How does Asana ensure equitable compensation for the Senior Data Engineer position?

Asana is committed to equitable compensation, reflected through a yearly pay equity audit ensuring that base salaries are aligned with market value. For the Senior Data Engineer role, the pay range is between $182,000 and $232,000, tailored to individual qualifications and market factors.

Join Rise to see the full answer
What tools and technologies will I be using as a Senior Data Engineer at Asana?

In the Senior Data Engineer role at Asana, you'll be using a variety of technologies including AWS, Databricks, Redshift, Spark, Python, Scala, SQL, and Airflow to build data models and manage complex data transformations efficiently.

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What kind of work environment can I expect at Asana as a Senior Data Engineer?

Asana fosters an office-centric hybrid work environment, allowing Senior Data Engineers to work in-office on designated days while promoting flexible remote work options, supporting both collaboration and individual productivity.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with data modeling relevant to the Senior Data Engineer role?

In answering this question, detail your past experience with data modeling projects, emphasizing the tools you used, the scale of the data, and how your models contributed to actionable insights in previous roles.

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Describe a challenge you faced in data engineering and how you overcame it.

Share a specific example where you encountered a data bottleneck or quality issue, and explain the steps you took to identify the problem, the methodologies you applied to resolve it, and the impact of your solution on the project or team.

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How do you ensure data accuracy and reliability in your work?

Discuss specific strategies you've implemented to maintain data integrity, such as validation checks, automated testing, and monitoring systems that you have developed or improved to ensure high data quality.

Join Rise to see the full answer
What experience do you have with cloud platforms and big data technologies?

In your answer, highlight your proficiency with cloud platforms like AWS or Google Cloud, and discuss specific big data technologies like Spark or Hadoop that you've utilized in past projects, providing examples of how you've used them to drive results.

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How would you approach designing an end-to-end data pipeline?

Outline your thought process from understanding the data sources and requirements to selecting the appropriate technologies, planning for data flow, and establishing monitoring and maintenance protocols for the pipeline.

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Tell us about a successful project you worked on as a Data Engineer.

Share a detailed narrative about a project where you played a significant role, including the challenges faced, your contributions, and the positive outcomes achieved, demonstrating your ability to add value as a Senior Data Engineer.

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How do you stay updated with the latest trends in data engineering?

Mention specific resources you follow, such as industry blogs, forums, or online courses, and discuss how you’ve applied new knowledge or technologies in your recent work to keep your skills fresh.

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What role do you think a Senior Data Engineer has in cross-functional teams?

Emphasize the importance of collaboration as a Senior Data Engineer, noting how you can bridge gaps between technical and non-technical stakeholders, ensuring that data strategies align with broader business objectives.

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In your view, what is the most important attribute for a Senior Data Engineer?

Consider discussing attributes such as problem-solving skills, adaptability, or strong communication, and provide examples of how these attributes have helped you succeed in your previous data engineering roles.

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How do you handle tight deadlines and multiple projects in data engineering?

Discuss your organizational and prioritization strategies, providing insights into how you've effectively managed your workload while still delivering quality results under pressure in previous positions.

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Asana is a software development company offering a collaborative work management platform. The company is headquartered San Francisco, California and we are committed to enabling the world's teams to work together effortlessly.

47 jobs
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BADGES
Badge ChangemakerBadge Diversity ChampionBadge Family FriendlyBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 18, 2025

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