Time since we first saw it
Day 86
Up longer than most. Similar jobs usually come down between day 6 and day 55.
From 13,007 similar postings that came down. Coming down is not always a hire.
Data Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, implement and scale end-to-end data products
Build data artifacts used by marketing and other stakeholders
Create frameworks and tooling used by all data and analytics engineering teams
Leverage AI to build self-serve tools and accelerate Data/GTM workflows
Implement systems that guarantee data quality, governance, and availability
From the employer’s posting
Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain
create frameworks and tooling used by all data and analytics engineering teams.
Leverage AI to build self-serve tools and accelerate Data/GTM workflows.
Implement systems that guarantee data quality, governance, and availability.
What you’ll bring
All qualificationsCore experience
- 3+ years of hands-on experience in Data Engineering or Software Engineering.
- Degree in computer science, engineering or equivalent technical field experience.
- Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow.
- Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
Qualification wording
3+ years of hands-on experience in Data Engineering or Software Engineering.
Degree in computer science, engineering or equivalent technical field experience.
Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow.
Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
About Asana
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 17, 202686 days ago
- Recorded sightings
- 94
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Asana is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
- 25% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- SQL
- Databricks
- Spark
- Airflow
Where the posting names them
- Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. - Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java). - Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
- Design, implement and scale end-to-end data products that support growing data processing and analytical needs. - Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams. - Leverage AI to build self-serve tools and accelerate Data/GTM workflows.
- Degree in computer science, engineering or equivalent technical field experience. - Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. - Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
Your next step
Complete your application on www.asana.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About Asana
- People
- About 1,767 in 2026, down 3% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as ASAN.
- H-1B visas
- 12 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team.
This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements.
We offer a Contract of Employment (UoP) for our employees in Poland.
What you’ll achieve
- Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
- Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
- Leverage AI to build self-serve tools and accelerate Data/GTM workflows.
- Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution.
- Implement systems that guarantee data quality, governance, and availability.
About you
- 3+ years of hands-on experience in Data Engineering or Software Engineering.
- Degree in computer science, engineering or equivalent technical field experience.
- Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow.
- Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
- Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
- Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
- Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
What we'll offer
- Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.)
- Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers)
- Health insurance with dental and travel coverage (Lux Med)
- Lunch catering on the days that you work from the office
- Career growth budget
- Home office setup budget
- Gym/Fitness reimbursement
- Fertility healthcare and family-forming support with Carrot
- Mental health support in Modern Health
- Group life insurance
- MacBooks with all necessary accessories
For this role, the estimated base salary range is between 20,833 - 30,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.
Our total compensation consists of base salary and equity (RSUs).
#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 to stay up to date on job opportunities and life at Asana.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw
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 a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team. This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland.
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.