Data Engineer in Asana

The Enterprise Data & Insights (EDI) team at Asana is tasked with building powerful decision-making data products, integrations, process automation, tools, and analytical reports. We are looking for a driven Data Engineer to add to our growing team who will be foundational to the company’s operations by supporting the business and finance teams. You will accelerate the business by connecting systems and data seamlessly. 

The right candidate will have a unique mix of technical and strategic skills and has a deep understanding of our business and what is important, but can also proactively develop and maintain tools, automation, and analytics to help us achieve our ambitious goals.

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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

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 224,000 PLN - 358,000 PLN (gross yearly). 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 you

• Minimum 6 years of experience in designing and building integration and data solutions for business handling large volumes of data and building scalable systems
• Experience with Enterprise iPass platforms: Snaplogic, Dell Boomi, Mulesoft, etc. (we use Snaplogic!)
• Data visualization skills using business intelligence solutions including at least one of Looker, Tableau, Periscope, Pentaho, or Microstrategy
• Experience designing and building analytical data models optimized for performance, scalability, and analytical consumption.
• Experience troubleshooting, optimizing, and performance tuning SQL scripts for efficient compute and storage techniques in Snowflake DW. Strong SQL skills, with the ability to write complex SQL, do cohort analysis, comparative analysis, and ELT transformations
• Fluency in at least one modern language useful for data processing (e.g. Python, Scala)
• Hands-on experience in building solutions with AWS S3, Redshift, Snowflake (Snowflake certification desired but not required)
• Experience in building integration solutions with various enterprise cloud applications like, but not limited to Salesforce, Marketo, NetSuite, and Zendesk
• Experience supporting business teams and good understanding of their processes and systems like CPQ, Marketing Automation, and Lead-to-Opportunity.

The Enterprise Data & Insights (EDI) team at Asana is tasked with building powerful decision-making data products, integrations, process automation, tools, and analytical reports. We are looking for a driven Data Engineer to add to our growing team who will be foundational to the company’s operations by supporting the business and finance teams. You will accelerate the business by connecting systems and data seamlessly. 

The right candidate will have a unique mix of technical and strategic skills and has a deep understanding of our business and what is important, but can also proactively develop and maintain tools, automation, and analytics to help us achieve our ambitious goals.

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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

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 achievingour 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 224,000 PLN - 358,000 PLN (gross yearly). 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.

,[You will design, build and deliver scalable data pipelines based on modern cloud-based architectures and build out new API integrations., You will build analytical solutions that unlock actionable insights through data analysis, investigation, and visualization, You will collaborate with business and analysts to build solutions for complex systems and data platforms that support the growth of our revenue , You will ensure your pipelines and code adhere to engineering best practices by incorporating data quality, accuracy and security principles. , Establish trust and strong relationships across the technical and business teams. , Work cross-functionally with different teams and on different projects as required, and with other Enterprise Technology teammates to support shared systems, data, and infrastructure, Act as an owner and ultimate escalation point for the data solutions and integrations you build, Create accurate and clear technical documentation; develop support processes and procedures; and support hand-off to peers/organizational units] Вимоги: Enterprise iPass, Snaplogic, Dell Boomi, MuleSoft, Looker, Tableau, Periscope, Pentaho, MicroStrategy, SQL, Snowflake, Python, Scala, AWS S3, Redshift, Salesforce, Marketo, NetSuite, Zendesk, CPQ, Marketing Automation Бонуси та переваги: Private healthcare, Mental health care, Sport subscription, Training budget, Coaching, Long-term savings or retirement plans, Free coffee, Canteen, Modern office, No dress code, In-house trainings, In-officeculinary options.