Data Engineer

United States Digital Space LLC; Warsaw (IN); Hybrid; USD 63,000 - 91,000; Full time

Benefits offered by this job

Health insurance with dental

Lunch catering

Career growth budget

Home office setup budget

Gym/Fitness reimbursement

Fertility healthcare support

Mental health support

Group life insurance

MacBooks with accessories

Job summary

United States Digital Space LLC is seeking a Data Engineer to design and scale data products in a Warsaw-based, office-centric hybrid setting. You will work with business stakeholders and the Data Infrastructure team to deliver data-driven insights and tooling across marketing and analytics domains.

The role requires 3+ years in data or software engineering, a CS/Engineering degree, and proficiency with Databricks, Spark, Airflow, SQL and at least one of Python/Scala/Java.

Qualifications

• 3+ years of hands-on data engineering or software engineering experience.
• Degree in computer science, engineering or equivalent technical field.
• 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).
• Strong communication and ability to work with stakeholders.

Responsibilities

• Design, implement and scale end-to-end data products.
• Influence best practices in Databricks and cloud-based data engineering.
• Leverage AI to build self-serve tools and accelerate workflows.
• Establish trust and relationships across business and technical teams.

Skills

SQL

Python

Scala

Java

Data Pipelines

Education

Bachelor's or higher in CS/Engineering

Tools

Databricks

Spark

Airflow

Job description

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across the company. 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 the company Inc.)

• Contract of Employment (with50% 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

the company is a leading platform for human + AI collaboration. Millions of teams around the world rely on the company to achieve their most important goals, faster. the company 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 the company 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.*