Data Engineer II (with MLOps)

Airslate; Poland; Hybrid; PLN 140,000 - 230,000; Full time

Benefits offered by this job

Flexible work

Stock options

Growth opportunities

Health benefits

Job summary

airSlate is seeking a Data Engineer to design and maintain scalable data pipelines in AWS, focusing on analytics and ML readiness. You will develop SQL transformations, build data warehouses, and ensure data quality while supporting ML data preparation.

The role collaborates across distributed teams with a proactive mindset and strong English communication. It offers flexible, remote/hybrid work across global hubs and a competitive package including stock options and growth opportunities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 2-4+ years in Data Engineering, Analytics Engineering, or backend data-focused role.
• Hands-on experience designing and maintaining data pipelines and data warehouse solutions in AWS.
• Strong SQL for transformations and data modeling.

Responsibilities

• Design and maintain scalable data pipelines in AWS for analytics and ML use cases.
• Develop SQL transformations and analytical datasets for BI and predictive workloads.
• Build reliable ETL/ELT processes with monitoring and data quality checks.
• Enable integration of AI/LLM-powered capabilities through robust data services.

Skills

SQL

Python

Data modeling

Analytical thinking

Team collaboration

English fluency

Education

CS/DS degree

Tools

AWS

Redshift

S3

Lambda

CloudWatch

ETL/ELT

Job description

About airSlate

airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.

We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in theUnited States, Poland, Romania, Ukraine and Philippines.

At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.

About the Marketing Engine team

The marketing team handles comprehensive 360º communication and comprises over 150 people. We manage all aspects in‑house and operate a robust automation engine. Our combined monthly traffic across all brands exceeds 31 million. As a marketing team member, you'll play a crucial role in the upcoming phase of our brand's growth as we expand and introduce new products to the market.

• Design and maintain scalable batch data pipelines in AWS to power analytics and ML use cases.
• Develop and optimize SQL transformations and analytical datasets for BI and predictive workloads.
• Build reliable ETL/ELT processes with monitoring and data quality checks.
• Create feature-ready datasets and support feature engineering pipelines for ML initiatives.
• Deliver production-grade data to support elasticity modeling and advanced performance analytics.
• Design data infrastructure for A/B testing and measurable experimentation.
• Develop ingestion pipelines for marketing and campaign analytics.
• Contribute to CI/CD-driven MLOps workflows for model deployment and monitoring in AWS.
• Collaborate on data governance, cost optimization, and scalable architecture decisions.
• Enable integration of AI and LLM-powered capabilities through robust, future-ready data services.
• A Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field - or equivalent practical experience
• 2-4+ years in Data Engineering, Analytics Engineering, or a backend data-focused role
• Hands-on experience designing and maintaining data pipelines and data warehouse solutions in AWS
• Strong SQL - efficient transformations, query optimization, and analytical data modeling
• Proficiency in Python for data processing and pipeline development
• Practical experience with ETL/ELT processes, data warehousing concepts (dimensional modeling), and data quality best practices
• Familiarity with core AWS services such as S3, Redshift, Lambda, and CloudWatch
• Awareness of ML data preparation and feature engineering workflows - you don't need to build models, but you'll support the people who do
• Strong analytical thinking, clear communication, and a collaborative mindset across distributed teams
• Fluent English, written and spoken
• Experience contributing to MLOps workflows and CI/CD for ML models.
• Exposure to A/B testing infrastructure and experimentation frameworks.
• Familiarity with AI/LLM integration in product environments.
• Experience in marketing analytics or campaign data pipelines.
• A proactive mindset with a strong sense of ownership and curiosity about emerging AI trends.

What we offer

• Flexible working environment - Our teams operate across the globe. We value in-person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
• Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
• Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
• Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company‑wide Mental Health Days, when everyone takes time off to rest and recharge.
• Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company‑wide family days and our pet‑friendly approach, we’re committed to making work and life easier to balance.
• Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
• Open communication - We encourage transparent dialogue at all levels. From team discussions to company‑wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.

It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.

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