Data Engineer II (with MLOps)

About airSlateairSlate 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 the United 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.What you'll be working on: 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.What we expect from you:A Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field — or equivalent practical experience2-4+ years in Data Engineering, Analytics Engineering, or a backend data-focused roleHands-on experience designing and maintaining data pipelines and data warehouse solutions in AWSStrong SQL — efficient transformations, query optimization, and analytical data modelingProficiency in Python for data processing and pipeline developmentPractical experience with ETL/ELT processes, data warehousing concepts (dimensional modeling), and data quality best practicesFamiliarity with core AWS services such as S3, Redshift, Lambda, and CloudWatchAwareness of ML data preparation and feature engineering workflows — you don't need to build models, but you'll support the people who doStrong analytical thinking, clear communication, and a collaborative mindset across distributed teamsFluent English, written and spokenWhat helps you stand out: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 offerFlexible 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