Data Engineer II (with MLOps)

airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Their products include SignNow, pdfFiller, DocHub, airSlate WorkFlow, Instapage, and US Legal Forms, serving hundreds of millions of users and over one million customers worldwide. The company has teammates in more than 20 countries across three continents with main hubs in the United States, Poland, Romania, Ukraine, and the Philippines.

• Proven experience designing and maintaining scalable data pipelines in AWS.
• Strong SQL skills and experience building analytical datasets for BI and ML.
• Hands-on experience with ETL/ELT processes and data quality best practices.
• Understanding of ML data preparation and feature engineering workflows.
• Experience supporting production systems with reliability and performance in mind.
• Solid knowledge of cloud-based data architecture and cost optimization principles.
• Ability to collaborate effectively across teams and translate business needs into technical solutions.

Nice to have:

• 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.

• 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.

• Flexible working environment with options for remote, hybrid, or office work in the United States, Poland, Romania, or Ukraine.
• Competitive compensation reflecting local market conditions plus performance-based bonus system and stock options.
• Professional growth through courses, conferences, and access to learning resources.
• Comprehensive health and well-being benefits tailored to each country, including wellness programs and fitness options.
• Quarterly company-wide Mental Health Days.
• Family-friendly culture with flexibility for parents, airSlate Junior Club for kids, company-wide family days, and pet-friendly policies.
• Support for charitable initiatives through the airSlate Care programme, including humanitarian aid and matching employee donations.
• Open communication with transparent dialogue and company-wide Q&A sessions with the CEO.

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 protected characteristics. Assistance or accommodations during the application process are available upon request. airSlate considers qualified applicants with arrest and conviction records where applicable by law.