TL;DR

Data Engineer II (MLOps, AI): Designing and maintaining scalable data pipelines in AWS to power analytics and ML use cases, including ETL/ELT, data quality, and feature engineering with an accent on MLOps workflows for model deployment and monitoring, and enabling AI/LLM-powered capabilities. Focus on designing data infrastructure for A/B testing and measurable experimentation, and ensuring production-grade data delivery for advanced performance analytics.

Location: Remote (Global), with offices in the United States, Poland, Romania, and Ukraine. This role is also available as hybrid in Wroclaw, Poland.

Company

airSlate is a global SaaS technology company developing no-code workflow automation, electronic signature, and document management solutions that serve hundreds of millions of users worldwide.

What you will do

  • 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.
  • Contribute to CI/CD-driven MLOps workflows for model deployment and monitoring in AWS.
  • Enable integration of AI and LLM-powered capabilities through robust, future-ready data services.

Requirements

  • 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.
  • 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.

Culture & Benefits

  • Flexible working environment with remote and hybrid options across many countries.
  • Competitive compensation, performance-based bonuses, and stock options.
  • Investment in professional growth through courses, conferences, and learning resources.
  • Comprehensive health benefits, wellness programs, and quarterly Mental Health Days.
  • Family-friendly culture with flexibility for parents and company-wide family days.
  • Commitment to charitable initiatives through the airSlate Care programme.