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Data Engineer II (with MLOps)

3 months, 1 week ago
Poland
Full-time
Mid Level
Data Engineer
Data Science and Analytics
AWS CI/CD Feature Engineering LLM Machine Learning MLOps SQL
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airSlate

airSlate

airSlate provides document workflow automation solutions with intuitive design, secure eSignatures, and customizable no-code Bots for streamlined business processes.

Professional Services
251-1K
Founded 2006
$182M raised
View All Jobs 9

Description

  • Design and maintain scalable batch data pipelines in AWS for analytics and machine learning 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 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.
  • 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.
  • Experience contributing to MLOps workflows and CI/CD for ML models (preferred).
  • Exposure to A/B testing infrastructure and experimentation frameworks (preferred).
  • Familiarity with AI/LLM integration in product environments or experience in marketing analytics/campaign data pipelines (preferred).

Benefits

  • Flexible working environment with remote and hybrid options across multiple countries.
  • Competitive compensation with stock options and a performance-based bonus system.
  • Professional growth and learning support, including courses, conferences, and learning resources.
  • Comprehensive health and well-being benefits, including health coverage, wellness programmes, and fitness options.
  • Quarterly company-wide Mental Health Days.
  • Family-friendly culture with flexibility for parents, company-wide family days, and a pet-friendly approach.
  • Support for charitable initiatives through the airSlate Care programme.

Interested in this position?

Apply directly on the company website

Apply Now

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