Data Engineer II

Responsibilities

• Design, build, and maintain scalable data pipelines for dataset creation, transformation, and benchmarking
• Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows
• Write efficient, production-grade SQL and Python code for large-scale data processing and analysis
• Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines
• Improve pipeline performance, reliability, and observability
• Build and maintain systems to support model performance tracking and data drift monitoring
• Troubleshoot and resolve data issues across pipelines
• Contribute to data architecture decisions and best practices

Requirements

• 3–5 years of experience in Data Engineering or Data Platforms
• Strong proficiency in Python and SQL
• Hands-on experience with AWS services (S3, EC2, SageMaker)
• Experience building and managing Airflow or similar orchestration tools
• Strong understanding of ETL/ELT, data modeling, and pipeline design
• Experience working with large-scale datasets and distributed data systems
• Experience supporting ML workflows or evaluation pipelines

Preferred Qualifications

• Experience with MLOps or model evaluation workflows
• Exposure to biometric systems or computer vision datasets
• Familiarity with data quality frameworks and observability tools
• Experience in SaaS or high-scale production environments

About the Company

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes. We leverage AI, biometrics, and machine learning to create trusted identity verification and eKYC solutions for leading brands worldwide.