Data Engineer - II (Biometrics)

Role Purpose

At Jumio, we’re building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II, you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS.

What You’ll Do

Design, build, and maintain scalable and reliable 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, ensuring high data quality in production

Build and maintain systems to support model performance tracking and data drift monitoring

Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows

Contribute to data architecture decisions and best practices across the platform

Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure

What We’re Looking For

3–5 years of experience in Data Engineering, Data Platforms, or related roles

Strong proficiency in Python and SQL with experience in production systems

Hands-on experience with AWS services (S3, EC2, SageMaker or similar)

Solid experience building and managing Airflow (or similar orchestration tools)

Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design)

Experience working with large-scale datasets and distributed data systems

Experience supporting ML workflows, datasets, or evaluation pipelines

Strong problem-solving skills and ability to work independently in a fast-paced environment

Nice to Have

Experience with ML infrastructure, MLOps, or model evaluation workflows

Exposure to biometric systems or computer vision datasets

Familiarity with data quality frameworks, monitoring, and observability tools

Experience working in SaaS or high-scale production environments

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

About Jumio:

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.