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
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Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking
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Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows
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Write efficient, production-grade SQL and Python code for large-scale data processing and analysis
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Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines
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Improve pipeline performance, reliability, and observability, ensuring high data quality in production
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Build and maintain systems to support model performance tracking and data drift monitoring
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Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows
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Contribute to data architecture decisions and best practices across the platform
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Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure
What We’re Looking For
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3–5 years of experience in Data Engineering, Data Platforms, or related roles
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Strong proficiency in Python and SQL with experience in production systems
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Hands-on experience with AWS services (S3, EC2, SageMaker or similar)
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Solid experience building and managing Airflow (or similar orchestration tools)
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Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design)
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Experience working with large-scale datasets and distributed data systems
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Experience supporting ML workflows, datasets, or evaluation pipelines
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Strong problem-solving skills and ability to work independently in a fast-paced environment
Nice to Have
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Experience with ML infrastructure, MLOps, or model evaluation workflows
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Exposure to biometric systems or computer vision datasets
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Familiarity with data quality frameworks, monitoring, and observability tools
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Experience working in SaaS or high-scale production environments
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities :
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
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.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [email protected] .