Senior Data Engineer

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us!

About the Role Socure is seeking a talented and motivated Senior Data Engineer to join our Identity Graph team. This role involves designing, developing, and optimizing our core identity verification and fraud detection data services. You will significantly influence the performance, scalability, and reliability of Socure’s foundational platform.

What You'll Do

Data Platform Engineering

• Design and implement scalable, secure, and high-performing data pipelines for both batch and real-time processing.

• Build and maintain data systems that power machine learning features, model inference, and analytics.

• Develop high-quality, production-grade code in Java, Scala and python

• Work with technologies like Apache Spark, Kafka, Flink, Airflow, AWS EMR and cloud-native data services on AWS

• Apply graph data modeling techniques and leverage graph databases such as Neo4j or Amazon Neptune.

• Optimize data architectures for cost, performance, and maintainability.

Technical Collaboration

• Collaborate with cross-functional teams including Data Science, Product, and Security to translate business needs into robust data solutions.

• Participate in system design discussions, code reviews, and knowledge sharing to promote engineering excellence.

• Ensure all solutions comply with privacy regulations and PII protection standards.

Innovation and Best Practices

• Stay current with advances in data engineering, machine learning infrastructure, and cloud-native technologies.

• Contribute to the evolution of Socure’s data engineering best practices, including CI/CD, testing, and monitoring.

• Participate in open-source initiatives and represent Socure in technical forums when possible.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field.

• 7+ years of experience building and supporting complex data systems and applications in cloud environments.

• Strong proficiency in Java, Scala or python

• Deep knowledge of distributed data processing frameworks (e.g., Spark, Kafka, Flink).

• Hands-on experience with cloud services (AWS)and containerized environments (Docker, Kubernetes).

• Understanding of software design patterns, data structures, and DevOps/CI-CD best practices.

• Experience in working with Airflow or other data pipeline orchestration services

• Familiarity with building ML data pipelines (e.g., with Databricks, SageMaker, or similar platforms)

• Experience in developing and utilizing scalable, high-performance APIs.

• Additional points for Experience with graph databases and graph algorithm

Socure is an equal opportunity employer and values diversity of all kinds at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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