Data Engineer-II
Why Socure? 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 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 build scalable, secure data pipelines for both batch and real-time processing. • Support data systems that power machine learning, model inference, and analytics. • Write clean, production-ready code in Java, Scala, or Python. • Work with tools like Apache Spark, Kafka, Flink, Airflow, AWS EMR, and other AWS-native services. • Use graph data modeling and graph databases such as Neo4j or Amazon Neptune. • Optimize data architecture for performance, cost, and ease of maintenance. Collaboration: • Work closely with Data Science, Product, and Security teams to turn business needs into data solutions. • Participate in system design, code reviews, and sharing best practices with peers. What You Bring • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field. • 3-5 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. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook Apply tot his job