Senior Backend Engineer, Data Engineering

Socure

full-time

Posted on: 9/3/2025

Location: 🇺🇸 United States

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💰 $170,000 - $185,000 per year

Senior

AirflowAWSCloudDynamoDBETLGoJavaKafkaPythonRedisSparkSQL

About the role

At Socure—verify identities and eliminate fraud using ML and predictive analytics.
Design, build, and maintain scalable data pipelines to collect, clean, transform, and aggregate large-scale device and behavioral signals.
Build and support real-time velocity systems that compute session-level and user-level aggregations with sub-second latency.
Develop and manage data infrastructure such as data lakes and data warehouses.
Optimize data architectures for performance, scalability, cost efficiency, and maintainability.
Collaborate with ML engineers, data scientists, and product stakeholders to ensure data availability, reliability, and privacy compliance.
Maintain and enhance orchestration workflows; automate workflows and monitoring systems.
Ensure data quality, consistency, and security across systems; implement best practices in data modeling, schema evolution, and pipeline observability.
Document systems and processes for internal use and compliance.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
5+ years of experience building and maintaining large-scale data systems and pipelines in cloud environments.
Strong programming experience in Python, Go, or Java.
Proficiency in SQL.
Understanding of data modeling, ETL/ELT processes, and data warehousing.
Deep experience with distributed processing frameworks such as Spark, Kafka, and Flink.
Hands-on experience with AWS services including Glue, Kinesis, EMR, Lambda, and DynamoDB.
Experience with orchestration tools such as Airflow or AWS Step Functions.
Understanding of real-time data processing, event-driven architectures, and stream processing patterns.
Familiarity with machine learning workflows and data requirements.
Strong problem-solving and communication skills.