Data Reliability Engineer

Alegeus•Boston, MA

1d•$88,000 - $149,900•Hybrid

About The Position

Join our team at Alegeus, where you’ll experience unmatched opportunity and a culture that cares deeply about succeeding together. As a Sr. Data Engineer, you’ll play a critical role in designing and scaling the platforms, services, and frameworks that power data consistency, accuracy, reporting, and decision-making across the organization. Collaborate with dedicated colleagues, embrace a spirit of innovation, and build an enriching career with us. OPPORTUNITY HAPPENS HERE — REALIZE YOURS Alongside the best and the brightest, you will regularly: Design and build scalable data pipelines that capture, refresh, validate, and reconcile data across distributed systems, ensuring accuracy, traceability, and reliability. Develop modern Java-based microservices and APIs that power data movement, comparison workflows, and platform capabilities used across the business. Help shape the future of reporting by building a unified self-service reporting platform and migrating existing reporting solutions into a modern, scalable environment. Partner with engineering, analytics, and business teams to deliver high-performance data solutions that support dashboards, insights, and operational decision-making. Drive platform reliability and operational excellence by diagnosing complex data and pipeline issues, continuously improving performance, resiliency, and scalability. Contribute to cloud-native infrastructure, CI/CD pipelines, and deployment automation that enable rapid delivery and innovation across the Data Analytics Platform.

Requirements

Strong ability to design and support distributed data platforms, build scalable backend services, develop complex SQL-based solutions, troubleshoot data quality issues, and deliver reliable, high-performing solutions in a microservices architecture.
5+ years of software engineering experience with strong expertise in Java, Spring, Kafka, SQL, and Spark, including building scalable microservices, REST APIs, and data processing platforms.
Experience with Snowflake, distributed systems, data validation and reconciliation frameworks, and modern deployment practices using CI/CD, Docker, and Kubernetes.
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent combination of education and experience.

Responsibilities

Design and build scalable data pipelines that capture, refresh, validate, and reconcile data across distributed systems, ensuring accuracy, traceability, and reliability.
Develop modern Java-based microservices and APIs that power data movement, comparison workflows, and platform capabilities used across the business.
Help shape the future of reporting by building a unified self-service reporting platform and migrating existing reporting solutions into a modern, scalable environment.
Partner with engineering, analytics, and business teams to deliver high-performance data solutions that support dashboards, insights, and operational decision-making.
Drive platform reliability and operational excellence by diagnosing complex data and pipeline issues, continuously improving performance, resiliency, and scalability.
Contribute to cloud-native infrastructure, CI/CD pipelines, and deployment automation that enable rapid delivery and innovation across the Data Analytics Platform.