Data Platform Software Engineer

Job summary

As a leading financial services and healthcare technology company based on revenue, SS&*** is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&*** for expertise, scale, and technology.

Benefits

Qualifications

• Education
• Bachelor’s or Master’s degree in Computer Science , Data Engineering, or a related field.
• Experience
• 3 + years of experience in software and data engineering, with a strong focus on cloud-based data platforms.
• Technical

Responsibilities

• In this role, you will design, code, implement, support, and optimize a cloud-native data stack that leverages best-in-class open-source
• Data Pipelines
• Develop and maintain robust, fault-tolerant data ingestion and transformation pipelines using Java, Python, Apache Flink, Spark, and Trino.
• Define flexible and scalable data schemas using Apache Iceberg.
• Support both batch and real-time data processing, including integration with Apache Kafka.
• Ensure reliability, observability, and integrity of data pipelines.
• Metadata Management & Data Governance
• Support metadata management platforms such as DataHub for data cataloging, lineage, and governance use cases.
• Collaborate with data stakeholders to align metadata solutions with organizational needs.
• Enforce governance policies related to data quality, privacy, and compliance (e.g., GDPR, CCPA).
• Implement fine-grained access controls, encryption, and auditing with a focus on regulatory compliance and data traceability.
• Automation & CI/CD

Skills

Degrees

Industry

Company size