Senior Data Platform Engineer - Distributed Backend

LexisNexis Legal & Professional group; Dayton (OH); On-site; USD 95,000 - 159,000; Full time

Job summary

LexisNexis Risk Solutions in Dayton, OH is seeking an experienced Software Engineer to design and develop software within the Data Vault platform, delivering scalable backend services for data ingestion, orchestration, and downstream delivery.

You will mentor engineers, address production issues, and help set engineering practices across development, testing, deployment, and operations, collaborating with product stakeholders to translate complex requirements into reliable solutions.

Qualifications

• 7+ years of professional Software Engineering experience.
• BS in Engineering, Computer Science, or a related discipline, or equivalent practical experience.
• Experience developing and supporting production backend, distributed, data-intensive, or cloud-native systems.

Responsibilities

• Design, develop, test, deploy, and maintain software supporting large-scale data ingestion and processing workflows.
• Interface with technical personnel, product stakeholders, architects, and team members to understand and finalize complex requirements.
• Translate product, data, and operational requirements into scalable and maintainable software designs.
• Write and review detailed specifications and technical designs for complex system components and cross-system changes.
• Mentor less-senior software engineers through design discussions, code reviews, troubleshooting, and development guidance.

Skills

Java

Kubernetes

SQL

Cloud-native

Distributed systems

CI/CD

Observability

Code reviews

Education

BS in Engineering or Computer Science

Tools

GitHub Actions

Job description

LexisNexis Risk Solutions in Dayton, OH is seeking an experienced Software Engineer to design and develop software within the Data Vault platform, delivering scalable backend services for data ingestion, orchestration, and downstream delivery.

You will mentor engineers, address production issues, and help set engineering practices across development, testing, deployment, and operations, collaborating with product stakeholders to translate complex requirements into reliable solutions.