Job Description
Company: Veritas Partners
Location: Greater Philadelphia
Workplace Type: On-site
Employment Type: Full-time
About the Role
Seeking a skilled engineer with a strong foundation in database technologies and systems engineering; someone who understands how databases fit into broader system architecture and can collaborate across disciplines to drive performance, reliability, and scalability.
What You’ll Do / Key Responsibilities
- Design, deploy, and maintain relational and non-relational database systems at scale (hundreds of millions to billions of records, TB-scale datasets), including MariaDB, MongoDB, InfluxDB, and ClickHouse.
- Optimize query performance through advanced indexing strategies, execution plan analysis, and schema design.
- Develop Python tooling and automation to support database operations, maintenance workflows, and system health.
- Ensure high availability and reliability through replication, failover design, and disaster recovery planning.
- Operate confidently in production environments — diagnosing and resolving time-sensitive issues with composure and precision.
- Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments.
Requirements & Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 2-5 years of experience in database engineering, systems engineering, or a related discipline.
- Strong proficiency in SQL and deep working knowledge of relational databases — complex query manipulation, indexing, partitioning, replication, and high availability.
- Solid Python development skills — able to write production-quality scripts and tooling.
- Strong Linux knowledge — shell scripting, process management, system monitoring, and core command-line fluency.
Preferred / Bonus Qualifications (if applicable)
- Oracle database experience.
- Preferred Graph database experience (e.g., Neo4j or similar).
- ProxySQL configuration/routing experience.
- Infrastructure-as-code experience with Terraform.
- Working knowledge of AI tools and best practices for engineering workflows.
Benefits & Perks (if applicable)
- US citizen preferred, but they are open to sponsorship.
[No EEO/closing notes provided in the source data.]