Phoenix, AZ, United StatesPosted Oct 16, 2026OnsiteOpen
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About this opportunity
Duration: Long Term Overview We are seeking an experienced Data Engineer with (Azure Cosmos DB) with deep expertise in designing, implementing, and supporting large-scale, mission-critical applications running on Azure Cosmos D…
Job Title: Data Engineer with (Azure Cosmos DB)
Location: Phoenix, AZ // Irving, TX // Westerville, OH (Onsite)
Duration: Long Term
Overview
We are seeking an experienced Data Engineer with (Azure Cosmos DB) with deep expertise in designing, implementing, and supporting large-scale, mission-critical applications running on Azure Cosmos DB. The ideal candidate will have hands-on experience building highly available, high-throughput, always-on solutions and be comfortable balancing architecture responsibilities with day-to-day operational support and performance optimization.
Key Responsibilities
Design, implement, and optimize Azure Cosmos DB solutions for high-volume transactional workloads.
Define and implement data modeling strategies, partition key design, indexing policies, and data lifecycle management.
Architect highly available, resilient, and scalable solutions leveraging Cosmos DB best practices.
Monitor and optimize RU consumption, throughput, latency, and overall database performance.
Troubleshoot production issues, investigate performance bottlenecks, and implement corrective actions.
Support day-to-day operational activities including deployments, schema evolution, capacity planning, and incident resolution.
Partner with application, infrastructure, and architecture teams to ensure optimal integration with Azure services.
Establish disaster recovery, backup, and business continuity strategies.
Create operational runbooks, documentation, and engineering standards.
Provide recommendations on cost optimization, scalability, and long-term platform improvements.
Required Qualifications
7+ years of software engineering and database development experience.
3+ years of hands-on Azure Cosmos DB experience in production environments.
Strong experience with
Cosmos DB data modeling and partitioning strategies