Top Remote Database Engineer Jobs

Join CGS as a PostgreSQL Database Developer to support migration from Oracle to PostgreSQL and manage database environments for data analytics. Responsibilities include performance tuning, technical documentation, and ensuring database availability and performance.

The PostgreSQL Database Developer will migrate from Oracle to PostgreSQL, manage database systems, ensure performance, and document technical processes for data solutions.

The PostgreSQL Database Developer will migrate Oracle databases to Postgres, maintain database environments, ensure performance, and create technical documentation.

The PostgreSQL Database Developer will manage database environments, support migration from Oracle to PostgreSQL, and ensure database performance and security.

The PostgreSQL Database Developer will manage the migration from Oracle to PostgreSQL, ensure database performance, document processes, and support data solutions.

Provide senior-level database architecture and engineering for cloud-hosted geospatial systems. Design, optimize, secure, migrate, and sustain relational and non-relational databases. Troubleshoot performance and integrity issues, support DevSecOps/CI-CD integration, backup/recovery, schema updates, and compliance. Collaborate with cross-functional teams, produce documentation, and support deployments and surge investigations in a DoD mission environment.

Design, administer, and optimize PostgreSQL and Microsoft SQL Server databases for mission-critical VA healthcare applications. Support cloud (AWS/Azure) deployments, backup/recovery, replication, performance tuning, automation (IaC), CI/CD, and collaborate with cross-functional Agile teams to ensure secure, scalable database environments.

Design, develop, and administer databases and web applications for IVR and call center software. Build cloud-based integrations, write and maintain SQL, and participate in call center analytics system development and integration.

Design, develop, optimize, and support database solutions using T-SQL. Build and maintain stored procedures, views, functions, and conversion scripts. Support ERP conversions, troubleshoot performance and integration issues, enforce data management best practices, and collaborate with technical and business teams throughout development, deployment, and change management.

The Database Engineer designs, optimizes, and evolves MySQL databases in high-volume settings, ensuring performance and reliability while collaborating with engineering and analytics teams.

Designs and implements analytics and query capabilities in Elasticsearch, develops data-intensive features, resolves complex bugs, optimizes data structures and algorithms, and contributes modern Java code. Collaborates autonomously with globally distributed engineering, UI, solutions, and open-source communities. Provides technical expertise, guides projects from design through delivery, and uses AI to accelerate development, debugging, and code optimization.

Lead the technical vision, roadmap, and development of Elasticsearch’s ES|QL analytical engine and query capabilities. Design data-intensive systems, algorithms, APIs, and compute infrastructure; research search and analytics technologies; collaborate across product and engineering teams; mentor senior engineers; and contribute hands-on modern Java development. The role requires autonomous technical leadership, expertise in database internals and analytics systems, and the ability to guide complex projects from conception through delivery.

Redevelop and integrate multiple database systems to interface with the state ERP, cloud-hosted enterprise asset management, and internal applications. Develop queries, stored procedures, and functions; design reliable databases, create documentation and diagrams, ensure performance and agency requirements, and help establish a data warehouse foundation. Position is onsite.

Own and operate production database infrastructure at scale, ensuring monitoring, performance, reliability, backups, disaster recovery, and capacity planning. Optimize MySQL configurations, queries, schemas, indexes, and execution plans. Automate maintenance, execute upgrades and migrations, investigate incidents, improve documentation, and partner with software engineers on scalable database practices. The role also provides technical guidance to junior team members and supports cloud infrastructure using Terraform.

Own the reliability, performance, availability, scalability, and cost efficiency of production Aurora MySQL databases on AWS. Responsibilities include observability, alerting, query optimization, replication, backups, disaster recovery, schema migrations, reader topology, cost optimization, runbooks, incident response, and database performance reviews. The role partners with engineering teams, supports HIPAA-compliant handling of PHI, and establishes reliable database operating practices.

Designs, administers, and optimizes data systems supporting FSA IAM applications. Develops migration plans from legacy AIMS and PAS systems, creates data models, mappings, layouts, dictionaries, and integration processes, and supports analytics and fraud detection. Manages database configuration, performance tuning, monitoring, backups, capacity, secure data handling, encryption, network data flows, token management, and documentation while collaborating with development, security, and operations teams.

Manage, design, and optimize data activities for federal IAM systems. Develop data models, file layouts, source-to-target mappings, data dictionaries, integrations, ETL processes, and analytics support for identity analysis and fraud detection. Administer and tune databases, including configuration, backups, monitoring, capacity planning, and performance optimization. Support secure handling of identity and PII data, network-related data flows, documentation, token management processes, and collaboration across development, security, and operations teams.

Own reliability, performance, and scalability of Postgres and ClickHouse databases. Build scalable data pipelines, design analytical schemas and DBT models, migrate data to ClickHouse, implement data quality checks, eliminate duplicates, and manage database infrastructure via IaC.

Provide expert MongoDB technical support, troubleshoot complex deployments, administer Linux systems, advise on schema/design, performance tuning, backups, monitoring, and collaborate on support content and product strategy while occasionally traveling for team or customer meetings.

As a PostgreSQL Database Support Engineer, you'll assist DBA teams with troubleshooting, create knowledge base articles, and author community blogs while focusing on performance tuning and high availability solutions.

Leads strategy, architecture, deployment, operations, automation, observability, and reliability initiatives for globally distributed database systems. Partners across engineering and business teams to improve performance, scalability, security, continuity, and operational rigor. Oversees incident troubleshooting, root-cause analyses, release processes, database change management, technology evaluation, roadmap planning, and mentoring while operating databases across Kubernetes, cloud, and bare-metal environments.

Lead design, automation, and optimization of database infrastructure (PostgreSQL/Aurora). Build monitoring, tuning, and scaling strategies, create automation tooling, drive performance and reliability initiatives, and expand into broader SRE responsibilities to improve availability and system health for a growing SaaS platform.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Designs, provisions, operates, and optimizes secure, highly available relational and NoSQL database platforms. Responsibilities include schema and data modeling, query tuning, cloud database operations, infrastructure-as-code provisioning, automated schema management, policy enforcement, replication, failover, disaster recovery, observability, and technology evaluation. The role collaborates with agile teams to deliver scalable, resilient database solutions for high-volume business workloads.

Serve as the technical SME for Vector AI databases, supporting sales with architecture, demos, POCs, competitive analysis, and mentoring SEs. Map customer AI/ML needs to Actian solutions and collaborate with sales, product, engineering, and customer success to close enterprise deals.