55 Database Engineer jobs in United States available for remote work from home. Apply for positions such as Database Engineer, Database Engineer, Database Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Database Engineer is responsible for supporting the reliability, performance, scalability, and security of database platforms through lifecycle management and cloud-native operations. This role involves collaborating with cross-functional teams to implement automation, performance tuning, and disaster recovery strategies.
Maintain, optimize, and evolve database systems supporting a SaaS platform to ensure high uptime and reliability. This includes query tuning, managing production database systems, and designing scalable Azure-based data solutions.
The Database Engineer is responsible for designing, optimizing, and evolving large-scale MySQL database environments to ensure scalability and high performance. This includes managing schema deployments, maintaining disaster recovery processes, and collaborating with BI teams to align data structures with analytics needs.
The Database Engineer will provide senior-level technical expertise for the design, performance, security, and scalability of the GEOMAP data environment. They will collaborate with cross-functional teams to support database modernization, troubleshooting, and integration activities within cloud-hosted mission systems.
The SAP Database Engineer will design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. They will also serve as the primary expert for diagnosing and resolving performance issues across the SAP landscape.
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You will lead the design and buildout of data infrastructure, establishing architectural standards for production pipelines. Additionally, you will partner with business stakeholders to identify integration opportunities and mentor team members as the department scales.
The Principal Engineer will lead the transformation of database operations into a modern Platform Engineering and SRE model. This role focuses on driving automation, standardization, and reliability improvements across the enterprise database estate.
The Senior Database Engineer will architect, deploy, and optimize enterprise data infrastructure across multi-cloud and on-premises environments. Responsibilities include managing database performance, ensuring high availability, and implementing robust security and disaster recovery protocols.
The role involves supporting the maintenance of applications and infrastructure while ensuring quality and security standards are met. The engineer will analyze data, troubleshoot technical issues, and evaluate emerging technologies to improve operational performance.
You will design, improve, and manage the PostgreSQL database service while acting as the voice of the customer to drive feature enhancements. Additionally, you will resolve complex technical issues, implement automation, and contribute to the engineering process through code reviews and design discussions.
The Principal Systems Engineer will set the technical direction for GitHub's database platform and manage the reliability and scalability of the database fleet. Responsibilities include owning replication topology, failover automation, capacity planning, and partnering with cross-functional teams to align the database roadmap with product needs.
The Principal Production Engineer will lead design reviews and shape data modeling to ensure high performance and reliability across GitHub's database platforms. They will also develop SDKs, tooling, and disaster recovery plans while participating in on-call rotations to maintain system health.
Design and build core components of GitHub's database platform while ensuring the reliability and scalability of the database fleet. Operate and improve replication topology, failover automation, and manage infrastructure components to meet performance targets.
The Staff Production Engineer will partner with product teams to design and scale data platforms while maintaining high availability and performance. They will also build internal SDKs, define operational standards, and participate in on-call rotations to ensure system reliability.
Design, develop, and maintain scalable, secure relational database solutions while optimizing performance for cloud-native applications. Manage database migrations, automation, and operational workflows to ensure high availability and data integrity.
The Database Engineer III is responsible for designing, developing, and testing complex data products within a cloud environment. They will monitor system performance, resolve data issues, and collaborate with technical teams to ensure data architecture aligns with business requirements.
Implement and operate cross-region replication for a Tier-1 payments platform using AWS services like DynamoDB Global Tables. Develop observability layers, manage failover runbooks, and support data migration from monolithic systems to microservices.
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Lead and mentor a team of database administrators and platform engineers to manage on-premise and cloud database services. Drive technical roadmaps, operational excellence, and automation initiatives to ensure high availability and performance of data platforms.
The Database Engineer V designs, develops, and maintains data processing systems, data models, and database structures to support the CMS National Data Warehouse. They provide technical guidance, conduct gap analyses, and ensure the accuracy and scalability of data warehouse solutions throughout the software development lifecycle.
You will design, support, and optimize data systems for environmental research while managing PostgreSQL databases and Python-driven automation. The role involves collaborating with federal stakeholders to ensure data integrity, scalability, and operational reliability across cloud environments.
The Database Engineer II is responsible for the development, testing, and production deployment of database products within a cloud environment. They design data models, implement data products, and monitor system performance to ensure business needs are met.
The Senior Database Engineer will design, develop, and maintain database applications within the Cotiviti product suite while focusing on performance tuning for large-volume data sets. They will collaborate with global teams to drive application design and leverage AI-assisted tools to accelerate development and testing cycles.
The IT Security Engineer is responsible for designing and maintaining security controls for enterprise databases across on-premise and cloud environments. They will partner with cross-functional teams to monitor for threats, perform vulnerability assessments, and ensure compliance with regulatory frameworks.
The Senior Database Engineer is responsible for the design, administration, and optimization of enterprise SQL Server environments on AWS. This role focuses on automating operational tasks, improving system reliability, and integrating database management into CI/CD pipelines.
The Senior Database Engineer is responsible for designing, developing, and maintaining database applications and reusable software components within the Cotiviti product suite. They will collaborate with global teams to drive application design, resolve performance issues, and implement innovative solutions to business problems.
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Design, develop, and maintain enterprise-scale Python data pipelines and analytical solutions for renewable energy operations. The role involves building scalable ingestion pipelines and developing performance monitoring tools to analyze asset degradation and availability.
Design, administer, and optimize enterprise PostgreSQL and Microsoft SQL Server database solutions for mission-critical healthcare applications. Collaborate with cross-functional Agile teams to implement secure, scalable database environments and disaster recovery strategies.
The role focuses on optimizing performance, managing archival strategies, and reducing AWS costs for a large-scale SQL Server environment. The candidate will also lead the design of a reporting replica architecture and serve as the database SME for engineering schema reviews.
Lead the architecture and engineering of enterprise-scale GCP relational database platforms while integrating AI-driven capabilities for automation and optimization. Drive modernization initiatives, including database migrations and the implementation of infrastructure-as-code standards.
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