Top Remote Database Engineer Jobs

Design, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.

Develops and maintains PostgreSQL databases in AWS, including schema design, performance tuning, backups, access controls, and disaster recovery. Supports Oracle-to-PostgreSQL migrations using AWS DMS, validates data and database objects, and creates SQL and Bash automation scripts. Integrates Liquibase schema changes into CI/CD pipelines and collaborates with Java microservice, cloud engineering, DevOps, and database teams to align schemas with application models and API contracts.

Design, scale, monitor, and optimize production PostgreSQL databases supporting Huntress’s security platform. Responsibilities include configuration tuning, capacity planning, observability, indexing, partitioning, replication, failover, backup and recovery, Azure optimization, and advising application teams on database design. The role requires deep expertise managing large, high-transaction PostgreSQL clusters in 24/7 environments, with bonus experience in NoSQL systems and infrastructure as code.

Provides database engineering and administration support across the full lifecycle of collection and antenna systems. Responsibilities include database analysis, design, development, integration, testing, deployment, security, training, sustainment, requirements development, and administration. The role requires experience with relational and non-relational databases, SQL, database tools, and long- and short-term database administration and design requirements. An active TS/SCI with polygraph clearance is required.

Designs, develops, implements, and maintains relational and non-relational database systems. Responsibilities include database architecture, modeling, storage optimization, data mapping, queries, scripts, requirements development, system analysis, testing, and lifecycle support. The role requires SQL and database platform familiarity, supports cloud-based data storage and retrieval, and contributes to cybersecurity-focused mission systems.

Designs, develops, and optimizes high-availability relational databases supporting high-volume logistics services. Responsibilities include schema and database object architecture, SQL and T-SQL development, stored procedure implementation, performance tuning, scalability improvements, code reviews, prototyping, and end-to-end feature delivery. The role collaborates with engineering and infrastructure teams and may support database administration, cloud migrations, and modern data platforms.

Supports data modernization by assessing legacy structures, designing modern data architectures, developing ETL/ELT pipelines, integrating APIs and cloud services, and ensuring data quality, security, governance, and lineage. Analyzes data for migration and reconciliation, creates dashboards and reports, and collaborates with technical and business teams. Applies AI tools to improve software development, DevSecOps, testing, security, deployment, and automation processes.

Develop and execute database migration and integration solutions across relational and legacy systems. Analyze schemas, map source data to target databases, build SQL and Python ETL transformations, validate data quality, reconcile migrations, troubleshoot failures, and optimize large-scale processes. Use AI-assisted development tools responsibly to accelerate coding and documentation. Collaborate with implementation and engineering teams while maintaining reusable scripts, documentation, and reliable migration workflows.

Implement and operate multi-region AWS database infrastructure for a Tier-1 payments platform. Responsibilities include DynamoDB Global Tables replication, failover and failback automation, Terraform or CDK infrastructure, observability, disaster recovery testing, KMS and IAM configuration, CDC pipelines, data migration cutovers, and application resilience patterns. The role also requires runbook and design documentation, collaboration with data, SRE, and application teams, and support for regulated financial-services workloads.

Design and improve search engine layers including storage, indexing, and querying. Perform intensive performance optimization using profiling, SIMD, data-structure tuning, and I/O optimization. Evolve full-text, vector, and reranking APIs; collaborate with customers; document technical concepts; and contribute expertise in search, storage engines, or distributed systems.

Own the reliability, scalability, and evolution of Zapier’s database and caching infrastructure. Responsibilities include operating MySQL, PostgreSQL, Redis, and ElastiCache; managing infrastructure with Terraform; building observability, automation, SLOs, and golden paths; participating in on-call; supporting product teams; improving performance and resilience; leading design reviews; documenting practices; and mentoring engineers.

Designs, maintains, and optimizes SQL Server databases, ETL/ELT workflows, and enterprise data pipelines supporting a federal multi-cloud analytics platform. Integrates structured and unstructured data using Azure, Databricks, Starburst, and data lakes; troubleshoots failures, tunes performance, applies data-quality and governance controls, and supports analytics, reporting, and machine-learning use cases. Translates business requirements into technical solutions and documents data products, pipelines, and operational procedures.

The Principal Database Engineer manages the Oracle Exadata platforms, oversees database architecture and engineering, optimizes costs, and supports AI and analytics initiatives. They lead performance engineering, licensing strategy, and cloud integration, ensuring operational excellence and mentorship for technical teams.

Administer, secure, optimize, and modernize enterprise Oracle and cloud database platforms in a federal hybrid-cloud environment. Responsibilities include production database maintenance, performance tuning, backup and recovery, high availability, incident response, automation, infrastructure-as-code, migrations, vulnerability remediation, documentation, and cross-functional troubleshooting. The role supports Oracle, Azure, Tessell, and additional database technologies while maintaining reliable 24x7 operations and contributing to DevSecOps and continuous improvement initiatives.

Develop and maintain complex database objects, optimize SQL queries and execution plans, manage data archiving and lifecycle processes, execute data corrections and migrations, and automate database deployments using Liquibase. Ensure database security, integrity, scalability, and performance while collaborating in an Agile DevOps environment supporting DHS ICE mission systems.

Designs, develops, administers, migrates, and optimizes Oracle, PostgreSQL, and AWS database solutions. Builds ETL workflows, data integrations, deployment automation, monitoring, backup and recovery capabilities, and migration pipelines. Performs performance tuning, troubleshooting, testing, security, and production support while collaborating with engineering, DevOps, data, product, and government stakeholders. Contributes to Agile, CI/CD, DevSecOps, data governance, compliance, and AI-assisted engineering initiatives.

Design, deploy, secure, automate, and operate enterprise MongoDB platforms across on-premises infrastructure and MongoDB Atlas. Responsibilities include replica sets, sharding, high availability, disaster recovery, backup and recovery, performance tuning, monitoring, security controls, migrations, incident response, and lifecycle management. The role partners with application, cloud, infrastructure, security, and SRE teams; develops operational standards and automation; supports mission-critical environments; and provides technical leadership and mentorship.

Build, administer, automate, and support enterprise Redis environments across on-premises and multi-cloud platforms. Responsibilities include configuration, upgrades, migrations, high availability, backup and recovery, performance tuning, monitoring, security, incident response, infrastructure as code, and operational documentation. The engineer collaborates across application, infrastructure, security, SRE, network, and cloud teams, participates in on-call rotations, and works overnight hours.

Designs, administers, and improves highly available PostgreSQL database platforms across AWS and GCP. Responsibilities include database architecture, performance tuning, replication, backups, disaster recovery, production incident response, Kubernetes operations, infrastructure as code with Terraform, and GitOps automation. The role also supports Kafka, ETL, CDC, monitoring, compliance audits, and resilient cloud-native database deployments.

Manage and improve cloud-based database infrastructure supporting a mission-critical SaaS platform. Responsibilities include database observability, performance tuning, troubleshooting, migrations, schema improvements, high availability, disaster recovery, incident response, and root-cause analysis across SQL Server and PostgreSQL. The role also automates operational processes, standardizes configurations and deployments, supports Engineering and SRE teams, and manages database tickets and maintenance activities.

Analyzes exposure risks across databases and data platforms, including permissions, access models, configurations, storage, encryption, and service-to-service access. Investigates attack paths, validates risks using queries and logs, prioritizes issues by exploitability and business impact, and partners with database, cloud, platform, engineering, and cybersecurity teams on remediation and preventative controls.

Serve as a senior SQL Server DBA and trusted client advisor, focusing on performance tuning, cloud database architecture, automation, high availability, disaster recovery, capacity planning, and proactive risk management. Lead root-cause analysis, database migrations, deployment scripting, monitoring, reporting integrations, and service lifecycle planning across AWS and Azure. Build client relationships, guide technical strategy, and deliver reliable database services within defined service-level objectives.

Supports enterprise database and application availability, production operations, incident response, outage recovery, upgrades, certificates, APIs, middleware, backups, failover, and disaster recovery. Diagnoses cross-system dependencies using logs, metrics, and traces; coordinates with infrastructure and software teams; validates fixes and recoveries; performs root-cause analysis; and maintains operational documentation and remediation plans. The role requires an active Secret clearance and may involve after-hours work during outages and maintenance windows.

Maintain and administer Microsoft SQL Server databases supporting healthcare research administration, compliance, reporting, and operations. Design schemas and tables; develop and optimize stored procedures, queries, scripts, utilities, and reports; manage scheduled jobs; monitor performance, security, backups, recovery, and data integrity; troubleshoot database and application issues; coordinate with web developers; document solutions; and provide technical recommendations to research leaders.

Manage and modernize MySQL database environments supporting large-scale, multi-tenant applications. Monitor database health, performance, capacity, and availability; optimize SQL and troubleshoot production incidents. Support MongoDB operations, database scalability, monitoring through Datadog and Grafana, root-cause analysis, secure database practices, and safe database changes. Collaborate with application, platform, and engineering teams while using Jira and GitHub throughout the delivery lifecycle.