Ship scalable and high-performance data storage with senior database engineers who optimize for speed and integrity.
From complex SQL schema design to high-performance NoSQL clusters, our database developers help you build robust data foundations, maintain high data availability, and keep data operations predictable and cost-effective.
Database delivery governance
Reduce data risk with explicit release controls, security standards, and health monitoring tailored to enterprise storage environments.
Controls teams ask for before database launch
Stability, security, and integrity discipline mapped to how modern database stacks actually ship.
Shortlist turnaround
3.8 days median across recent database roles
Kickoff speed
9 days median from selection to sprint start
Data integrity
99.9% median uptime across clients
Secure access policies, encrypted storage, and compliance with data security standards for all workloads.
Security-ready
Full ownership of database schemas, scripts, and data assets from day one.
Legal-ready
Real-time tracking of database health, query latency, and user-perceived performance in production.
Health-focused
Talent pool preview
Review a balanced shortlist with specialist, senior, and principal depth so you can hire for immediate delivery and long-term technical leadership.
Senior Database Developer
8 years
Role-matched
Led the database modernization for a high-traffic SaaS platform, implementing PostgreSQL and Redis that reduced query latency by 50% while improving scalability.
Database Developer
6 years
Role-matched
Built a secure and compliant database platform for a fintech firm, implementing robust access controls and maintaining high data integrity.
Principal Database Developer
12 years
Role-matched
Architected a large-scale database platform with multi-team delivery using MongoDB and AWS RDS, improving data accessibility and release frequency by 35%.
Need a wider shortlist?
We can share additional database developer profiles by seniority, timezone, and domain fit.
Database engagement options
Start with focused storage work or scale to a full data pod as your product complexity grows.
Model selection support
We map database role shape to roadmap pressure, technical complexity, and stakeholder expectations.
Best for iterative schema work, query optimization, and ongoing maintenance.
Starts from $2,000 / month
Best for: Steady storage improvements and maintenance
Large-scale data migrations and security audits are scoped separately.
Best for core storage feature delivery with daily ownership and production momentum.
Starts from $4,000 / month ($25/hour)
Best for: Active storage roadmap execution and product integration
Cloud database costs and third-party licensing are billed separately.
Best for new product launches, major data sets, and cross-functional execution.
Starts from $12,000 / month
Best for: High-stakes initiatives with significant coordination needs
Specialized security audits are scoped separately.
Database hiring process
The process is tuned for database delivery risk: architecture fit, schema depth, and release reliability.
Typical kickoff window
Most teams start database delivery with selected talent in 7-14 days.
Decision points are explicit: database implementation depth, integrity discipline, and communication quality are validated before kickoff.
We map your data objectives, technical requirements, and budget goals to define role scope and success metrics.
Review candidates with prior experience in similar data domains, storage patterns, or scale constraints.
Interviews test database implementation logic, schema depth, and storage-specific tradeoff handling.
Selected engineers join your workflows with clear ownership and immediate first-sprint goals.
Why product teams hire us for database
You get engineers who can build production-grade storage systems without the overhead of a traditional data team.
Built for high-stakes database delivery
Designed for teams shipping SaaS products, ecommerce tools, and performance-critical data experiences.
Typical start
9 days median to sprint kickoff
Latency impact
25% median reduction in query time
Integrity lift
99.9% median uptime across clients
Engineers integrate into your architecture, schema patterns, and release flow quickly.
Velocity
Engineers prioritize reliability and security to ensure a high-quality user experience.
Reliability
Delivery decisions account for scale, speed, and efficient resource utilization.
Performance
Service scope
Use this service scope to match your data roadmap to the right storage pattern, whether you need a new product launch, database modernization, or performance optimization.
Database Design and Development
Our database developers design robust, normalized SQL or flexible NoSQL schemas that support complex application requirements and ensure data integrity.
Hire database engineers to modernize your existing storage, migrating data between different database types or to cloud-native solutions with minimal downtime.
Develop efficient, secure server-side logic using stored procedures and triggers to automate data processing and enforce business rules at the database level.
Optimization and Performance
Hire database experts to identify and fix slow queries, optimizing indexes and execution plans to reduce latency and improve application responsiveness.
Design and implement scalable database clusters with replication, sharding, and failover strategies to ensure high availability and handle traffic spikes.
Implement efficient caching strategies using Redis or Memcached to reduce database load and improve data retrieval speeds for high-traffic applications.
Security and Management
Design secure database architectures with encryption, robust access controls, and compliance best practices to protect sensitive information.
Implement automated backup and recovery strategies to ensure data durability and maintain high integrity across all storage layers.
Implement comprehensive monitoring and alerting to keep database health visible, identifying issues before they affect application performance.
Engineering stack
Stack choices are optimized for fast iteration, high availability, and long-term maintainability across modern data products.
Hiring readiness
Use this decision hub to align database interview depth, set quality boundaries, and connect hiring to measurable outcomes.
Owns
Collaborates on
Structured by level for consistent and faster interviewer calibration.
junior
Fundamentals and execution reliability
mid
Delivery ownership and decision quality
senior
Architecture, risk control, and leadership
Faster data launches
Ship data-driven features without the overhead of local hiring or complex storage research.
Predictable storage spend
Scale your database engineering bandwidth based on active priorities at a predictable hourly rate.
High data integrity
Improve data quality and maintain high reliability with engineers who know storage tradeoffs.
Lower storage risk
Use database best practices and automated management to reduce security incidents and release delays.
Scalable database teams
Start with one database developer and expand to a full data pod as product complexity grows.
Client stories
Real feedback from partnerships where we embedded with product teams, accelerated delivery, and stayed accountable to outcomes.
“We needed to launch a new product line on a fixed deadline, and missing it would have impacted revenue. Codexty helped us reorganize delivery, close technical gaps, and execute with steady weekly progress updates. We shipped ahead of schedule and exceeded our initial activation targets in the first month.”
Lisa R.
Operations Director, Logistics Company
“We needed to scale delivery capacity quickly but were not ready for several full-time hires. Codexty gave us immediate access to vetted talent that integrated into our workflows with minimal ramp-up time. We expanded engineering output while keeping hiring risk and operational overhead under control.”
Chris B.
VP Engineering, Fintech
“Our biggest concern was scalability during a period of rapid growth, and their team handled it with confidence. They refactored key backend services, introduced safer deployment practices, and helped us scale traffic without downtime during peak usage windows. We saw immediate performance gains and far fewer late-night incidents.”
Sarah K.
Engineering Manager, Enterprise Platform
Answers to practical decision questions before you hire.
Most database projects begin onboarding within 7-14 days after role alignment and interview completion.
Yes. We specialize in modern database development using PostgreSQL, MySQL, MongoDB, Redis, and various cloud-native tools.
Yes. We support identifying and fixing data storage inefficiencies, using database best practices to keep your migration on track.
We use database-native encryption, access controls, and compliance best practices to ensure your storage environment is secure and compliant.
Our database engineering services start at $25/hour, providing high-quality storage delivery at a competitive rate.
Share your requirements, we shortlist matched profiles, and your selected engineer starts with a clear onboarding plan. Initial response in under 24 hours.
Explore adjacent hiring options based on your roadmap needs.
Hire data engineers experienced with ETL, Apache Spark, Snowflake, Airflow, and data warehousing for scalable data infrastructure delivery.
Hire PostgreSQL developers experienced with database architecture, performance tuning, indexing, and high-availability PostgreSQL clusters.
Hire backend developers experienced with Node.js, Python, REST APIs, PostgreSQL, and scalable data architecture for B2B SaaS, ecommerce, and fintech delivery.
Hire cloud architects experienced with AWS, Azure, GCP, microservices, and high-availability system design for scalable enterprise cloud delivery.
