Hire database developers expertly trained on AI and product thinking
Hire dedicated database developers from a staffing partner that has spent two decades shipping data layers that hold up in production. We have placed hundreds of senior PostgreSQL, MySQL, MongoDB, and SQL Server engineers in the Philippines for SaaS, fintech, and enterprise teams. Every engineer on the bench is pre-vetted, full-time, and ready to start in 7 days.
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LIMIT 50;Database teams trusted by enterprises, scale-ups, and Fortune 500s
Previously founded VinSolutions ($150M+ exit) and Stackify
At every company I started, I ended up being the default DBA
On every team I have ever been on, somebody had to be the default DBA, and that somebody was always me, going all the way back to my first job out of school. Nobody else wanted the work, so I picked it up, and being a database developer just became part of the job. I have spent more than two decades being an expert at SQL Server, and along the way I have shipped a lot of real production work on MySQL and Postgres too.
My first company, VinSolutions, scaled so fast that we had nightmare problems keeping the database alive. We set up reporting services on read-only replicas, and we bought the biggest Dell server you could buy with the most RAM you could put in it, just to stay in front of the load. Later at Stackify, we learned we needed to shard the database from day one, which ended up giving us two thousand little databases and their own bag of headaches. Would I call myself a database developer? Yes, and I have the scars to prove it.
I have seen pretty much every failure mode a database can have. We once had an integer field we thought we would never overflow, until the day we did and the whole system went down while we scrambled to fix it. I have built indexes so large that creating or dropping them in production was nearly impossible, and I have walked through deadlocks of every flavor the engine can throw at you. I have also seen databases pressed into doing things they were never meant to do, like running custom algorithms to compute percentages or getting hammered as a message queue. Database development never runs out of scenarios, and you only learn to handle them by working somewhere that puts you in front of them. I have been lucky to spend my career on the kind of database problems that actually teach you something. The longer version of how that path eventually led to Full Scale is in my post on how I avoided offshore development for years before accidentally falling into it.
Today Full Scale is a database development company built around senior Filipino engineers and the Product Driven framework. We have hired hundreds of database developers in the Philippines, we test them on real performance and modeling problems rather than syntax quizzes, and we have staffed dedicated database teams for fast growing SaaS companies, lenders, and enterprise platforms. If you are serious about hiring offshore database developers who can actually keep your data layer alive, you are in the right place.
AI-powered database engineers, trained on Product Driven principles
Most database teams adopting AI are shipping more migrations without shipping better schemas. The slop volume climbs, the query plans get weirder, and engineers whose only skill is typing faster end up costing more in cleanup than they save in keystrokes.
Full Scale database developers are trained on something different: the Product Driven approach from Matt's book, combined with the full modern AI toolkit (GitHub Copilot, Claude, Cursor). They think first, type second, and use AI for the parts where judgment doesn't add value. That combination is rare, and it is what database teams should actually be hiring for in 2026.
Product Driven engineering
Our engineers are trained on the five pillars from Matt's book: Vision, Focus, Clarity, Ownership, and Courage. The result is database developers who push back when a feature shouldn't ship behind that schema, ask whether a query needs to exist before writing it, and own the performance of what runs in production. They are not ticket takers.
Read Product Driven, the bookAI as a thinking partner
Every database engineer on our bench works with GitHub Copilot, Claude, and Cursor every day. They use AI to draft migration scripts, explore index strategies, generate test data, and review their own query plans before a human ever sees them. Judgment stays with the engineer, the grunt work moves to the machine.
AI without product thinking is just a slop machine, and the database engineers I want on my team don't get caught by that. They reason about the schema and the access pattern before they reach for Copilot, and they use AI for the parts where judgment doesn't matter. That's who we hire and train at Full Scale.
How Full Scale runs dedicated teams for AMC Theatres
Full Scale built and ran a dedicated engineering team that operates as a real extension of AMC's product organization. The same model we run for database clients.
Dedicated database developers, starting at $35 an hour
That rate covers a senior database engineer in the Philippines working full-time on your project, with payroll, benefits, HR, and equipment all handled by Full Scale. The same role hired locally in the US runs $160K to $220K a year for a senior database engineer or DBA, and that math is what drives most of our clients to call.
- Full-time, dedicated database engineer
- Pre-vetted by senior database reviewers
- Works your hours, your tools, your codebase
- Payroll, HR, equipment, benefits handled by us
- US-based account manager you can escalate to
- 30-day replacement guarantee if it isn't a fit
Full Scale has made the Inc. 5000 four years in a row and is Great Place to Work certified. We have been doing this since 2018, and pricing isn't the only reason clients stay with our database development company, it's the easiest reason to call.
The reason offshore database work works here
You can also hire dedicated developers in the Philippines across every other stack we staff, with the same vetting bar, retention numbers, and engagement model that database clients get.
English-fluent by default
The Philippines is the third-largest English-speaking country in the world. Standups, schema reviews, and incident calls work the way they do with any US team member.
Real time-zone overlap
Most of our database engineers work US business hours with 4-8 hours of real-time overlap with East and West Coast teams, so production incidents get a live human on the call rather than crawling through 24-hour async handoffs.
Deep engineering talent pool
Cebu and Manila produce tens of thousands of CS and IT graduates a year. SQL, MySQL, and PostgreSQL have been staples of Philippines computer science programs for two decades, which means deep, ready talent across the relational and NoSQL stack.
Cultural alignment with US teams
Filipino engineers grow up on US business norms, US TV, and US tech culture, so agile rituals, direct feedback, and collaborative workflows feel familiar from day one. These teams integrate fast rather than needing constant management.
Writing SQL is not the same as running a database
Anyone who finished a SQL bootcamp can write a query. Building a data layer that still holds up two years from now, on real production traffic, requires a different bench entirely. When you outsource database development or hire offshore database developers, this is the gap that decides whether the project ships. Here is what we test for, and what most offshore staffing companies skip. The full picture of why offshore engagements fail more often than they succeed is something I have written about at length.
Reading query plans, not just writing queries
Junior developers write SELECT statements. Senior database engineers read EXPLAIN ANALYZE output, recognize a sequential scan that should be an index scan, and know when a nested loop that runs fine in staging is going to fall over once the row count climbs. We hire for that judgment.
Indexing that pays for itself on writes
Adding an index is free if you only read. We test for engineers who understand the write cost of every index they create, who reach for partial and covering indexes when it matters, and who know how to drop indexes that are not pulling their weight.
Cloud databases beyond the marketing page
Real cloud database work covers RDS, Aurora, Cloud SQL, Atlas, DynamoDB, and the actual operational characteristics of each. The bench includes engineers who can read replica lag in CloudWatch, tune Aurora autoscaling, and know when DynamoDB on-demand stops making sense.
Migrations that don't lock the table for hours
Renaming a column on a 200M row Postgres table in production is not a textbook exercise. We have done zero-downtime migrations using shadow tables, pg_repack, online schema changes, and triggered backfills. We know where the landmines are because we have stepped on them.
Locking, isolation, and concurrency
Real database work means understanding when SERIALIZABLE matters, when REPEATABLE READ is enough, what SELECT FOR UPDATE actually locks, and why your dead-lock storm only happens on Friday afternoons. Most offshore developers cannot have this conversation.
Production debugging skills
A senior database engineer should be able to walk a slow query log, read a pg_stat_activity snapshot during an incident, profile MySQL with performance_schema, and know what auto_vacuum is doing when bloat is killing performance. Most offshore developers have never touched these tools.
Hire dedicated database developers for the work that actually matters
Most database hiring conversations skip past the actual project. What kind of database work do you need done? Greenfield schema design, a Postgres upgrade, a Mongo to Postgres migration, a query that has been timing out in production for six months? As a database development company that bills for engineering hours rather than fixed-bid projects, our developers ship across all of it. Here are the database development services we get hired for most often.
Data modeling and schema design
Database development services start with the model. Our engineers design relational schemas for PostgreSQL and MySQL, document collections for MongoDB, and key designs for DynamoDB. The schema survives the first 18 months without a painful rewrite, and your team can still reason about it on month 19.
Read SQL vs NoSQL: when to pick whichQuery tuning and indexing
Most application performance problems are query problems. Our engineers read EXPLAIN ANALYZE on Postgres, slow query logs on MySQL, and query insights on MongoDB. They write the indexes that actually pay for themselves and remove the ones that don't, including partial and covering indexes when the access pattern earns it.
Database migrations and modernization
Zero-downtime migrations on production tables with hundreds of millions of rows. We use shadow tables, dual writes, online schema changes, pg_repack, and triggered backfills. We have moved teams off SQL Server onto Postgres, off Mongo onto Postgres, and onto Aurora and Cloud SQL without breaking the application.
Cloud database engineering
We staff for RDS, Aurora, Cloud SQL, AlloyDB, MongoDB Atlas, DynamoDB, Cosmos DB, and the operational layer underneath each. Infrastructure is Terraform, observability is CloudWatch and Datadog, and security flows through IAM and Secrets Manager. That's the full cloud database stack, with no "we put the database on EC2" shortcuts.
Replication, sharding, and HA
Read replicas, logical replication, failover, multi-AZ, and sharding strategies that don't paint you into a corner. Our engineers have run production cutovers between Postgres versions, set up MongoDB replica sets and sharded clusters, and built HA topologies for fintech and SaaS workloads that legally cannot go offline.
Read our data lifecycle management guidePerformance engineering and DBA work
When the database is on fire, these are the engineers you call. They profile with pg_stat_statements, performance_schema, and slow query logs, they read vacuum behavior under load, and they fix the lock contention you didn't know was costing you. Most offshore database shops have never developed these skills.
Eight database specializations, one staffing partner
Most data layers need more than one role. Hire dedicated PostgreSQL developers, senior MongoDB engineers, cloud DBAs, and data engineers from a single vetted bench. Mix and match seniorities as the project requires.
PostgreSQL Engineers
Postgres specialists handle modeling, indexing, partitioning, logical replication, and the operational side of Postgres on RDS, Aurora, Cloud SQL, and self-managed clusters. Strong in pg_stat_statements, EXPLAIN ANALYZE, and zero-downtime migrations.
MySQL / MariaDB Engineers
MySQL engineers know InnoDB internals, when to drop into raw SQL, how to read the slow query log, and how to plan an upgrade between major versions without breaking the application. Fluent on Aurora MySQL and Cloud SQL too.
MongoDB & NoSQL Engineers
MongoDB specialists design document schemas, run replica sets and sharded clusters, and tune Atlas for real workloads. They know when document modeling is the right answer and when it absolutely is not.
Cloud DBAs & Database Reliability
Cloud database engineers own RDS, Aurora, Cloud SQL, Atlas, and DynamoDB end-to-end. They write the Terraform, set up the alerting in CloudWatch and Datadog, and run failover drills before production needs them.
Backend Engineers with Deep DB Skills
Application engineers who can also reason about the database. They write ORM code that doesn't melt the query plan, recognize an N+1 in code review, and reach for raw SQL when latency matters.
Data Engineers & ETL
Data engineers ship pipelines on Airflow, dbt, and Fivetran-style ELT into Snowflake, BigQuery, and Redshift. They model warehouse schemas, build incremental loads, and own the data quality layer.
Database Performance & Security
When the database is the bottleneck, these are the engineers you call. They run pg_stat_statements, performance_schema, and slow log audits alongside lock-contention investigations, encryption-at-rest reviews, and access control hardening.
Database QA & Migration Validation
Automation engineers build the test data, write the migration validation suites, and own the dual-write reconciliation logic on production cutovers. They build the safety net you wish you had before the migration starts.
Database expertise tuned to your industry
As a database development company that has been around for over a decade, we have placed dedicated database developers into nearly every industry that runs on a real data layer. Domain knowledge cuts onboarding time in half, so we match developers to projects where they have already shipped real schemas. When the data layer sits underneath a subscription product, our multi-tenant SaaS development services staff the application alongside the database work.
Finance & FinTech
Production databases in finance mean strict audit trails, double-entry ledgers, exact-decimal arithmetic, and zero tolerance for data anomalies. We have built and scaled Postgres ledgers, mortgage data layers, and payment systems for regulated US companies. Our bench knows what SERIALIZABLE actually costs and when it earns its keep.
From PostgreSQL and MongoDB to Snowflake and ClickHouse
Whether you want to hire PostgreSQL developers for a greenfield schema, hire MongoDB developers for an Atlas migration, or outsource database development on a legacy SQL Server system, the bench covers every layer of the data stack. Pick what you need. We will match a database developer fluent in it.
Hire dedicated database developers, two ways
Most clients start with a single dedicated database developer and grow into a full team. Either way, you get full-time engineers who sit on your standups, work your hours, and ship code against your roadmap. Both options are staff augmentation at the core: dedicated, long-term engineers embedded in your team rather than freelancers, shared resources, or a project shop on the side. Database engineers pair naturally with backend services, so teams running Postgres or DynamoDB behind a high-throughput service often hire dedicated Go developers from the same bench at the same time.
Dedicated developer
Full-time, exclusive, sits on your standups.
- Full-time database engineer assigned only to your project
- Works your hours, your tools, your codebase
- Joins your standups, reports to your tech lead
- We handle payroll, HR, equipment, retention
- Replace within 30 days if it isn't a fit
How to hire a dedicated database developer from Full Scale
We skip the 3-6 week recruitment cycle and the cold sourcing entirely. Our bench of database development talent in the Philippines is already built and vetted, and every step below has a named owner on our side.
Discovery call
30 minutes with our team. We learn your stack, your roadmap, the seniority level you need, and which database engines you are running. We don't pitch on the call, we walk through what you actually need from a hire.
Engineer match
We pull 1-3 pre-vetted database engineers from the bench whose skills, seniority, and prior project experience line up with what you described. You see their full profile and their actual project history.
Technical interview
You interview the candidates the way you would interview any senior hire: schema design questions, query plan reading, indexing trade-offs, migration scenarios. Pass anyone you don't believe in.
Contract & onboarding
Sign once. We handle every contract, payroll, equipment, and HR detail in the Philippines so you don't have an offshore entity to manage. You just get a developer.
First commit
Your developer joins your standups, gets repo and database access, and ships code in their first week. Our delivery managers stay involved to make sure ramp-up doesn't stall.
Full Scale vs the other ways to hire a database developer
Every hiring path has trade-offs. Here is how a dedicated database engineer from our database development company compares against the alternatives most teams consider first when they want to hire database developers.
| Feature | Full Scale | Freelancer / Upwork | Traditional offshore agency | US recruiter / FTE hire |
|---|---|---|---|---|
| Pre-vetted senior database bench | ||||
| Time to first hire | 7 days | 1-3 days | 3-6 weeks | 6-12 weeks |
| Dedicated full-time, not shared | ||||
| Founder-led engineering oversight | ||||
| Sits on your standups, your tools | ||||
| Long-term retention | 93%+ | low | varies | varies |
| Replace within 30 days if it's not a fit | ||||
| Handles payroll, HR, equipment | ||||
| US-based account management | n/a | |||
| Typical fully-loaded cost vs US | ~40-50% | varies | ~50-65% | 100% |
When offshore database work is the wrong call
Most pages like this would tell you offshore database work is always the right move. It is not. Below are the cases where we have either passed on a project ourselves or told the client they should not hire dedicated engineers from anyone, us included. If any of these match what you are doing, we will say so on the discovery call rather than sign you up and hope it works out.
You don't have a real data layer yet
Very early stage exploration where the schema changes weekly is the wrong fit for a dedicated database engineer. What you need is a founding engineer or a freelancer who can absorb the thrash. A long-term hire needs accumulated context to be productive, and that context is exactly what you do not have yet.
Your work is genuinely on-soil regulated
Certain DoD contracts, ITAR-covered systems, and a narrow slice of regulated workloads require US persons on US soil even for the database layer. If that is you, we will tell you on the call, not after the contract.
The scope is fixed and short
Think a one-time index review, a four-week query tuning sprint, or a single migration that ends on a known date. Hire a freelancer or a specialist consultancy for those. Dedicated developers earn their value over months and years, and a short fixed-scope job rarely runs long enough to pay back the ramp-up.
You can't actually fill a developer's time
If you only have 10 hours of well-defined database work a week, a dedicated full-time engineer will end up idle or pulled into work you didn't budget for. That ends badly for both sides. Part-time engagements and fractional DBA hires exist for this reason, and we are not them.
Real database engineers, named and vetted
A sample of the engineers we are currently staffing. You'll see real names and real backgrounds during your interview round.
Built and scaled Postgres-backed multi-tenant SaaS for fintech and SaaS clients. Strong in indexing strategy, partitioning, and zero-downtime migrations on tables north of 200M rows.
Backend-to-frontend feature delivery with deep ORM and query-plan instincts. Has shipped end-to-end on three production B2B platforms and refactored two of them off broken Hibernate patterns.
Distributed data specialist who has led production migrations from MongoDB to Postgres and back, including a Fortune 500 platform handling 50K writes per second.
Owns database reliability for SaaS teams. Failover drills, replica lag monitoring, IaC for RDS and Aurora, plus observability with Datadog and CloudWatch.
InnoDB internals, slow query log audits, online schema changes with Percona, and a long history of keeping high-throughput MySQL workloads alive in retail and travel.
Builds warehouse layers and dbt projects for analytics-heavy SaaS. Strong on incremental models, source-truth reconciliation, and the data-quality layer most teams skip.
Engineer names are anonymized on this page. You'll see real candidates during your interview round.
The numbers behind a database staffing partner that actually works
From the people we actually staff teams for
Full Scale's development team was pivotal in elevating our facility management software. Their expertise turned complex challenges into seamless functionalities, enhancing user experience and operational efficiency.
With Full Scale's developers, we transformed the commercial real estate landscape. Their team's proficiency in agile development and proactive communication accelerated our product release.
The team at Full Scale brought our vision to life with their development skills. They helped us navigate technical requirements with ease, resulting in a robust platform our users trust.
Deeper guides to database hiring and development
SQL vs NoSQL databases
When relational fits, when document fits, and how to think about the tradeoff.
Software database testing tips
Practical guidance on testing the data layer, from schema validation to migration verification.
Data analysis in software development
Where data analysis sits in the software lifecycle and what engineering teams should own.
Effective data management
Patterns for keeping your data layer clean, accurate, and useful as the product scales.
Data lifecycle management
How to think about data from ingest to archive without painting yourself into a corner.
Software engineer salary in the Philippines
What dedicated developers actually cost when hired offshore, including senior database roles.
Everything you wanted to know about hiring database developers
Hire a dedicated database developer who has actually shipped data layers before
Book a 30-minute discovery call with the database development company that supplies dedicated developers and custom database development services from the Philippines. We'll learn what you're building, walk you through which dedicated database developers, PostgreSQL engineers, MongoDB specialists, or cloud DBAs are on the bench, and you'll meet candidates within a week. You won't get pressure or a sales pitch on the call.