Schemas that scale with products
Pragmatic modeling, indexing, and partitioning choices that survive version 3 and beyond.
Database specialists who design schemas, tune performance, and keep data trustworthy.
Deeptal PostgreSQL engineers handle modeling, indexing, replication, and observability so your applications stay fast and dependable.
Clients rate Deeptal data teams 4.9 / 5.0 on average.
Pulse surveys after onboarding and milestone readouts.Compensation snapshot
Bench-readyAnnual bands across key markets to plan budgets confidently.
US & Canada
$115k – $170k
Glassdoor Oct 2025, total comp
United Kingdom
£58k – £82k
Glassdoor Oct 2025, total comp
Germany
€60k – €85k
Glassdoor Oct 2025, total comp
The Balkans
€35k – €62k
Glassdoor Oct 2025, total comp
Avg. seniority
8.7 yrs
Launch readiness
10-14 days
From brief to onboarding
Data reliability
SLOs + runbooks
Instrumentation in sprint 1
Trusted by product and engineering teams





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Delivery highlights
Senior talent, clear rituals, and proactive communication from week one.
Pragmatic modeling, indexing, and partitioning choices that survive version 3 and beyond.
Query tuning, plan analysis, and monitoring so teams catch regressions early.
Backfill strategies, locking awareness, and rehearsed cutovers to keep uptime high.
Backups, disaster recovery, and access controls aligned with compliance and auditing needs.
Coverage map
Typical outcomes for product and data leaders.
Keeping databases observable and resilient.
Specialties
Modeling & performance
Reliability
Operations
Sample talent
Profiles curated for your stack, time zones, and delivery rituals.
Igor Z.
Senior PostgreSQL Engineer
Kraków | CET
PostgreSQL, PL/pgSQL, TimescaleDB, Terraform
Optimized a multi-tenant SaaS DB, added partitioning and connection pooling, and cut p95 query time by 30%.
Rachel M.
Database Reliability Engineer
Seattle | PST
PostgreSQL, Patroni, Prometheus, AWS
Implemented HA clusters with automated failover, backup/restore drills, and observability that halved incident time-to-detect.
Nikhil T.
Data Platform Engineer
Bangalore | IST
PostgreSQL, Debezium, Airflow, dbt
Built CDC pipelines, improved migration safety with feature flags, and partnered with analytics to maintain data contracts.
Hiring playbook
PostgreSQL engineers should pair data modeling with performance, reliability, and governance discipline.
Clarify workloads and goals
Probe modeling and performance habits
Validate reliability and recovery
Assess collaboration with product and analytics
How it works
Talk to a delivery lead
Align on workloads, growth expectations, and reliability targets to calibrate the slate.
Meet hand-selected talent
Review a shortlist of PostgreSQL specialists aligned to your domain, cloud, and time zones.
Most clients see candidates within 48 hours.
Start with a no-risk sprint
Kick off a scoped trial to validate collaboration, performance wins, and documentation.
Pay only if satisfied after the initial milestone.
Exceptional talent
We vet database engineers for modeling judgment, performance tuning, and operational discipline.
Every candidate is screened for communication, documentation, and safety-first migration habits.
Thousands apply each month. Only top talent are accepted.
Step 1
Language & collaboration evaluation
Communication and partner-team alignment checks to ensure smooth collaboration.
Step 2
Database design + tuning review
Technical screening on modeling, indexing, query optimization, and migration strategies.
Step 3
Live problem solving
Optional: Your team can join
Hands-on scenarios for debugging, performance analysis, and safety planning.
Step 4
Test project
Optional: You can provide your own brief
A scoped engagement to validate delivery cadence, documentation, and handover quality.
Step 5
Continued excellence
Scorecards, engagement reviews, and playbook contributions to stay on the Deeptal bench.
Capabilities
Our PostgreSQL teams excel in schema design, tuning, replication, and observability for trustworthy data products.
Schema and query design
Modeling for growth, indexing strategies, and query reviews that keep latency predictable.
Performance tuning
Plan analysis, caching, connection management, and partitioning for heavy workloads.
Replication and high availability
Streaming replication, failover strategies, and read scaling with clear ownership.
Migrations and change management
Zero/low-downtime migration patterns, backfills, and rehearsed rollback plans.
Observability and SLOs
Monitoring, alerting, and SLOs for databases with actionable runbooks.
Security and governance
Role-based access, encryption, auditing, and compliance-minded data handling.
Trusted by product and platform leaders
From OLTP performance to analytics pipelines, Deeptal teams match your database needs and governance.
Database reliability engineers
Specialists in HA, backups, disaster recovery, and incident response.
Performance and tuning experts
Engineers focused on indexing, partitioning, and query optimization for demanding workloads.
Migration and modernization leads
ICs who plan upgrades, reduce downtime risk, and improve observability during change.
Data platform engineers
Developers who connect PostgreSQL to analytics/streaming stacks with clean contracts.
Glassdoor data from October 2025 shows median total compensation around $132,000 in the US, £78,000 in the UK, and €80,000 in Germany. Costs vary by seniority, region, and engagement model; we calibrate to your data needs before kickoff.
Most clients see calibrated shortlists within 48 hours and can start a trial within 10–14 days once the brief is clear.
Yes. We handle OLTP schema tuning, indexing, and replication, and also support analytics pipelines and warehouse integration when needed.
Yes. We plan migration steps, add backups and rollback plans, and run rehearsals to keep downtime minimal.
Yes. We match availability to your workload—hourly for spikes, part-time for ongoing tuning, or full-time for sustained delivery.
Explore services
Looking for end-to-end delivery? Browse Deeptal programs across technology, marketing, and consulting.
Hiring guide
PostgreSQL underpins both transactional products and analytics stacks.
Use this guide to find engineers who keep data trustworthy while enabling growth.
Are PostgreSQL developers in demand?
Yes. PostgreSQL is a default choice for many products, and experienced operators are scarce.
Teams need seniors who can tune performance, plan migrations, and protect data.
What distinguishes great PostgreSQL engineers?
They blend modeling skill with operational discipline and communicate constraints clearly.
They write runbooks, automate checks, and partner with product and data teams alike.
Core layers to cover
Modeling and performance: schemas, indexes, partitioning, and query tuning.
Reliability: backups, replication, disaster recovery, and observability.
Change management: migrations, backfills, and rollback strategies.
How to run the process
Share workload profiles, growth expectations, and compliance requirements upfront.
Review code/SQL samples, incident retros, and migration plans; run a scoped project to see collaboration.
Ensure candidates document decisions and handoffs so improvements persist.
When to bring in specialists
Choose specialists for heavy performance tuning, HA/DR planning, or high-risk migrations.
Choose generalists for ongoing product squads needing steady database support.
Median total compensation (Glassdoor, Oct 2025, USD equivalent)
USA
$132,000
Canada
$104,000
United Kingdom
$78,000
Germany
$80,000
Romania
$48,000
Ukraine
$50,000
India
$18,500
Australia
$110,000
Protect data quality and performance with seniors who plan migrations, observability, and recovery from day one.