Ship reliable data logic and faster queries with senior SQL engineers who reduce latency and delivery risk.
From complex query optimization to ETL pipelines and stored procedures, our SQL developers help you improve data performance, maintain integrity, and keep reporting delivery predictable. AI-assisted delivery aligned to customer requirements for cost efficiency and faster turnaround.
SQL delivery governance
Reduce data risk with explicit quality controls, validation standards, and performance monitoring tailored to SQL workloads.
Controls teams ask for before SQL launch
Accuracy, performance, and release discipline mapped to how modern data stacks actually ship.
Shortlist turnaround
3.9 days median across recent SQL roles
Kickoff speed
9 days median from selection to sprint start
Data accuracy
99.9% median validation pass rate across clients
Secure stored procedures, least-privilege access, and compliance with data protection standards for all workloads.
Security-ready
Full ownership of SQL scripts, schemas, and data assets from day one.
Legal-ready
Real-time tracking of query latency, execution plans, and data freshness in production.
Performance-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 SQL Developer
8 years
Role-matched
Optimized reporting queries for a SaaS analytics platform, reducing dashboard load times from 12s to 2s and improving data freshness for 50+ reports.
SQL Developer
6 years
Role-matched
Built compliant transaction and reconciliation logic for a fintech firm, maintaining 99.99% data accuracy and reducing manual reconciliation effort by 60%.
Principal SQL Developer
11 years
Role-matched
Architected a Snowflake-based analytics layer for an ecommerce marketplace, enabling real-time inventory and sales reporting with 40% faster report generation.
Need a wider shortlist?
We can share additional sql developer profiles by seniority, timezone, and domain fit.
SQL engagement options
Start with focused query work or scale to a full data pod as your reporting and pipeline complexity grows.
Model selection support
We map SQL role shape to roadmap pressure, technical complexity, and stakeholder expectations.
Best for iterative query optimization, reporting logic, and ongoing maintenance.
Starts from $2,000 / month
Best for: Steady query and reporting improvements
Large-scale data migrations and warehouse builds are scoped separately.
Best for core data logic delivery with daily ownership and production momentum.
Starts from $4,000 / month ($25/hour)
Best for: Active reporting and pipeline roadmap execution
Cloud warehouse costs and third-party tool licensing are billed separately.
Best for new analytics launches, major migrations, and cross-functional data execution.
Starts from $12,000 / month
Best for: High-stakes initiatives with significant coordination needs
Specialized compliance audits are scoped separately.
SQL hiring process
The process is tuned for SQL delivery risk: query quality, schema depth, and release reliability.
Typical kickoff window
Most teams start SQL delivery with selected talent in 7-14 days.
Decision points are explicit: SQL implementation depth, performance discipline, and communication quality are validated before kickoff.
We map your query, reporting, and pipeline objectives to define role scope and success metrics.
Review candidates with prior experience in similar data domains, database engines, or scale constraints.
Interviews test query optimization logic, schema design depth, and SQL-specific tradeoff handling.
Selected engineers join your workflows with clear ownership and immediate first-sprint goals.
Why product teams hire us for SQL
You get engineers who can build production-grade data logic without the overhead of a traditional data team. AI-assisted delivery aligned to customer requirements for faster turnaround and lower cost.
Built for high-stakes data delivery
Designed for teams shipping SaaS analytics, ecommerce reporting, fintech reconciliation, and performance-critical data experiences.
Typical start
9 days median to sprint kickoff
Query impact
25-35% median latency reduction
Accuracy lift
99.9% validation pass rate across clients
Engineers integrate into your schema, query patterns, and release flow quickly.
Velocity
Engineers prioritize validation, indexing, and execution plan quality to ensure reliable reporting.
Reliability
Selective use of AI tools for SQL generation and test data creation to reduce delivery effort and cost.
Efficiency
Service scope
Use this service scope to match your data roadmap to the right implementation pattern, whether you need query optimization, reporting pipelines, or migration support.
Query and Data Logic
Our SQL developers write efficient, maintainable queries using CTEs, window functions, and proper indexing to reduce latency and improve application responsiveness.
Hire SQL engineers to implement server-side logic that enforces business rules, automates data processing, and centralizes reusable data access patterns.
Design normalized or denormalized schemas that balance query performance with data integrity for transactional and analytical workloads.
Analytics and Reporting
Build SQL foundations for BI tools and dashboards, delivering clean aggregations, time-series metrics, and drill-down-ready datasets for growth and finance teams.
Design star and snowflake schemas for BigQuery, Snowflake, or Redshift to support fast analytical queries and predictable report generation.
Implement data pipelines using SQL-first tools like dbt or native SQL to transform, validate, and load data from multiple sources into your warehouse.
Performance and Operations
Identify slow queries, analyze execution plans, and apply indexing and rewrite strategies to reduce latency by 20-40% in typical workloads.
Migrate legacy SQL logic between databases (e.g., Oracle to PostgreSQL, SQL Server to BigQuery) with minimal downtime and data validation.
Implement SQL-based data quality checks, constraint enforcement, and validation rules to ensure reporting accuracy and operational trust.
Engineering stack
Stack choices are optimized for query reliability, release safety, and long-term maintainability across transactional and analytical workloads.
Hiring readiness
Use this decision hub to align SQL 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 query delivery
Ship optimized SQL and reporting logic without the overhead of local hiring or lengthy research.
Predictable data engineering spend
Scale SQL development bandwidth based on active priorities at a competitive hourly rate.
Query performance gains
Improve application and report speed with engineers who know indexing and execution plan tradeoffs.
AI-accelerated SQL delivery
Cost efficiency through selective AI acceleration for routine SQL generation and test data creation.
Scalable data teams
Start with one SQL developer and expand to a full data pod as reporting and pipeline complexity grows.
Client feedback from delivery partnerships across product teams.
“The SQL developer integrated seamlessly and reduced our report generation time by 40% within the first two months.”
David M.
CTO, B2B SaaS company
“We achieved accurate reconciliation logic and significantly improved our query performance within three months of hiring through Codexty.”
Jennifer K.
Engineering Manager, Fintech platform
“Our analytics team finally has reliable, fast SQL foundations. The AI-accelerated delivery helped us stay on budget.”
Robert T.
VP Data, Ecommerce brand
Answers to practical decision questions before you hire.
Most SQL projects begin onboarding within 7-14 days after role alignment and interview completion.
Yes. We specialize in SQL development across PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Snowflake, and Redshift.
Yes. We identify slow queries, analyze execution plans, and apply indexing and rewrite strategies to reduce latency and improve application responsiveness.
Yes. We leverage AI-assisted tools for routine SQL generation and test data creation to accelerate delivery and reduce cost, with quality controls in place.
Our SQL development services start at $25/hour, providing high-quality data 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.
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Hire backend developers experienced with Node.js, Python, REST APIs, PostgreSQL, and scalable data architecture for B2B SaaS, ecommerce, and fintech delivery.
