Rishabh is a middle-to-senior data engineer with solid production experience in PySpark, Airflow, Big Data, AWS/GCP, SQL, and Python, building and maintaining large-scale pipelines in product environments like Meta/Wayfair.He has a good grasp of modern data engineering practices, though part of his background is based on internal Meta tooling, so he may need a short ramp-up on more standard, off-the-shelf solutions and frameworks your team uses. On the soft side, he comes across as friendly, collaborative, and calm under light pressure. He is motivated by startup environments, open to owning specific domains, and comfortable with EU time zone overlap.
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Keep business-critical data accessible as your product scales. Expert database developers design and tune it—hire now and onboard within a week.
Jakub is a senior Data Engineer and Data Analyst with strong expertise in SQL, AWS, and Python, confirmed through technical screenings and client feedback. He has led complex data pipeline and dashboard projects across fintech, marketing, and analytics domains, demonstrating solid architectural and project management skills. Clients highlight his problem-solving ability, responsiveness, and effective communication.
Senior Full-Stack Engineer with 8+ years of experience building scalable products across fintech, fitness, retail, travel, and healthcare. Strong in Python, AWS serverless, and modern React, delivering features end-to-end from design to production. Experienced in complex integrations, high-load architectures, and automation of payment and data-processing flows. Skilled in applying AI tools and approaches to enhance product functionality and engineering efficiency.
With 20 years of hands-on experience across startups and global giants like Microsoft and Kodak, Bryan brings a rare blend of deep technical expertise and practical leadership to the table. He’s led engineering teams for over five years and has cross-functional experience as a Project and Product Manager. Praised by the technical interviewer as adaptable and hands-on, Bryan thrives when thrown into complex challenges and consistently turns them into successes. He builds thoughtful, human-centered processes — especially around releases and shifting priorities — that empower teams and drive real results. Technically, Bryan is highly skilled in Python and TypeScript and is not just AI-savvy — he has direct experience integrating AI into products, from developing AI-driven video transcript features to optimizing prompts for better outcomes.
Maria is an Automation Quality Assurance engineer with experience in web and mobile applications testing. She worked in domains like eCommerce, Fintech, and Healthcare. She enjoys studying products from user and business perspectives to build a complete solution idea. Always happy to take on technical challenges and work closely with the engineering team to build an advanced quality assurance technology stack. She is a fast learner and an eager discoverer who always strives for more.
Viktor is a senior .NET developer with extensive experience in building projects from scratch, making architectural decisions, and designing AWS/Azure infrastructures. While his primary focus has been on back-end development, he also has strong front-end skills, including hands-on experience with Blazor and Radzen, as well as familiarity with Angular and React. A collaborative team player, Viktor enjoys contributing across different project areas and thrives in diverse team environments.
Strong full-stack engineer with deep Python/Django backend expertise and solid React/TypeScript experience, currently operating at a tech lead level in a large pharma environment. He has end-to-end ownership experience, including building and scaling a production web platform for biotech tracking, leading key architectural decisions (CI/CD, cloud infrastructure, data architecture), and acting as the go-to technical stakeholder across the company. Importantly, he has experience in highly regulated industries, making him a strong fit for compliance-heavy environments such as nuclear energy. He combines startup and enterprise experience, with a track record of solving real-world constraints through pragmatic, scalable solutions and strong product thinking. Comfortable working autonomously, he brings a builder mindset along with emerging leadership capabilities, making him effective in early-stage, ownership-driven environments.
Need a Python developer who can architect a payment system, wrangle AWS, and plug in AI models? Anton’s already done it—and shipped it to prod. From building FastAPI services and Terraform infrastructure to integrating ComfyUI and launching edtech platforms, Anton blends backend power with business logic. Anton's ability to collaborate seamlessly with cross-functional teams ensures that projects not only meet but exceed expectations through his technical excellence.
Python developer with 8 years of experience, specializing in backend development and complex automation projects. Their main focus lies in building scalable, secure, and data-driven platforms, using technologies like AWS, Prefect, and Django. A key advantage is proven ability to lead projects from end-to-end, integrating advanced tools like AI/ML and RPA to solve complex business problems in domains like healthcare, education, and finance.
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Developers who got their wings at
How it works
How to hire a developer through our platform
Place a free request
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Tell us about your needs
On a quick 30-min call, share your expectations and get a budget estimate
Interview the best
Get 2-3 expertly matched candidates within 24-48 hours and meet the worthiest
Onboard the chosen one
Your developer starts with a project—we deal with a contract, monthly payouts, and what not
Testimonials
Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.
We had an excellent experience. Process is fast from the initial intake through setting up payment.
The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.
What we do for you
Vet every developer
All our developers are fully vetted and tested for both soft and hard skills. No surprises!
Learn your needs
On a quick 30-min call, share your expectations and get a budget estimate
Shortlist the best matches
Get 2-3 expertly matched candidates within 24-48 hours and meet the worthiest
Handle the paperwork
Your developer starts with a project—we deal with a contract, monthly payouts, and what not
The lemon tea
Hire a database developer with Lemon.io to restore trust in your data
According to the Modern Data Report 2026, 71% of businesses struggle to answer three basic questions: Where is the data? What does it mean? And who owns the decision? Meanwhile, 57% of business leaders say their revenue growth directly depends on data accessibility and quality.
Your database developer should know how to prevent unexpected data loss, eliminate data silos, and make critical information available where it's needed. Whether you need help with database administration, normalization, or unified ELT/ETL processes, Lemon.io will find a senior specialist with relevant hands-on experience.

Devs with system-level thinking
Database engineers in our network address data issues as part of the large data engineering system and, before fixing the consequences, look for root causes. Our devs show the enthusiasm and proactivity necessary for establishing stable data practices.

Business-first data experience
A database serving 500 users and one handling 5 million transactions need different engineering approaches. We match you with developers experienced in your industry, business stage, and data volume, whether you're a startup, scale-up, SMB, or enterprise.

Expertise beyond surface-level AI
AI-powered data engineering goes beyond generating SQL queries. We look for practical experience applying AI to data preparation, metadata management, data lineage, and governance, with an understanding of where automation delivers value and where human oversight remains essential.
Why hire Database
Project types for database developers
Slow database queries can delay customer transactions, poorly planned migrations can disrupt service, and unreliable data can lead to costly business decisions. Hire a database programmer to address these risks at the infrastructure level, helping your product handle more users, process data faster, and grow without constant database-related fixes.
Database architecture and development
Build scalable database architectures that accommodate growing user traffic, transaction volume, and new product features.
Performance and query optimization
Optimize SQL queries, indexing, and database performance to speed up customer-facing operations and reduce infrastructure costs.
Database migration and modernization
Migrate legacy databases to modern or cloud-based platforms to reduce maintenance costs and enable new product capabilities.
Database security and availability
Implement access controls, backups, replication, and recovery mechanisms to protect sensitive data and minimize service interruptions.
Case studies
The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.
We needed extra developers to clean off all these bugs so the company could skyrocket.
We needed extra AI engineers to keep our ambitious project running.
Frequently asked questions
How many database developers are in your network?
Our developer community numbers more than 1,500 senior developers, including dozens of database engineers. For many of our experts, database development services are only a part of their expertise, since most of them are cross-functional web, front-end, back-end, or full-stack developers.
How much does it cost to hire a database developer?
According to Indeed, the common salary is $109,501 yearly. Typical salaries range from $39,000 to $213,000 yearly. Our rate calculator shows that mid-level and senior database developers and data engineers have hourly rates within a similar range: $35/hr–$77/hr. The final project price depends on the developer’s experience, location, and project complexity. For instance, a freelance database developer might cost much less than a senior specialist who designs and optimizes a complex database architecture handling millions of transactions.
What should I consider when hiring a database developer for my startup?
For startups, we recommend considering the database challenges your product might face in the next 6–12 months. Experience with PostgreSQL or MongoDB alone tells little about a developer’s ability to scale a SaaS database, optimize infrastructure costs, or migrate production data without downtime.
At Lemon.io, we look beyond technical skills to assess how candidates approach real business problems, communicate trade-offs, and work within startup budgets and dynamic environments. We then match you with senior developers who have handled similar challenges, so you don’t have to assess their expertise from scratch.
What are database development tools?
The right tools depend on the database architecture, hosting environment, expected workload, and existing development processes. Database development tools help engineers create, manage, query, test, and optimize databases. Common examples include:
- Database management systems (DBMS): PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, and NoSQL databases like MongoDB.
- Development and administration tools: DBeaver, pgAdmin, SQL Server Management Studio (SSMS), and DataGrip.
- Schema migration tools: Flyway and Liquibase for tracking and deploying database design changes.
- Query and performance tools: EXPLAIN/EXPLAIN ANALYZE commands to monitor SQL queries’ performance, database profilers, and monitoring dashboards.
- Cloud database services: (AWS) Amazon RDS, Azure SQL Database, and Google Cloud SQL.
What’s the difference between a database developer and data engineer?
A database developer focuses on how applications store, retrieve, and update data. They:
- build database schema design
- write and optimize queries (e.g., by implementing stored procedures to reuse code and data logic and decrease maintenance overhead)
- implement database logic
- ensure data integrity
- enable applications to access data reliably.
A data engineer builds systems that move, transform, and prepare data for analytics, reporting, and machine learning. Their work typically involves ELT /ETL pipelines, data warehouses, orchestration, and integration between different data sources.
However, the lines between these roles are increasingly blurred. 31% of database developer job postings included data engineering in their requirements.
Modern database developers often work with data pipelines and cloud data platforms, while data engineers need strong relational database programming, data modeling, and database optimization skills. In smaller teams, one experienced engineer may cover both roles, so it’s better to hire based on your project’s requirements rather than the job title alone.
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