Hire Databricks Developers to Architect Your Unified Lakehouse Platform
Hire Databricks developers to bring all your company's data into one place using Delta Lake. Work with experts to automate your data pipelines and build machine learning models right on the Lakehouse platform.
Why Industry Leaders Trust Entrans When They Need to Hire Expert Databricks Developers
Hire Databricks developers who match your big data setup with your AI and business goals. We connect you with a Databricks Solutions Architect or a Databricks Data Engineer who is used to working in large company settings that need strong security, fast computing, and smooth data flow.
1. Databricks Data Engineer for Scalable Pipelines
Automate and grow your data processes. When you hire Databricks developers, our engineers use Delta Live Tables to build data pipelines you can count on. We use PySpark and Apache Spark to handle huge amounts of data in real time, keeping your data accurate and reliable.
2. Databricks ML Engineer & Databricks AI Engineer
Put AI right where your data already lives. Hire a Databricks expert to build and launch machine learning models using the Databricks Runtime made for machine learning. Our experts handle the whole machine learning process using MLflow to track tests, package code, and roll out AI tools.
3. Databricks Analytics Engineer for High-Speed Querying
Give your analysts fast, clear answers. A Databricks Analytics Engineer will speed up your data warehouse using Databricks SQL, powered by the Photon Engine, so your searches run faster on your data lake.
4. Databricks Platform Engineer & Databricks Administrator
Keep your whole data system safe and organized. A Databricks Administrator sets up detailed, centralized controls over who can access files, tables, and machine learning models using Unity Catalog, so you stay compliant and can easily find your data.
5. Databricks Consultant for Enterprise Orchestration
Update your legacy data workflows. A Databricks Consultant will move your old scheduling tools over to Databricks Workflows and Databricks Jobs, giving you one managed system to run all your Spark, SQL, and machine learning tasks.
Hire Databricks Developers From Entrans That Are Vetted and Experienced
Hire Databricks developers with real, hands-on skills across the whole Data Intelligence Platform. Entrans gives you top professionals to build, set up, and grow your data and AI work.
Delta Lake and Data Architecture
Our team builds the base of your Lakehouse. Hire Databricks Data Architects who will design your Bronze-Silver-Gold layered structure using open-source Delta Lake, adding safe transactions, the ability to look back at older data, and easy handling of large amounts of data in your cloud storage.
Apache Spark and PySpark Development
Handle huge amounts of data with ease. Hire a Databricks Spark Developer to write fast, well-built scripts for spreading out data work using core Apache Spark, PySpark, and Spark SQL for jobs that run in batches or in real time.
CI/CD and Software Engineering Best Practices
We treat data like software. Our experts utilize Databricks Repos for Git integration and deploy code reliably across environments using Databricks Asset Bundles, ensuring robust CI/CD pipelines for your data engineering team.
Interactive Development with Databricks Notebooks
We help data engineers and data scientists work well together. Our teams use Databricks Notebooks to write code in Python, SQL, Scala, or R, seeing results and working together in real time.
Data Governance with Unity Catalog
Entrans' experts keep your data in line with the rules. We set up Unity Catalog to give you one clear system for managing permissions, tracking where data comes from, and reviewing activity across all your workspaces.
High-Performance SQL (Photon Engine)
We make the most of your computing power. Our engineers rework old, slow searches to run on the Photon Engine, cutting down run times and cloud costs for your biggest reporting needs.
Schedule Interviews With Databricks Developers and Onboard Them Within 48-72 Hours
Databricks Lakehouse Development Technology Expertise
Core Infrastructure
Data Engineering + Pipelines
AI, ML + MLOps
Orchestration + Tools
Our Customer Success Stories
Built 30+ Power BI Dashboards Using a Unified Enterprise Analytics Platform
Technical Stack: Power BI, Databricks, Azure, PySpark, SAP/Oracle Integration
A heavy equipment dealer's siloed systems demanded manual work and delayed executive reporting. We built a unified Power BI and Databricks architecture to automate enterprise-wide data insights.
The platform now runs 100% automated integration, powers 30+ live dashboards, and cuts manual processing sharply.
Automated Prior Auth: An AI-Driven Data Extraction Platform
Technical Stack: Python, Flutter, Angular, LangChain, FastAPI
Prior authorization delays stemmed from fragmented data and slow, manual document validation. We built an AI-driven system to extract, validate, and process authorization data automatically.
The system now processes approvals 3X faster, cuts manual errors 70%, and sustains 95%+ accuracy.
Designed for Data Scalability and Agility
Entrans gives you skilled data teams who keep your systems well-designed, get pipelines running fast, and keep your data safe and organized. Our carefully checked network has deep skills in Apache Spark, Delta Lake, and full-scale machine learning operations, and we work in a way that fits smoothly into your data plans.
1. Share Your Requirements
Tell us about your architecture problems, migration needs, or machine learning goals so we know it's time for you to hire a Databricks developer.
2. Get Curated Profiles (Within 24-48 Hours)
Get pre-checked profiles with proven Databricks Certified Data Engineer Professional or ML Professional certificates.
3. Evaluate and Interview
Check their skills in PySpark speed tuning, Unity Catalog setup, or Delta Live Tables setup through real technical interviews.
4. Onboard and Kickoff (Within 48-72 Hours)
Bring on experts who already know your cloud setup (AWS, Azure, GCP), so your project doesn't lose time.
5. Continuous Support & Scaling
Keep things running smoothly with ongoing help tuning compute clusters, managing Databricks Workflows, and adding new AI features.
Our Hiring Models
Hire Dedicated Databricks Developers
Best for ongoing Lakehouse upkeep, complex machine learning work, and long-term data planning
Team Augmentation
Grow your in-house data team by adding a Databricks ML Engineer or Databricks Analytics Engineer to handle daily model training and SQL tuning.
Project-Based Engagement
Need to run a big migration? Bring on a Databricks Solutions Architect for a set project to move data from an old Hadoop system to Delta Lake.
Industries Our Data Engineers Contribute to With Their Expertise
Our team works with clients around the world in Financial Services, Healthcare, E-commerce, and Manufacturing Analytics. Our specialists build strong, scalable data systems using their deep knowledge of Databricks.
Chief Executive Officer
Chief Executive Officer
Looking to Hire Databricks Developers to Unify Your Data?
Book a Free ConsultationFrequently Asked Questions
What does a Databricks developer do?
A Databricks developer builds and maintains unified big data and AI systems on the Lakehouse platform. This includes writing PySpark and Spark SQL code, setting up data pipelines with Databricks Workflows and Delta Live Tables, and making sure computing costs stay low while analytics run fast.
What is the difference between a Databricks Data Engineer and a Databricks ML Engineer?
A Databricks Data Engineer focuses on building solid data pipelines, managing the Bronze/Silver/Gold layer system on Delta Lake, and improving how data comes in. A Databricks ML Engineer or Databricks AI Engineer uses that data to train machine learning models, launch them through the Databricks Runtime, and manage them over time with MLflow.
Why should I hire expert Databricks developers instead of using open-source Spark?
While Apache Spark is powerful on its own, Databricks gives you a fully managed, optimized version of it. Hiring Databricks developers lets you use extra tools like the Photon Engine for speed, Unity Catalog for control, and Databricks Asset Bundles for smooth code releases, cutting way down on the time spent on upkeep.
How does Databricks handle orchestration and scheduling?
Developers use Databricks Jobs and Databricks Workflows to manage tasks that depend on each other. This lets data teams schedule notebooks, Spark jobs, and Delta Live Tables pipelines without needing outside tools like Airflow.
How much does it cost to hire a Databricks expert?
In 2026, the cost to hire Databricks developers in the United States runs from $100 to $180 an hour, since there's high demand for Lakehouse and PySpark skills. Offshore rates offer great value, with certified experts in India starting at $40 to $70 an hour, and nearshore experts in Latin America or Eastern Europe running $65 to $110 an hour.
