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Hire experienced data engineers who can build scalable data infrastructure, pipelines, and storage systems to maintain the data backbone your business needs.
Our data engineers have helped companies design and deploy high-throughput ETL pipelines and enable the transition from legacy systems to modern cloud-based data stacks.
Robust data pipeline development
Data engineers build and maintain ETL/ELT pipelines to ensure timely, clean, and structured data delivery across systems.
Cloud data architecture expertise
They design data lakes and warehouses using platforms like AWS Redshift, Google BigQuery, Snowflake, and Azure Synapse.
Real-time & batch data processing
Our engineers work with tools like Apache Kafka, Spark, and Airflow to handle streaming and scheduled data workflows.
Data quality and governance
Experts enforce schema validation, data integrity, and monitoring, ensuring clean, traceable, and secure data at scale.
Support for analytics & ML teams
They enable downstream teams, data analysts, data scientists, and LLM engineers, by delivering well-modeled, queryable datasets.
Are you looking for
personalized assistance?
Platform-agnostic engineers
Our engineers are skilled across modern data stacks, like dbt, Snowflake, Redshift, Kafka, Airbyte, Spark, and more.
Fast integration with your stack
Whether you're cloud-native or modernizing legacy systems, our engineers integrate quickly with your workflows and teams.
Experience with complex data ecosystems
From IoT data to event logs to third-party APIs, our engineers are used to handling large volumes of structured and semi-structured data.
Focus on performance & reliability
We build pipelines that scale, self-heal, and alert, so your dashboards and AI systems never run on stale or broken data.
Flexible engagement options
Hire short-term, long-term, or fractional engineers to match your project load and timelines, without sacrificing on skills
From startups to global enterprises, our clients share how Amenities Global has helped them accelerate innovation, solve real-world challenges, and build smarter with AI-powered solutions.
The Amenity Team is a standout group of professionals in AI chatbot development, consistently delivering bug-free, expert-level code. Their strong communication skills and seamless collaboration make working with them a breeze. With deep expertise in AI chatbot projects using LLMs and ChatGPT, including web and WhatsApp platforms, you’re in the best hands!
have the honor and privilege of working with Amenity on many projects these last 6 months. Amenity has demonstrated immense and exceptional capabilities in developing robust custom computer-vision-learning algorithms, Deep Neural Networks, and Convolutional Neural Networks, and has advanced our R&D exponentially! Trust can never be more valuable and critical for any startup, especially when building and developing partnerships!
I must thank Amenity for opening our eyes and expanding our AI capabilities beyond measure!
Excellent work, Great communication throughout the project. Took time to understand the task then provided an excellent out come.
Dealing with amenity such good experience on our AI project. Very co operative team with polite nature.
Excellent work, Great communication throughout the project. Amenity delivered one of our Most Difficult NLP Based project.
Excellent Work Experience with Amenity, completed incredible IoT work for our project.
Dealing with Amenity such Good Experience on Project. They work are Accurate According to Requirements Also Team is very co operative and Trustworthy.
What does a data engineer do?
A data engineer builds and maintains the systems that collect, transform, store, and serve data across your organization for analytics and AI usage.
What tools do your data engineers work with?
They use tools like Apache Airflow, dbt, Kafka, Spark, BigQuery, Snowflake, Redshift, and various ETL/ELT platforms.
Do I need a data engineer if I already have a data analyst?
Yes. Data engineers prepare and manage the raw infrastructure and pipelines that make it possible for analysts and scientists to work with usable, trustworthy data.
Can your engineers handle real-time data?
Absolutely. We have experience with real-time processing using Kafka, Flink, and streaming ingestion pipelines for time-sensitive applications.
What cloud platforms do you support?
Our data engineers work with AWS, GCP, Azure, and hybrid environments, designing cloud-optimized architectures that scale.
How quickly can I hire a data engineer from Amenity Tech?
You can onboard a vetted data engineer in 3 – 7 business days, matched to your data stack and industry needs.