Need experienced Data Engineers to help you turn raw data into valuable business insights? Our experts specialize in ETL processes, data pipelines, cloud solutions, and real-time data processing.
Whether you’re modernizing legacy systems or building a new data platform from scratch, Reenbit’s skilled data engineers are ready to power your success.
Proven Expertise in Data Engineering & Cloud Technologies
Our data engineers combine deep technical expertise with hands-on experience across Big Data, ETL, Cloud Platforms like AWS, Azure, and GCP, as well as modern data infrastructure tools such as Apache Spark, Snowflake, Airflow, and dbt. From structured databases to unstructured data lakes, we handle it all.
Scalable & Secure Data Pipelines
We design and optimize data pipelines that grow with your business. Our solutions support high-performance data ingestion, real-time processing, and batch workflows – ensuring your data is always accurate, timely, and secure.
Cost-Effective & Flexible Hiring Models
Choose the engagement model that fits your needs – dedicated data engineers, project-based teams, or on-demand specialists ready to integrate with your existing workflows. We offer full-time remote data engineers who adapt to your processes and time zone.
Data Pipeline Development
We build robust data pipelines that ensure seamless data flow across your organization, enabling real-time data processing and analytics.
Data Transformation and Cleaning
We clean and transform your data to ensure it is accurate, consistent, and ready for analysis, helping you make informed business decisions.
Data Warehouse & Data Lake Solutions
We design and implement data warehouses and data lakes that provide a centralized repository for all your data, enabling advanced analytics and business intelligence.
Data Integration & ETL Solutions
Our experts provide comprehensive data integration and ETL solutions, ensuring your data is accurately extracted, transformed, and loaded for optimal use.
Database Design and Management
From database design to management, we ensure your databases are optimized for performance, scalability, and security.
Data Governance & Security
We implement robust data governance and security measures to ensure your data is protected and compliant with industry regulations.
ETL Developer
Experts in designing and maintaining ETL processes that ensure seamless data flow across your systems.
Data Pipeline Engineer
Specialists in building data pipelines for batch and streaming data.
Database Engineer
Skilled in database design, optimization, and maintenance for relational and NoSQL databases.
Infrastructure Engineer
Architects who design and manage scalable, cloud-native data infrastructure.
Our service models
Tech partnership
Needs
Custom approach to solving software development and other business challenges, including modernization, automation, and digitalization
Focus
Top-notch tech solutions
Start time
Right away
Our service models
Dedicated team
Needs
Expanding development capabilities with the help of a dedicated team of remote developers
Focus
Tailored team setup
Start time
2 weeks
Our service models
IT staff augmentation
Needs
Scaling client’s team to a small number of handpicked experts
Focus
Best match expert hire
Start time
5 business days
Cloud Platforms
- Microsoft Azure
- Google Cloud
- Snowflake Data Cloud
Data Integration Tools
- Azure Data Factory
- Azure Synapse Analytics
- Apache Airflow
- Fivetran
- Azure Databricks
- Azure Event Hub
- Azure IoT Hub
Databases
- Microsoft SQL Server
- Snowflake
- Google Big Query
- Azure SQL DW
- Azure Synapse Analytics
- Azure Data Lake Storage Gen 2
- Azure Blob Storage
- Azure Cosmos DB
Analytics Tools
- Azure Stream Analytics
- Azure Synapse Analytics
- Microsoft Fabric
Compliance reporting, fraud detection, real-time data streaming. Data engineering helps fintech companies securely process large volumes of transactions, detect suspicious activities instantly, and meet regulatory requirements through accurate reporting.
Secure data processing for medical records and analytics. Data engineering enables healthcare providers to manage patient records securely, analyze medical data for better diagnostics, and support research with reliable data pipelines.
Customer behavior analysis, inventory management, recommendation engines. With data engineering, e-commerce businesses can gain insights into customer preferences and optimize stock levels and personalized shopping experiences for higher conversion rates.
Predictive analytics, route optimization, supply chain visibility. Data engineering supports logistics by forecasting demand, reducing delivery times through optimized routes, and providing real-time tracking for better supply chain management.
Trend forecasting, inventory management, customer personalization. Data engineering allows fashion brands to analyze market trends, optimize stock levels, and create personalized marketing strategies, enhancing customer satisfaction and sales.
Demand forecasting, equipment monitoring, energy consumption analytics. Using data engineering, energy companies can better predict consumption, minimize downtime via proactive maintenance, and optimize resource use for greater efficiency.
Schedule a free consultation today to find the right Data Engineer for your project.
Reenbit’s work has streamlined processes, resulting in 50%–70% savings in time. Their use of agile methodologies has ensured a communicative and collaborative process. Their high level of expertise, proactivity, and availability is impressive.
They were highly pleased with the outcomes. Reenbit held weekly video calls for the project’s progress and used Slack and GitLab for seamless collaboration on documents and codes. Also, their respect for deadlines and budgets was exceptional.
Reenbit delivers quality work that pleases both internal stakeholders and end customers. Beyond that, they facilitate strong DevOps, agile, and testing processes. Timely and readily available, the team provides helpful suggestions and actionable solutions. Their enthusiasm sets them apart.
By successfully developing complicated software, Reenbit has positively transformed the way the client carries out their services. The team has managed the entirety of the project well, setting clear expectations and meeting them at every turn. They’re comprehensive, communicative, and punctual.
How to hire Data Engineers?
Start by defining your project requirements — from ETL development to data pipeline optimization. Share your needs with us, and we’ll match you with experienced data engineers who fit your goals.
How long does it take to hire a Data Engineer?
With Reenbit, you can onboard a qualified data engineer within 1-2 weeks. Our pre-vetted talent pool ensures fast and reliable hiring.
Can I scale my team up or down as needed?
Absolutely. Our flexible hiring model allows you to expand or reduce your team based on project demands.
Do your Data Engineers work in my time zone?
Yes. We ensure seamless collaboration by aligning your data engineers with your working hours.
What is the cost of hiring a Data Engineer?
Costs vary depending on experience level, project scope, and duration. Contact us for a custom quote.
How do I know if I need a Data Engineer or a Data Scientist?
If you need to build and manage data pipelines, integrate data sources, and ensure data quality, you need a Data Engineer. If your focus is more on analyzing data and building predictive models, a Data Scientist might be a better fit — and we can help with both.
Can your Data Engineers work with my existing data infrastructure?
Yes. Our team can seamlessly integrate into your existing tech stack, whether you’re on Azure, AWS, Google Cloud, or on-prem. We adapt to your tools and processes.