Hire Your Data Dream Team Today
Hire the top 1% of 3 million+ engineers.
here are the data team packages available for team augmentation
Complete Data Engineering Squad
$12,500/month
$20,300/month
38% Instant Discount
- 2 Senior Data Engineers ($7,000/month)
- 1 Data Platform Engineer ($4,500/month)
- 1 Analytics Engineer ($3,800/month)
Data Migration
Blitz
$10,000/month
$15,900/month
37% Instant Discount
- 2 ETL Developers ($6,400/month)
- 1 Data Platform Engineer ($4,500/month)
Enterprise Data Transformation
$15,000/month
$25,500/month
41% Instant Discount
- 2 Senior Data Engineers ($7,000/month)
- 1 MLOps Engineer ($5,200/month)
- 1 Data Platform Engineer ($4,500/month)
- 1 Analytics Engineer ($3,800/month)
Your Strategic Advantage in Talent Acquisition
Our Development Center Strength
Frequently Asked Questions
- How do your data team ensure data security and confidentiality?
Hire offshore data engineers from ValueCoders for enhanced security as our developers adhere to stringent security protocols to ensure the highest level of data protection. This includes implementing advanced encryption techniques, rigorous access controls, and regular security audits. We follow industry best practices and compliance standards to protect your data, ensuring confidentiality and mitigating risks of unauthorized access or breaches.
- How do I monitor progress once the work starts?
We ensure full transparency with regular updates and easy-to-use tools. You can monitor progress through:
- Dedicated project management platforms like Jira or Trello
- Weekly or bi-weekly status calls
- Real-time communication via Slack or email
This keeps you in control of the project every step of the way
- What are the skills of a Data Engineer?
A data engineer is skilled in C#, Java, Python, R, Ruby, Scala SQL., Python, R, and other relevant programming languages. A data engineer is also expected to have skills in different ETL tools and Rest-oriented APIs necessary for managing and creating data integration tasks. Additionally, a data engineer must deeply understand data lakes, data warehouses, and how they work.
Besides, having skills related to NoSQL databases and Apache Spark systems – the typical components of data workflow is a must. A data engineer must have a better understanding of relational database systems, such as MySQL, PostgreSQL, and Lambda architecture, supporting unified data pipelines for batch and real-time processing. They must possess knowledge and expertise in different Business Intelligence (BI) platforms.
- What are the roles and responsibilities of a Data Engineer?
A data engineer usually works alongside data analysts and data scientists as an integral part of the data team. A data engineer builds data pipelines by pulling together data from multiple sources. Cleansing and consolidating cleaned data is also one of the major roles of a data engineer. Structuring and organizing data in a specified format for using it in specific data analytics applications. The key responsibility of a data engineer is to provide data in a usable form to the data scientist for further processing and analysis. A data engineer is also responsible for providing aggregated data to whoever needs it for analysis and processing.
- Do I need to hire a Data Engineer separately for my Data Science project?
No, you do not need to hire a data engineer separately for a data science project. A data team compromised to execute your data science project will have all the necessary skills, expertise, and professionals required to complete the project.