Hi,

Hope you are doing good, this is Rajeev from FutureTech Consultants, LLC and I have a job opening with our direct client.

Please have a look at the below job description and let me know your interest. Please share me the latest copy of your resume.

Role: Big Data Engineer

Location: Washington, DC / Rockville, MD / McLean, VA (Hybrid 3 days onsite)

Duration: 6 Months with Possible Extension

Interview Type: 1^st Round Video & Final Round On-Site

Job Summary:

• We are seeking an experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems.
• This is an engineering-focused role supporting data-intensive applications and data science workflows.
• The ideal candidate has strong experience with distributed systems, cloud platforms, and technologies such as Spark, Hadoop, Python, and Scala.

Responsibilities:

• Design, develop, and maintain scalable data processing pipelines using Spark, Hadoop, Python, Scala, and related technologies.
• Build reliable solutions for data ingestion, storage, transformation, and processing.
• Translate business and analytical requirements into scalable engineering solutions.
• Optimize data pipelines for performance, scalability, and reliability.
• Build datasets, features, and pipelines that support data science, analytics, and model development.
• Develop automated testing frameworks and implement unit, integration, system, and end-to-end testing.
• Implement data quality controls and continuous testing practices.
• Monitor and troubleshoot production data pipelines and resolve performance or reliability issues.
• Collaborate with data scientists, analysts, and engineering teams on data-driven solutions.
• Evaluate emerging technologies and continuously improve data architecture and engineering practices.

Qualifications:

• Strong hands-on Big Data engineering experience.
• Experience with Apache Spark and Hadoop ecosystems.
• Strong programming skills in Python and/or Scala.
• Experience designing and optimizing large-scale data pipelines and distributed processing systems.
• Experience with cloud-based data platforms and services.
• Strong understanding of data ingestion, transformation, storage, and processing patterns.
• Experience with automated testing and data quality practices.
• Experience supporting data science or machine learning workflows.
• Strong problem-solving and troubleshooting skills.
• Experience with graph data or graph technologies is a plus.

Ideal Background:

• This role is best suited for a hands-on data engineer who has built large-scale data platforms and pipelines while working closely with data science teams.
• Direct data science experience is not required, but experience building the data infrastructure that supports analytics and machine learning is highly valued.

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