Big Data/Machine Learning Engineer - Sr

Artech
Fairfax County, VA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$187,200.0 - $208,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Big Data Cloud Computing Cloud Database Computer Programming Data Architecture Information Engineering Extract Transform Load (ETL) Database Queries Distributed Computing Environment
+14 more
Python (Programming Language) Machine Learning Cloud Services Software Engineering Systems Integration Data Processing Database Optimization AWS Glue Apache Kafka Data Management Restful APIs Stream Processing Data Pipelines Amazon Elastic Mapreduce (EMR)

Job description

Capital One is looking for an experienced Senior Data Engineer with strong expertise in Big Data technologies, distributed data processing, and cloud-based data engineering solutions. The ideal candidate will have hands-on experience developing scalable data pipelines, working with AWS services, building REST APIs, and implementing real-time streaming solutions.

Requirements

Big Data, Machine Learning, Data Processing, Software Engineering, Big Data, REST (Representational State Transfer), Application Programming Interface (API), Cloud Computing, Data Management, Amazon Web Services (AWS), * Strong hands-on experience with Python and Scala programming.

  • Extensive experience with AWS cloud services, particularly AWS EMR and AWS Glue.
  • Strong knowledge of Big Data technologies and distributed data processing.
  • Experience developing and integrating REST APIs.
  • Hands-on experience with Apache Kafka and real-time data streaming.
  • Strong SQL skills, including complex queries and database optimization.
  • Experience designing, developing, and maintaining scalable ETL/ELT data pipelines.
  • Ability to troubleshoot, optimize, and maintain high-performance data engineering solutions.

Preferred Skills

  • Exposure to Artificial Intelligence (AI) and Machine Learning (ML) technologies.
  • Experience integrating AI/ML capabilities into data engineering workflows.
  • Familiarity with modern cloud-based data platforms and scalable data architectures.

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