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Data Engineer
Ref No.: 17-03205
Location: Mclean, Virginia
Position Type:Direct Placement
Start Date: 11/06/2017
The Job:
  • Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data & Fast Data applications
  • Building efficient storage for structured and unstructured data
  • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi, Storm and Kafka on AWS Cloud
  • Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift
  • Utilizing Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, and Cassandra
  • Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker
  • Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:
  • Bachelor's Degree or military experience
  • At least 5 years of professional work experience in data warehousing / analytics
  • At least 4 years of experience in open source programming languages for large scale data analysis
  • At least 3 years of Java development for modern data engineering
  • At least 3 years of data modeling development
  • At least 1 year of experience working with cloud data capabilities

Preferred Qualifications:
  • Master's Degree or PhD
  • 5+ years Java development experience
  • 4+ years of experience in Python, Scala, or R for large scale data analysis
  • 4+ years' experience with Relational Database Systems and SQL (PostgreSQL or Redshift)
  • 4+ years of UNIX/Linux experience
  • 2+ years of Agile engineering experience
  • 2+ years of experience with the Hadoop Stack
  • 2+ years of experience with Cloud computing (AWS)
  • 1+ years of experience with supervised machine learning

What we have:
  • Flexible work schedules
  • Convenient office locations
  • Generous salary and merit-based pay incentives
  • A startup mindset with the wallet of a top 10 bank
  • Monthly innovation challenges dedicated to test driving cutting edge technologies
  • Your choice of equipment (MacBook/PC, iPhone/Android Device)

Skills and Certifications [note: bold skills and certification are required]
Hadoop
Spark
Scala
Cloud services
AWS
Java
Python
Big Data

Candidate Details
7+ to 10 years experience
Seniority Level - Mid-Senior
Management Experience Required - No
Minimum Education - Bachelor's Degree
Willingness to Travel - Never