This site uses cookies. To find out more, see our Cookies Policy

Data Engineer in Glen Allen, VA at Vaco

Date Posted: 3/14/2018

Job Snapshot

Job Description

Data experts-are you ready to grow your career by applying your data expertise to more complex projects with some of the nation's top companies? Let Vaco serve as your advocate in presenting you to clients who are looking for Data Engineers. Our recruiting staff gives you an advantage over your competition by promoting your strengths and assets directly to hiring managers while helping you to be more prepared for your interviews.

From keeping you up to date on market trends and industry expectations to providing you with valuable insight into the company culture, compensation expectations, and growth opportunities of specific clients, Vaco will give you the edge you need in today's highly competitive job marketplace. If you are passionate about data and are ready for a rewarding new challenge, let Vaco help you to make it happen. Apply today!

***NO THIRD PARTIES - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time***

Back-end Developer/Data Engineer

  • Significant experience with Java development (Spring, Hibernate, Java 8 or 9)
  • Big data programming languages (Scala, Python)
  • Familiar with major DB implementations: Oracle, Postgres, MongoDB
  • Data engineering credentials:
  • Streaming data platforms and modern ETL (Kafka, Spark, Storm, AWS Kinesis, AWS EMR, Azure Streams)
  • Operationalizing machine learning (TensorFlow, AML, scikit-learn, MLlib, Azure ML, Mahout)
  • Databases designed for massive scale (Cassandra, Mongo, SnowFlake, Terradata, AWS RedShift, AWS Dynamo, Azure Cosmos, Google BigTable)
  • Nice to have:
  • Test automation (e.g. Cucumber, Gherkin)
  • Server-side Node.js experience would be a big plus
  • CI/CD (e.g. Jenkins, TeamCity, AWS CodeBuild )
  • Cloud Experience (e.g. AWS, Azure)
  • DevOps techniques in the cloud (AWS Cloudformation, Azure ARM, Terradata)
  • 2+ years of professional data engineering experience strongly preferred (for now)
  • Experience with Agile project teams (Scrum, Kanban, SAFe)
  • Should be okay with up to 75% travel on a project-by-project basis (typical project is 3-6 months)