Senior Data Engineer

Richmond, VA, US • Posted 11 hours ago • Updated 9 hours ago
Contract W2
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Agile
  • Amazon Redshift
  • Amazon Web Services
  • Apache Cassandra
  • Apache Hadoop
  • Apache Hive
  • Data Engineer
  • Apache Kafka
  • Apache Spark
  • Application Development
  • Big Data
  • Data Warehouse
  • Database
  • Databricks
  • Electronic Health Record (EHR)
  • Finance
  • Google Cloud
  • Google Cloud Platform
  • Java
  • Linux
  • Machine Learning (ML)
  • MapReduce
  • Mentorship
  • Microservices
  • Microsoft Azure
  • MongoDB
  • MySQL
  • NoSQL
  • Open Source
  • Programming Languages
  • Python
  • RDBMS
  • Real-time
  • SQL
  • Scala
  • Shell Scripting
  • Snow Flake Schema
  • Streaming
  • Unix

Summary

Job Title: Senior Data Engineer
Location: Richmond, Virginia
Duration: 12 Months
Reclocation is allowed
Need ex-Capital One candidates only


What You ll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct 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
  • 8+ years of experience in application development including Python, SQL, Scala, or Java
  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 2+ years of experience working with Databricks
  • 3+ years experience with Distributed data or computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 2+ year experience working on real-time data and streaming applications
  • 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 2+ years of data warehousing experience (Redshift or Snowflake)
  • 3+ years of experience with UNIX or Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices
  • At least 3years of experience in application development (Internship experience does not apply)
  • At least 1 year of experience in big data technologies
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91097274
  • Position Id: 8904338
  • Posted 11 hours ago
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