Capital One

Senior Data Engineer

Capital One

full-time

Posted on:

Location Type: Office

Location: McLean • Virginia • 🇺🇸 United States

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Salary

💰 $158,600 - $181,000 per year

Job Level

Senior

Tech Stack

Amazon RedshiftAWSAzureCloudHadoopKafkaMapReduceMicroservicesMySQLPythonSparkSQL

About the role

  • 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 Python and SQL 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

Requirements

  • Bachelor’s Degree
  • At least 3 years of experience in application development (Internship experience does not apply)
  • At least 1 year of experience in big data technologies
  • 5+ years of experience in data pipeline development including Python, SQL
  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 3+ years of experience utilizing a business intelligence visualization tool
  • 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 2+ years experience working on real-time data and streaming applications
  • 2+ years of data warehousing experience (Redshift or Snowflake)
  • 2+ years of experience with Agile engineering practices
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Professional development
  • Performance-based incentives

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLbig data technologiesdata pipeline developmentdata warehousingAgile engineering practicesdistributed microservicesreal-time datastreaming applicationsbusiness intelligence visualization
Soft skills
collaborationmentoringcommunicationpassion for technologyteamwork
Certifications
Bachelor’s Degree