
Senior Data Engineer
Capital One
full-time
Posted on:
Location Type: Office
Location: McLean • Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $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