Senior Data Engineer
Capital One
full-time
Posted on:
Location Type: Hybrid
Location: McLean • New York, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $308,700 - $384,200 per year
Job Level
Senior
Tech Stack
AWSCloudJavaKafkaPythonScalaSparkSQL
About the role
- Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
- Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
- Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
- Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
- Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in a unified manner
- Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
Requirements
- Bachelor’s Degree
- At least 9 years of experience in data engineering
- At least 5 years of experience in data architecture
- At least 3 years of experience in building applications in AWS
- At least 3 years of experience with Python, Scala, Java, or SQL
- At least 3 years of experience with Flink or Spark
- At least 3 years of experience with Kafka
- At least 3 years of experience with Delta Lake or Iceberg
- At least 3 years of experience building performant, resilient Big Data solutions
- Masters’ Degree (Preferred)
- 10+ years of experience in data engineering (Preferred)
- 3+ years of data modeling experience (Preferred)
- 2+ years of experience with ontology standards for defining a domain (Preferred)
- 3+ years of experience deploying machine learning models (Preferred)
- 1+ year of experience deploying Agentic AI solutions (Preferred)
- 3+ years of experience implementing big data processing solutions on AWS or other cloud providers (Preferred)
- 3+ years of experience with Snowflake or Databricks (Preferred)
- 3+ years of experience with Data Observability tooling (lineage, data quality, monitoring or alerting) (Preferred)
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureAWSPythonScalaJavaSQLFlinkSparkKafka
Soft skills
communicationinfluencementoringcollaborationleadership
Certifications
Bachelor’s DegreeMaster’s Degree