Senior Lead Data Engineer (Python, AWS, Spark, Kakfa, SQL, Snowflake, DynamoDB, Databricks, GenAI)
Capital One
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 7 days ago
- has location, quality description (6554 chars)
- 5 skills
- Direct ATS (workday)
McLean, VA
First seen 1 week ago
Last seen 1 hour, 9 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Lead the design and development of scalable data pipelines and platforms using Python, SQL, Spark, Kafka, Snowflake, and Databricks for Capital One's Marketing and Messaging team
• Mentor and collaborate with engineering teams on data movement, distributed computing, and cloud-based solutions while ensuring code quality through testing and peer reviews
• Requires Bachelor's degree, 6+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing (AWS/Azure/GCP) experience
• Preferred qualifications include Master's degree, 9+ years development experience with Python/SQL/Spark/AWS Glue, 4+ years public cloud experience, and expertise with distributed computing tools
• Opportunity to work on hyper-personalized omnichannel messaging solutions at a major financial services company with focus on emerging technologies and GenAI applications
Skills
go
sql
aws
git
python
Quick Actions
Job Information
-
Company:
Capital One -
Location:
McLean, VA -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
66
/100
Likely Active (66)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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