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 (6555 chars)
- 5 skills
- Direct ATS (workday)
McLean, VA
First seen 1 week, 1 day ago
Last seen 1 hour, 25 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Senior lead role designing and building scalable data pipelines and platforms for personalized customer messaging, using Python, SQL, Spark, Kafka, Snowflake, and AWS technologies.
• Requires bachelor's degree with 6+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing (AWS/Azure/GCP); preferred qualifications include 9+ years development and 4+ years public cloud experience.
• Lead developer position mentoring junior engineers while collaborating across agile teams on data movement, distributed computing, and full-stack system solutions for omnichannel messaging platforms.
• Responsible for optimizing data design, ensuring code quality through testing and peer reviews, and staying current with emerging technologies including GenAI applications.
• Part of Capital One's transformation initiative focused on delivering hyper-personalized financial experiences to millions of customers while driving business value through data governance and permissible use practices.
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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