Senior Data Engineer (AWS, Spark, Python, SQL)
Capital One
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has location, quality description (5913 chars)
- 6 skills
- High confidence (90%)
- Direct ATS (workday)
New York, NY
First seen 3 weeks ago
Last seen 4 hours, 39 minutes ago
Workday
Search for This Role on Capital One
Search Google for This Role
ATS links often expire — Google search finds the latest posting
Try Direct Link (may be expired)Job Description
AI Summary
• Design, develop, and implement full-stack cloud-based data solutions on AWS using Python, Spark, SQL, and distributed computing technologies
• Collaborate with Agile teams including machine learning engineers and product managers to solve complex business problems and drive financial technology transformation
• Minimum requirements: Bachelor's degree, 3+ years application development experience, and 1+ year big data technologies experience
• Preferred qualifications include 5+ years development experience, 2+ years AWS/cloud experience, 3+ years with distributed tools (Spark, Hadoop, EMR), and data warehousing expertise (Redshift/Snowflake)
• Capital One does not sponsor visa or immigration-related work authorization for this position
Skills
sql
go
aws
java
git
python
Quick Actions
Job Information
-
Company:
Capital One -
Location:
New York, NY -
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 →
More from Capital One
-
Senior Support Operations (Data Publishing, Storage and Consumption Platforms, AWS)
Richmond, VA -
Business Director- Global Pricing
Riverwoods, IL -
Senior Manager, Data Analysis- Retail Bank, Enterprise Payments
McLean, VA -
Senior Associate, Brand Agency Relations
Richmond, VA -
Lead Software Engineer, Full Stack
McLean, VA