Lead Data Engineer (Python, Spark, Glue, AWS)
Capital One
🔍 Observed
68
Hiring Activity Score
Likely Active (65-79)
- Base score
- Just posted
- has location, quality description (6001 chars)
- 6 skills
- Direct ATS (workday)
Richmond, VA
First seen 2 hours, 58 minutes ago
Last seen 2 hours, 58 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Lead the design, development, and implementation of full-stack data solutions using Python, Spark, Glue, and AWS technologies in an Agile team environment
• Collaborate with machine learning engineers and product managers to build cloud-based distributed systems and data warehousing solutions on AWS platforms like Redshift and Snowflake
• Requires Bachelor's degree, 4+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing (AWS/Azure/GCP)
• Preferred qualifications include 7+ years development experience with Python/SQL/Scala/Java, 4+ years distributed computing tools (Spark, Hadoop, EMR), and 4+ years data warehousing or NoSQL experience
• Mentor engineering team members, stay current with tech trends, and conduct code reviews to ensure performance and quality; must be authorized to work in the U.S. (no visa sponsorship available)
Skills
sql
go
aws
java
git
python
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Job Information
-
Company:
Capital One -
Location:
Richmond, VA -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
68
/100
Likely Active (68)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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