Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations)
Capital One
🔍 Observed
65
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has salary, has location, quality description (6237 chars)
- Direct ATS (workday)
3 Locations
First seen 3 weeks, 1 day ago
Last seen 9 hours, 24 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Lead design and optimization of large-scale data platforms using Snowflake, Databricks, Apache Iceberg, and Spark, with focus on SQL and workload optimization across cloud environments
• Manage and mentor a team of developers while collaborating with Agile teams to architect and implement full-stack cloud-based solutions using Java, Scala, Python, and open-source databases
• Requires Bachelor's degree, 6+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing (AWS, Azure, or GCP)
• Preferred qualifications include 4+ years data warehousing experience, 9+ years in application development, 2+ years ML/Gen AI experience, and 5+ years with distributed computing tools like Spark and Hadoop
• Support Capital One's digital transformation by delivering robust solutions that drive customer financial empowerment while staying current with emerging technologies and mentoring the engineering community
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Job Information
-
Company:
Capital One -
Location:
3 Locations -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
65
/100
Likely Active (65)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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