Lead Data Engineer: Python, AWS, GenAI, Snowflake

Capital One

Chicago (IL)

On-site

USD 179,000 - 205,000

Full time

14 days+
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Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking a Lead Data Engineer to drive data engineering efforts across the Enterprise Platforms Technology organization. You will lead a team of developers, collaborate with Agile teams, and build scalable data pipelines using Python, SQL, and cloud data warehousing services.

The role emphasizes data modeling, governance, and using emerging technologies like GenAI. You will mentor engineers, contribute to platform improvements, and deliver robust cloud-based solutions for millions

Qualifications

  • Bachelor's Degree required.
  • At least 4 years of application development experience.
  • At least 2 years of big data technologies experience.
  • At least 1 year of cloud computing experience (AWS, Azure, GCP).
  • Experience with Python, SQL, Spark, ETL tools, and cloud data warehousing.

Responsibilities

  • Collaborate with Agile teams to design and deliver technical data solutions.
  • Lead a team of developers in data movement, distributed computing, and full-stack systems.
  • Utilize Python, SQL, Snowflake/Databricks for data warehousing and analytics.
  • Optimize data design for end-user and downstream consumers.
  • Mentor engineers and share knowledge of new technologies.

Skills

Python
SQL
Spark
ETL tools
AWS Glue
Big data
Cloud computing
NoSQL

Education

Bachelor's Degree

Tools

Snowflake
Databricks
Hadoop
Redshift
Kafka
MongoDB
MySQL

Job description

Capital One is seeking a Lead Data Engineer to drive data engineering efforts across the Enterprise Platforms Technology organization. You will lead a team of developers, collaborate with Agile teams, and build scalable data pipelines using Python, SQL, and cloud data warehousing services.

The role emphasizes data modeling, governance, and using emerging technologies like GenAI. You will mentor engineers, contribute to platform improvements, and deliver robust cloud-based solutions for millions

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