Data Engineer 4 Manager (IC) — Cloud & Data Platforms

HITEC

McLean (VA)

On-site

USD 197,000 - 225,000

Full time

8 days ago

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Job summary

Capital One is seeking a Data Engineer 4 (Manager, IC) in the EDT group to drive data platform transformation. You will collaborate with Agile teams to design and implement scalable data solutions, mentor peers, and advance cloud-first data strategies across the enterprise.

You will work with Python, Spark, and a mix of SQL and NoSQL databases, leveraging Databricks and Snowflake to enable real-time analytics for millions of customers and improve data governance and security.

Qualifications

  • Bachelor's Degree in Computer Science or a related quantitative field.
  • At least 4 years of experience in application development.
  • At least 2 years of distributed data experience.
  • At least 2 years of experience with SQL.
  • At least 2 years of experience in one programming language (Python, Java, or Scala).
  • At least 2 years of experience in data pipeline design and development.
  • At least 1 year of experience in data modeling and end-to-end data solutions using relational and non-relational databases.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
  • Influence a team of developers, data analysts and data scientists on data and ML topics.
  • Utilize Python and Spark with databases and cloud data warehousing (Databricks, Snowflake).
  • Mentor other members of the data community and stay current with data trends.

Skills

Python
SQL
Spark
Java/Scala

Education

Bachelor's Degree in Computer Science or related quantitative field

Tools

Databricks
Snowflake
Redshift

Job description

Capital One is seeking a Data Engineer 4 (Manager, IC) in the EDT group to drive data platform transformation. You will collaborate with Agile teams to design and implement scalable data solutions, mentor peers, and advance cloud-first data strategies across the enterprise.

You will work with Python, Spark, and a mix of SQL and NoSQL databases, leveraging Databricks and Snowflake to enable real-time analytics for millions of customers and improve data governance and security.

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