Senior Data Engineer & Tech Lead (IC/Manager)

Information Technology Senior Management Forum; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 to lead and contribute to cloud-first data solutions. You will collaborate with Agile teams, mentor others, and work with ML, lakehouse architecture, and modern data platforms. This role emphasizes security, scalability, and data quality across the organization.

Located in VA with competitive compensation, the team builds data-driven tools for risk management and customer impact, leveraging Databricks, Snowflake, and NoSQL databases.

Qualifications

• Bachelor's degree or higher in Computer Science or a related quantitative field.
• At least 4 years of experience in application development.
• At least 2 years of experience in distributed data.
• At least 2 years of experience with SQL.
• At least 2 years of experience with 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 with relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence a team of developers, data analysts and data scientists.
• Build data pipelines and leverage cloud data warehousing platforms like Databricks and Snowflake.
• Design scalable, secure data solutions and enforce coding standards.
• Partner with product managers to deliver cloud-first data products.

Skills

Python

SQL

Spark

Data pipelines

Distributed systems

Cloud computing

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

NoSQL databases

ETL tools

Job description

Capital One is seeking a Data Engineer 4 to lead and contribute to cloud-first data solutions. You will collaborate with Agile teams, mentor others, and work with ML, lakehouse architecture, and modern data platforms. This role emphasizes security, scalability, and data quality across the organization.

Located in VA with competitive compensation, the team builds data-driven tools for risk management and customer impact, leveraging Databricks, Snowflake, and NoSQL databases.