Senior Data Engineer IC — Cloud-First Data Platforms

Capital One Group; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One in McLean, VA is hiring a Data Engineer 5 (Senior Manager, IC) to lead and deliver cloud-first data solutions. You’ll collaborate with agile teams across ML, data platforms, and software engineering to drive transformation.

This role requires 6+ years in data engineering, strong Python/Spark, SQL, and experience with Databricks/Snowflake on AWS. Mentoring, architecture decisions, and scale-focused design are key, with incentive opportunities.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data.
• At least 4 years of experience with SQL.
• At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala.
• At least 4 years of experience designing and developing data pipelines.
• At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
• Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
• Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
• Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements

Skills

Python

Spark

SQL

NoSQL databases

Machine learning

Distributed data systems

Education

Bachelor's Degree in Computer Science or related quantitative field

Master’s Degree in Computer Science or related field

Tools

Databricks

Snowflake

AWS

EMR

Glue

Airflow

Dagster

Job description

Capital One in McLean, VA is hiring a Data Engineer 5 (Senior Manager, IC) to lead and deliver cloud-first data solutions. You’ll collaborate with agile teams across ML, data platforms, and software engineering to drive transformation.

This role requires 6+ years in data engineering, strong Python/Spark, SQL, and experience with Databricks/Snowflake on AWS. Mentoring, architecture decisions, and scale-focused design are key, with incentive opportunities.