Data Engineer 5 (SEO/GEO, AdTech )

Capital One is hiring a Data Engineer 5 (SEO/GEO, AdTech) in McLean, VA onsite. The role supports a major transformation by delivering cloud-first data solutions and scalable marketing and messaging platforms.

Role Responsibilities

• Partner with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies.
• Guide and influence developers, data analysts, and data scientists with experience across machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Build using Python and Spark, integrating open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake.
• Stay current with data engineering trends by experimenting with new technologies, participating in internal and external tech communities, and mentoring members of the data community.
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that create impactful experiences supporting financial empowerment for millions of Americans.
• Independently design, build, and deliver cloud data solutions and applications with limited guidance from supervisors or managers.
• Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines.
• Design and operate data pipelines and platforms with a focus on scalability, resilience, and operational efficiency to maintain performance as data volume and business demands grow.
• Serve as a force-multiplier by combining hands-on engineering contributions with innovation and mentoring to elevate peer and junior engineer capabilities.
• Lead end-to-end, large-scale data initiatives and drive key architectural decisions, including evaluating platform options (for example, Snowflake vs Databricks) based on technical and business requirements.
• Act as an ambassador for data engineering by communicating technical concepts and data outcomes clearly to internal and external stakeholders.

Required Qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
• At least 6 years of experience in application development (internship experience does not apply).
• At least 4 years of experience in distributed data.
• At least 4 years of experience with SQL.
• At least 4 years programming with at least one of: Python, Java, or Scala.
• At least 4 years 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.

Technologies

Python, Spark, Databricks, Snowflake, SQL, Java, Scala, EMR, Glue, Redshift, Airflow, Dagster, Monte Carlo, Splunk, AWS, Microsoft Azure, Google Cloud, NoSQL, MongoDB, Cassandra, DynamoDB

Team Overview

The Marketing and Messaging team delivers hyper-personalized messages and experiences to delight customers, attract prospects, and increase business value. The team builds scalable platforms that support omnichannel messaging across owned and paid AdTech channels.

Preferred Qualifications

• Master’s Degree in Computer Science or a related field.
• 8+ years of experience in data engineering.
• 4+ years of data modeling experience.
• 9+ years of application development experience with demonstrated proficiency in Python, SQL, Scala, or Java.
• 5+ years hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud).
• 5+ years experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks.
• 5+ years experience designing, implementing, and operating real-time or streaming data pipelines.
• 3+ years experience with data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster).
• 5+ years experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
• 5+ years experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift).
• 3+ years experience working in an Agile development environment.
• 3+ years experience developing user-centric reusable data products.

Salary and Incentives

Location: McLean, VA (onsite)

Salary: USD 229,900 - 262,400 per year for Data Engineer 5.

The role may also be eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Additional Information

• Capital One expects to accept applications for a minimum of 5 business days.
• No agencies please.
• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination.
• Capital One promotes a drug-free workplace.
• Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws.
• Accommodation request: contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected].
• Technical support or recruiting process questions: email [email protected].