Data Engineer 4 - HR Tech

Capital One is building cloud-first data capabilities to support its HR Tech transformation. In this Data Engineer 4 role, you will help design scalable data pipelines and platforms, strengthen data security and compliance practices, and collaborate with Agile teams to deliver solutions that serve millions of Americans. The work emphasizes robust engineering fundamentals, practical experimentation with modern technologies, and clear communication of data outcomes to stakeholders.

What you’ll do

• Collaborate with and across Agile teams to design, develop, test, implement, and support solutions using full-stack development tools and technologies
• Influence a team of developers, data analysts, and data scientists with experience spanning machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Build with Python and Spark, integrating open-source relational and NoSQL databases and cloud-based data warehousing platforms such as Databricks and Snowflake
• Stay current on data engineering trends by experimenting with new technologies, contributing to internal and external technology communities, and mentoring others in the data community
• Work with product managers and software engineers to deliver cloud-first data solutions that drive powerful experiences
• Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to support code quality, maintainability, and reusability across pipelines and platforms
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency, maintaining performance as data volume and business demand increase
• Implement security standards including encryption at rest/transit and fine-grained access control to support compliance with data privacy regulations
• Serve as a data engineering ambassador by explaining technical concepts and data outcomes clearly to internal and external stakeholders

Qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 4+ years of experience in application development (internship experience does not apply)
• 2+ years of experience in distributed data
• 2+ years of experience with SQL
• 2+ years of experience with one programming language: Python, Java, or Scala
• 2+ years of experience in data pipeline design and development
• 1+ year 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, Airflow, Dagster, Monte Carlo, Splunk
• AWS, Microsoft Azure, Google Cloud
• MongoDB, Cassandra, DynamoDB, Redshift

Preferred qualifications

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

Location and salary

• McLean, VA (onsite)
• USD 197,300 - 225,100 per year
• Additional location range: Richmond, VA $179,400 - $204,700

Benefits

• Comprehensive, competitive, and inclusive set of 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)

Work authorization and other notes

• Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, O-1, or any other forms of work authorization requiring employer immigration support)
• No agencies please
• Capital One is an equal opportunity employer (EOE, including disability/vet) and is committed to non-discrimination in compliance with applicable laws
• Capital One promotes a drug-free workplace
• Capital One will consider applicants with a criminal history in accordance with applicable laws
• Applications are expected to be accepted for a minimum of 5 business days
• If you require accommodation for applying, contact Capital One Recruiting at 1-800-304-9102 or [email protected]
• For technical support or recruiting process questions, email [email protected]

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