Data Engineer 4 - HR Tech

Capital One is seeking a Data Engineer to support HR Tech transformation efforts through cloud-first data solutions. The role focuses on scalable data pipelines and platforms, strong data security and compliance, and close collaboration within Agile teams.

Role Location

McLean, VA (onsite)

Compensation

USD 197,300 - 225,100 per year

In addition to base salary, this position includes performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Provide technical influence to a team of developers, data analysts, and data scientists with expertise across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use programming languages including Python and Spark, along with 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 and learning new technologies, participating in internal and external technology communities, and mentoring members of the data community
• Work with product managers and software engineers to deliver robust cloud-first data solutions that support experiences for millions of Americans seeking financial empowerment
• Independently design, build, and deliver cloud data solutions and applications with limited direction 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 build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency to maintain strong performance as data volume and business needs grow
• Implement data security standards, including encryption at rest and encryption in transit, plus fine-grained access control to ensure compliance with data privacy regulations
• Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment

Required Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development (internship experience does not apply)
• 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 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 of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 4+ years of experience 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 of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Work Authorization

Capital One will not sponsor a new applicant for employment authorization or offer any immigration-related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, and other forms of work authorization requiring immigration support from an employer).

Additional Information

• No agencies please.
• Capital One is an equal opportunity employer (EOE, including disability and veteran status) committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.
• Capital One will consider qualified applicants with a criminal history in accordance with applicable laws regarding criminal background inquiries.
• Application window: this role is expected to accept applications for a minimum of 5 business days.
• Compensation incentives could be discretionary or non-discretionary depending on the plan.
• If you need an accommodation for applying, contact Capital One Recruiting at 1-800-304-9102 or [email protected].
• For technical support or questions about the recruiting process, email [email protected].

Salary by Location

• McLean, VA: $197,300 - $225,100
• Richmond, VA: $179,400 - $204,700

Capital One Financial Entities Notice

Any position posted in Canada is for Capital One Canada. Any position posted in the United Kingdom is for Capital One Europe. Any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).