Data Engineer 4

Capital One is hiring Data Engineers to build cloud-first data platforms, pipelines, and operational capabilities using full-stack and distributed data technologies.

Responsibilities

• Work with Agile teams to design, develop, test, implement, and support technical solutions
• Guide developers, data analysts, and data scientists with experience across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Build with Python and Spark and integrate open-source relational and NoSQL databases
• Develop and operate cloud data warehousing solutions, including Databricks and Snowflake
• Stay current with data and engineering trends by experimenting with new technologies and participating in internal and external tech communities
• Mentor members of the data community
• Partner with product managers and software engineers to deliver robust cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications with little or no supervision
• Architect and enforce reusable data engineering design patterns to improve code quality and maintainability
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency
• Implement data security standards, including encryption at rest/transit and fine-grained access control, to support data privacy compliance
• Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment

Requirements

• 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 databases

Technologies

• Python, Spark
• Databricks, Snowflake
• SQL
• NoSQL databases; open-source relational databases
• Machine learning
• Distributed microservices; lakehouse architecture
• Encryption at rest; encryption in transit; fine-grained access control
• AWS, Microsoft Azure, Google Cloud
• EMR, Glue, Airflow, Dagster
• Monte Carlo, Splunk
• MongoDB, Cassandra, DynamoDB, Redshift

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Preferred Qualifications

• 7+ years of 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 (AWS, Microsoft Azure, or Google Cloud)
• 4+ years of experience building or supporting distributed data or compute workloads using 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 (Monte Carlo, Splunk) or data orchestration (Airflow, Dagster)
• 4+ years of experience with unstructured or semistructured data using NoSQL databases (MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Compensation / Incentives

• Plano, TX: $179,400 - $204,700 per year
• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)

Employment Authorization / Immigration Support

• Capital One will not sponsor a new applicant for employment authorization and will not offer immigration-related support for this position

Application / Other Statements

• Expected minimum application window: 5 business days
• No agencies
• Capital One is an equal opportunity employer (EOE, including disability/veter), committed to non-discrimination under applicable federal, state, and local laws
• Capital One promotes a drug-free workplace
• Qualified applicants with criminal history will be considered consistent with applicable laws regarding criminal background inquiries
• Accommodations: contact Capital One Recruiting at 1-800-304-9102 or [email protected]
• Technical support or recruiting process questions: [email protected]
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site
• Entity note: positions posted in Canada, United Kingdom, and Philippines correspond to their respective Capital One entities