Data Engineer 4

Capital One is seeking a Data Engineer to help drive a major transformation by building cloud-first data solutions and scalable data pipelines. The role focuses on designing, developing, securing, and operating distributed data platforms, with opportunities to mentor and communicate technical outcomes across teams.

Location and Work Model

Plano, TX (onsite)

Compensation and Incentives

USD 179,400 - 204,700 per year

This role may also be eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.

Responsibilities

• Work with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Provide technical influence to a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark along with open-source relational and NoSQL databases, and cloud data warehousing platforms including Databricks and Snowflake
• Stay current on data engineering trends through experimentation, 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 support experiences for millions of Americans seeking financial empowerment
• 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 platforms and pipelines
• Serve as a data engineering ambassador, communicating technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency to perform under increasing data volume and business demand
• Implement data security standards, including encryption at rest, encryption in transit, and fine-grained access control, ensuring compliance with data privacy regulations

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, SQL
• Databricks, Snowflake
• NoSQL databases, open-source relational databases
• Distributed microservices, machine learning, 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

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being.

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

Employment Authorization / Immigration Support

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

Application / Other Information

• Applications are expected to be accepted 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 in compliance with applicable federal, state, and local laws
• 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 regarding criminal background inquiries
• Accommodation requests for applicants can be directed to Capital One Recruiting at 1-800-304-9102 or [email protected]
• Technical support or questions about the recruiting process can be sent to [email protected]
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site
• Capital One Financial is made up of several entities; positions posted in Canada are for Capital One Canada, positions posted in the United Kingdom are for Capital One Europe, and positions posted in the Philippines are for Capital One Philippines Service Corp. (COPSSC)