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Data Engineer 4 - Payment Networks

Capital One McLean, VA

McLean, VA

Today

$197k - $225k/yr Full time Big Data Bigdata Cloud

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Job Description

Capital One is building cloud-first data solutions for payment networks, and is looking for a Data Engineer 4 to help drive scalable, secure data platforms and pipelines. You will work across Agile teams to design and deliver production-ready solutions, using modern distributed systems and lakehouse architecture while mentoring and sharing knowledge with the data community.

Compensation & location

McLean, VA (onsite)
Salary: USD 197,300 - 225,100 per year

What you’ll do

Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Guide a team of developers, data analysts, and data scientists with experience spanning machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Build and iterate with Python and Spark, leveraging open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
Deliver cloud-first data solutions with product managers and software engineers to support experiences that help millions of Americans achieve financial empowerment
Independently design, build, and deliver world-class cloud data solutions with little or no support from supervisors or managers
Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability
Create data pipelines and platforms focused on scalability, resilience, and operational efficiency, maintaining performance as data volume and business demands grow
Implement data security standards, including encryption at rest/transit and fine-grained access control, to support compliance with data privacy regulations
Act as an ambassador for the data engineering team by communicating technical concepts and data outcomes clearly to internal and external stakeholders
Stay current with data trends, experiment with new technologies, and mentor others through internal and external technical communities

Skills and 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 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

Technology areas

Python, Spark
Databricks, Snowflake
SQL
Open-source relational databases and NoSQL databases
Encryption at rest/transit and fine-grained access control
Relational database systems and non-relational database systems

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits
Performance based incentive compensation may include cash bonus(es) and/or long term incentives (LTI)

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 a 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.

Other details

Applications are expected to be accepted for a minimum of 5 business days
No agencies please
Capital One is an equal opportunity employer committed to non-discrimination in compliance with applicable 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
If you require an accommodation, contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com
For technical support or questions about Capital One’s recruiting process, email Careers@capitalone.com

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