Capital One is hiring a Data Engineer 4 (Manager, IC) to design, build, and operate cloud-first data platforms and pipelines.

Partner with and across Agile teams to design, develop, test, implement, and support full-stack technical solutions
Influence a team of developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Build data solutions using Python and Spark, supported by open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
Experiment with and learn new technologies; participate in internal and external technology communities; mentor members of the data community
Collaborate 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 support from supervisors or managers
Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability
Serve as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders
Design and build pipelines and platforms focused on scalability, resilience, and operational efficiency
Implement security standards including encryption at rest and encryption in transit plus fine-grained access control to support data privacy compliance

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

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

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

Data Engineer 4 (Manager, IC)

Job Description