Description
We are seeking experienced Data Engineers to join our team at Capital One. As a Data Engineer, you will be responsible for designing, developing, testing, implementing, and supporting technical solutions in full-stack development tools and technologies.
Responsibilities:
- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
- Influence a team of developers, data analysts, and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
- Share your passion for staying on top of trends in data, experimenting with and 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 drive powerful experiences to help millions of Americans achieve financial empowerment
- Independently design, build, and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field
- At least 6 years of experience in application development
- At least 4 years of experience in distributed data
- At least 4 years of experience with SQL
- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
- At least 4 years of experience designing and developing data pipelines
- At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
Preferred Qualifications:
- Master's Degree in Computer Science or a related field
- 8+ years of experience in data engineering
- 4+ years of data modeling experience
- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
- 5+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment
- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
- 3+ years of experience working on data observability or data orchestration tools
- 5+ years of experience working with unstructured or semi-structured data using NoSQL databases
- 5+ years of experience designing and supporting data warehousing solutions
- 3+ years of experience working in an Agile development environment
- 3+ years of experience developing user-centric reusable data products
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being