Description
We are seeking experienced Data Engineers to join our team at Capital One. As a Data Engineer 4, you will collaborate with cross-functional teams to design, develop, test, and implement technical solutions using 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 expertise 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 knowledge of trends in data and emerging technologies with the team
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions
- Independently design, build, and deliver world-class cloud data solutions and applications
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes to internal and external stakeholders
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency
- Implement data security standards, including encryption at rest/transit and fine-grained access control
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field
- At least 4 years of experience in application development
- 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
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
- 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 working on data observability or data orchestration tools
- 4+ years of experience working with unstructured or semi-structured data using NoSQL databases
- 4+ years of experience designing and supporting data warehousing solutions
- 2+ years of experience working in an Agile development environment
- 2+ years of experience developing user-centric reusable data products
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives