Description
We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you'll be at the forefront of driving a major transformation across Capital One.
You will collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. You will influence a team of developers, data analysts, and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
Key responsibilities:
- 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 clearly to both 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, SQL, and 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
The minimum and maximum full-time annual salaries for this role are:
- Chicago, IL: $179,400 - $204,700
- McLean, VA: $197,300 - $225,100
- New York, NY: $215,200 - $245,600
This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).