Data Engineer 4 (Manager, IC)
About The Position
Capital One is seeking a Data Engineer to help drive a major technology transformation by combining data engineering with emerging technologies. The role works across Agile teams to design, develop, test, implement, and support technical solutions, and collaborates with product managers, software engineers, data analysts, and data scientists to deliver cloud-first data products and applications. The Data Engineer independently designs, builds, and delivers cloud data solutions, establishes engineering patterns that support code quality and reuse, and develops scalable, resilient, and operationally efficient pipelines and platforms. The role also implements data security standards, communicates technical concepts and outcomes to stakeholders, stays current with technology trends, and mentors members of the data community.
Requirements
- Bachelor's degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 4 years of application development experience; internship experience does not apply.
- At least 2 years of distributed data experience.
- At least 2 years of SQL experience.
- At least 2 years of experience with one programming language: Python, Java, or Scala.
- At least 2 years of data pipeline design and development experience.
- At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems.
Nice To Haves
- 7 or more years of application development experience with demonstrated proficiency in Python, SQL, Scala, or Java.
- 4 or more years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment: AWS, Microsoft Azure, or Google Cloud.
- 4 or more years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks.
- 4 or more years of experience designing, implementing, and operating real-time or streaming data pipelines.
- 2 or more years of experience with data observability tools such as Monte Carlo or Splunk, or data orchestration tools such as Airflow or Dagster.
- 4 or more years of experience working with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
- 4 or more years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift.
- 2 or more years of experience working in an Agile development environment.
- 2 or more years of experience developing user-centric reusable data products.
Responsibilities
- Collaborate across Agile teams to design, develop, test, implement, and support technical solutions.
- Influence and work with developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
- Use programming languages and technologies such as Python, Spark, relational and NoSQL databases, Databricks, and Snowflake.
- Stay current with data technology trends, experiment with and learn new technologies, participate in technology communities, and mentor data community members.
- Collaborate with product managers and software engineers to deliver cloud-first data solutions.
- Independently design, build, and deliver cloud data solutions and applications with little or no supervisory support.
- Architect and enforce common data engineering design patterns to promote code quality, maintainability, and reusability.
- Communicate technical concepts and data outcomes to internal and external stakeholders.
- Design and build scalable, resilient, and operationally efficient data pipelines and platforms.
- Implement data security standards, including encryption at rest and in transit and fine-grained access control, to support compliance with data privacy regulations.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
