Data Engineer 4 (Python, Oracle Database)
About The Position
Capital One is seeking a Data Engineer passionate about combining data with emerging technologies and contributing to a major technology transformation. The role works across Agile teams to build, implement, and support cloud-first data solutions and applications. It involves independently delivering data solutions, establishing engineering patterns, and communicating technical concepts and outcomes to stakeholders. The Data Engineer works with Python, Spark, relational and NoSQL databases, and cloud data warehousing platforms such as Databricks and Snowflake. The position focuses on scalable, resilient, operationally efficient data pipelines and platforms, as well as data security measures including encryption and fine-grained access controls. The role also contributes to technology communities and mentors others in 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 experience in distributed data.
- 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 experience in data pipeline design and development.
- 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+ years of application development experience 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: AWS, Microsoft Azure, or Google Cloud.
- 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.
- 3+ years of experience with Oracle Database Administration.
- 3+ years of experience with Oracle Enterprise Manager.
- 2+ years of experience with data observability tools such as Monte Carlo or Splunk, or data orchestration tools such as Airflow or Dagster.
- 4+ years of experience working with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
- 4+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift.
- 2+ years of experience working in an Agile development environment.
- 2+ years of experience developing user-centric reusable data products.
Responsibilities
- Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies.
- Influence developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
- Use programming languages such as Python and Spark, open-source relational and NoSQL databases, and cloud data warehousing platforms such as Databricks and Snowflake.
- Stay current with data trends and emerging technologies, participate in technology communities, and mentor members of the data community.
- 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 support from supervisors or managers.
- Architect and enforce common data engineering design patterns that promote code quality, maintainability, and reusability.
- Communicate technical concepts and data outcomes clearly 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, while ensuring compliance with data privacy regulations.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
