Data Engineer 4 (Python, Oracle Database)

Capital One • Riverwoods, IL

1d • $179,400 - $204,700

About The Position

Capital One is seeking a Data Engineer to help drive a major transformation by combining data with emerging technologies. The role involves independently designing, building, and delivering cloud data solutions and applications, with little or no supervisor or manager support. You will collaborate across Agile teams and with product managers and software engineers to deliver cloud-first data solutions, and work with developers, analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems.

The position focuses on designing and building scalable, resilient, and operationally efficient data pipelines and platforms; applying common engineering patterns to promote code quality, maintainability, and reuse; and implementing data security practices such as encryption and fine-grained access controls. The Data Engineer will also communicate technical concepts and data outcomes to stakeholders, stay current with emerging technology, participate in technology communities, and mentor others in the data community.

The role is listed for Riverwoods, Illinois, with a full-time annual salary range of $179,400 to $204,700. It is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One provides a comprehensive benefits package; eligibility varies by employment status and other factors.

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 experience in application development; internship experience does not apply.
• At least 2 years of experience in distributed data.
• At least 2 years of experience with SQL.
• At least 2 years of experience with a programming language such as 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 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 a public cloud environment such as 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.
• 3 or more years of experience with Oracle Database Administration.
• 3 or more years of experience with Oracle Enterprise Manager.
• 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 a team of developers, data analysts, and data scientists working in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms such as Databricks and Snowflake.
• Stay current with data technology trends, experiment with new 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 to promote code quality, maintainability, and reusability across data platforms and pipelines.
• Communicate technical concepts and data outcomes to internal and external stakeholders to build alignment and shared understanding.
• 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; eligibility varies by employment status, exempt or non-exempt status, and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior