Capital One

Senior Data Engineer (Python, Kafka, Databricks, AWS)

Capital One
McLean, VA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you passionate about using cutting-edge technology to drive business solutions? Are you a natural problem-solver with a strong background in data engineering? Look no further, because Capital One is seeking a Senior Data Engineer with expertise in Python, Kafka, Databricks, and AWS to join our dynamic team. As a Senior Data Engineer, you will have the opportunity to lead and contribute to complex data projects that drive impactful business decisions. We are looking for a driven and collaborative individual who is dedicated to continuous learning and innovation. If this sounds like you, we encourage you to apply and join us in shaping the future of data at Capital One.

  1. Lead and contribute to complex data projects that drive impactful business decisions.
  2. Utilize cutting-edge technology, such as Python, Kafka, Databricks, and AWS, to develop innovative solutions for business needs.
  3. Use problem-solving skills to identify and resolve data-related issues.
  4. Collaborate with cross-functional teams to gather requirements and provide technical expertise.
  5. Develop and maintain data pipelines to ensure efficient and accurate data delivery.
  6. Stay up-to-date with industry trends and advancements in data engineering.
  7. Mentor and guide junior data engineers to foster a culture of continuous learning and growth.
  8. Drive the adoption of best practices and standards for data engineering within the organization.
  9. Communicate effectively with stakeholders to understand business needs and present technical solutions.
  10. Continuously monitor and improve data quality and data governance processes.
  11. Take ownership of data-related projects and ensure timely delivery.
  12. Work in an agile environment to deliver high-quality solutions in a fast-paced and dynamic setting.
  13. Collaborate with other data engineers and data scientists to develop and implement data-driven solutions.
  14. Proactively identify and address potential data engineering issues, such as scalability, performance, and security.
  15. Continuously strive for innovation and improvement in data engineering processes and tools.
Where is this job?
This job is located at McLean, VA, USA
Job Qualifications

  • Extensive Experience With Python Programming Language - A Senior Data Engineer At Capital One Should Have A Deep Understanding Of Python And Its Various Libraries And Frameworks. They Should Be Able To Write Efficient And Scalable Code To Process And Analyze Large Datasets.

  • In-Depth Knowledge Of Kafka - Capital One Relies Heavily On Kafka For Real-Time Data Processing And Streaming. A Senior Data Engineer Should Have Hands-On Experience With Kafka And A Strong Understanding Of Its Architecture And Best Practices.

  • Expertise In Databricks - As Capital One's Preferred Big Data Processing Platform, A Senior Data Engineer Should Possess Advanced Skills In Databricks. They Should Be Able To Design And Implement Complex Etl Pipelines, Troubleshoot Performance Issues, And Optimize Workflows On Databricks.

  • Proficiency In Aws - Capital One's Data Infrastructure Is Built On Aws, And A Senior Data Engineer Should Have A Deep Understanding Of Aws Services, Such As Ec2, S3, Redshift, And Emr. They Should Be Able To Design And Deploy Scalable Data Solutions On Aws.

  • Strong Analytical And Problem-Solving Skills - In Addition To Technical Qualifications, A Senior Data Engineer At Capital One Should Possess Strong Analytical And Problem-Solving Skills. They Should Be Able To Understand Complex Business Requirements And Translate Them Into Technical Solutions. They Should Also Be Able To Troubleshoot And Resolve Data-Related Issues Quickly And Efficiently.

Required Skills

  • Database Management

  • Data Modeling

  • Distributed systems

  • Big data analysis

  • Data warehousing

  • Data Visualization

  • ETL Development

  • Python programming

  • SQL querying

  • Real-Time

  • Cloud Computing (Aws)

Soft Skills

  • Communication

  • Conflict Resolution

  • Decision Making

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Data Engineer (Python, Kafka, Databricks, AWS) in McLean, VA, USA is $130,000 - $170,000 per year. This salary range can vary depending on factors such as years of experience, specific skills and technologies, and the company's size and industry.

Additional Information
Capital One is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedJuly 11th, 2024
Apply BeforeMay 22nd, 2025
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About Capital One

Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.

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