
Lead Data Engineer (FinOps)
Are you ready to take the lead as a Data Engineer in the fast-paced world of FinOps at Capital One? We are seeking a highly skilled and experienced individual to join our team and play a pivotal role in driving data engineering initiatives for our financial operations. As a Lead Data Engineer, you will have the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to deliver innovative solutions that power our business. If you have a passion for data, a strong technical background, and a desire to make an impact, we want to hear from you!
- Design and develop data pipelines and ETL processes to support financial operations at Capital One.
- Lead and manage a team of data engineers to ensure timely and high-quality delivery of data engineering projects.
- Collaborate with cross-functional teams, including data scientists, business analysts, and product managers, to understand data requirements and design solutions.
- Implement and maintain data governance processes and standards to ensure data accuracy and integrity.
- Identify and evaluate new data technologies and tools to improve data processing and analysis capabilities.
- Troubleshoot and resolve data-related issues, ensuring data quality and availability.
- Develop and maintain documentation for data engineering processes, code, and systems.
- Mentor and coach junior data engineers to enhance their technical skills and knowledge.
- Stay updated with industry trends and best practices in data engineering and apply them to improve processes and systems.
- Communicate project updates and progress to stakeholders, including management and other teams.
- Collaborate with security and compliance teams to ensure data privacy and security standards are met.
- Participate in the recruitment and hiring process to build a high-performing data engineering team.
- Continuously monitor and optimize data engineering processes for efficiency and scalability.
- Work with large and complex datasets to solve business problems and provide insights.
- Proactively identify and address data gaps and issues to ensure data accuracy and completeness.
Bachelor's Or Higher Degree In Computer Science, Engineering, Or A Related Field.
At Least 5 Years Of Experience In Data Engineering Or Related Roles, With A Focus On Financial Operations (Finops).
Strong Understanding Of Cloud Computing Platforms, Such As Aws Or Azure, And Experience With Designing And Implementing Data Pipelines On These Platforms.
Proficiency In Programming Languages Commonly Used In Data Engineering, Such As Python, Java, Or Scala.
Excellent Communication And Leadership Skills, With Experience In Managing And Mentoring A Team Of Data Engineers.
Sql
Python
Business Intelligence
Big Data
ETL
DevOps
Data Management
Cloud Computing
Analytics
Data governance
Data architecture
Finops Strategy
Communication
Conflict Resolution
Emotional Intelligence
Leadership
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
Time-Management
According to JobzMall, the average salary range for a Lead Data Engineer (FinOps) in Plano, TX, USA is $100,000 - $150,000 per year. However, this can vary depending on the specific company, experience level, and other factors. Some companies may offer higher salaries or additional benefits for this role. It is important to research the specific company and their compensation packages to get a more accurate salary range.
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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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