Data Engineering Expert with Cloud and Data Solutions
4 days ago
Capital One is seeking a Senior Data Engineer to join our team, responsible for designing, developing, and implementing data engineering solutions using Python, Spark, and AWS. As a key member of our team, you will work on complex business problems in a fast-paced environment, collaborating with Agile teams to deliver robust cloud-based solutions that drive powerful experiences for millions of Americans.
Key Responsibilities:
- Collaborate with cross-functional teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Utilize programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases, as well as Cloud based data warehousing services such as Redshift and Snowflake
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
What We're Looking For:
We are looking for a highly skilled and experienced Data Engineer who can work collaboratively as part of a team to deliver high-quality solutions. To be successful in this role, you will need to have a strong background in data engineering, experience with cloud-based technologies, and excellent communication and collaboration skills. Additionally, you should be passionate about learning and staying up-to-date with the latest technologies and trends in the field.
Benefits:
Candidates hired to work in New York City (Hybrid On-Site) will receive a salary of $165,100 - $188,500 per year. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
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