Data Engineer for Transformative Solutions
5 hours ago
Are you ready to pioneer in the technology space and drive a major transformation at Capital One? As a Data Engineer, you will marry data with emerging technologies to deliver powerful experiences that help millions of Americans achieve financial empowerment.
About UsCapital One is an equal opportunity employer committed to diversity and inclusion in the workplace. We believe in fostering an environment where our employees can grow professionally and personally.
About the RoleWe are seeking a highly motivated Data Engineer to join our team. The successful candidate will have a strong background in application development, big data technologies, and cloud-based solutions.
Key Responsibilities:- Design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
- Collaborate with Agile teams to deliver robust cloud-based solutions that drive business outcomes.
- Work with developers experienced in machine learning, distributed microservices, and full-stack systems.
- Utilize programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases and 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.
- Perform unit tests and conduct reviews with other team members to ensure code quality and performance.
This role offers a competitive salary range of $120,000 - $180,000 per year, depending on experience, along with a comprehensive benefits package and opportunities for professional growth and development.
RequirementsTo be considered for this role, you should have:
- A Bachelor's Degree in Computer Science or a related field.
- At least 3 years of experience in application development, including 1 year of experience in big data technologies.
- Strong knowledge of cloud-based solutions, including public clouds (AWS, Microsoft Azure, Google Cloud) and distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
- Experience working on real-time data and streaming applications, as well as NoSQL implementation (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
- UNIX/Linux experience, including basic commands and shell scripting, and Agile engineering practices.
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