Experience: 7+ years
We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
- Build and maintain comprehensive data models-spanning conceptual, logical, and physical layers-to ensure scalable architecture and high data integrity across enterprise systems.
- Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needs
- Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements.
- Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently.
- Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability
- Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals.
- Contribute to the evolution of the data ecosystem by designing AI-ready architectures
- Collaborate with and across Agile teams to design, develop, implement, and support technical solutions
- Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systems
- 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
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- At least 4 years of experience in application development (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- 4+ years of experience in Data Architecture / Data Modeling
- 7+ years of experience in application development including Python, SQL, Scala, or Java
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 4+ year experience working on real-time data and streaming applications
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 4+ years of data warehousing experience (Redshift or Snowflake)
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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This posting was published by Capital One on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.