Senior Data Engineer

Plan 5 (31065), United States of America, Plano, Texas Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking a Senior Data Engineer who is passionate about marrying data with emerging technologies. As a Capital One Senior Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: 1. Proactively seek out opportunities to address customer needs and influence stakeholders so that we are building the best solutions for the most important problems 2. Support the design and development of scalable data architectures and systems that extract, store, and process large amounts of data 3. Build and optimize data pipelines for efficient data ingestion, transformation, and loading from various sources while ensuring data quality and integrity  4. Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts and/or Product Owners to understand their requirements and provide efficient solutions for data exploration, analysis, and modeling 5. Implement testing, validation and pipeline observability to ensure data pipelines are meeting customer SLAs 6. Use cutting edge technologies to develop modern data pipelines supporting Machine Learning and Artificial Intelligence Basic Qualifications: - Bachelor’s Degree  - At least 4 years of experience in application development (Internship experience does not apply) - At least 1 year of experience in big data technologies  Preferred Qualifications: - 5+ years of experience in application development including Python, SQL, Scala, or Java - 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka or Spark) - 2+ years of data warehousing experience (Redshift or Snowflake)  - 3+ years of experience with UNIX/Linux including basic commands and shell scripting - 2+ years of experience with Agile engineering practices  At this time, Capital One will not sponsor a new applicant for employment authorization for this position.