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Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid)

Jobs for Humanity
Mc Lean, VA Full Time
POSTED ON 11/26/2023 CLOSED ON 12/13/2023

What are the responsibilities and job description for the Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid) position at Jobs for Humanity?

Job Description

Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid) Our team is seeking passionate individuals from all backgrounds to join us in creating the next generation of data products and capabilities at Capital One. Whether you are an experienced professional or just starting your career, we encourage you to apply. Responsibilities: - Build data pipeline frameworks to automate high-volume and real-time data delivery. - Develop data APIs and services to support operational and analytical applications. - Transform complex analytical models into scalable, production-ready solutions. - Continuously integrate and ship code into on-premise and cloud environments. - Develop applications using modern technology stack like Scala, Spark, Postgres, Angular JS, and NoSQL. - Collaborate with Product Owners and customers to deliver data products in an agile environment. Basic Qualifications: - Bachelor's Degree. - At least 6 years of application development experience. - At least 2 years of experience in big data technologies. - At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud). - At least 2 years of people management experience. Preferred Qualifications: - Master's Degree. - 7 years of application development experience (Python, SQL, Scala, or Java). - 4 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud). - 4 years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL). - 4 years of experience working on real-time data and streaming applications. - 4 years of experience with NoSQL (MongoDB, Cassandra). - 4 years of data warehousing experience (Redshift or Snowflake). - 4 years of experience with UNIX/Linux and shell scripting. - 4 years of experience with Agile engineering practices. Join our diverse and inclusive team dedicated to creating innovative data solutions. At Capital One, we value diversity and are committed to providing equal opportunities for all applicants. We do not discriminate based on age, race, color, national origin, religion, disability, gender identity, sexual orientation, veteran status, or any other legally protected status. To apply, please visit our website or contact Capital One Recruiting at (phone number removed) or (url removed) if you require any accommodations or technical support. Note: Capital One is an equal opportunity employer and promotes a drug-free workplace. We will consider applicants with a criminal history in accordance with applicable laws and regulations. Location-specific salaries: - New York City (Hybrid On-Site): $197,400 - $225,300 for Manager, Data Engineering. Benefits: At Capital One, we provide comprehensive health, financial, and other benefits to support your well-being. Learn more at our website. Note that the salary range may vary depending on the location and employment status (full-time or part-time), and incentives may be available based on performance. No agencies please. Capital One Financial is made up of different entities in different countries.

Salary : $197,400 - $225,300

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