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

- **Company:** DEV, INC
- **Location:** Poughkeepsie, NY, United States
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Applications Architecture, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Warehousing, Distributed Data Store, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), PostgreSQL, MongoDB, MySQL, NoSQL, Scala (Programming Language), Scaled Agile Framework, Shell Script, Software Engineering, SQL Databases, Data Streaming, Google Cloud, Snowflake, Apache Spark, Electronic Medical Records, AngularJS, Cassandra, Real Time Data, Apache Kafka, Data Delivery, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_11435f61270af948c6ec580327f9fb47

## About the Role

* Bachelor's Degree.
 * At least 6 years of experience in application development (Internship experience does not apply).
 * At least 2 years of experience in big data technologies.
 * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
 * At least 2 years of people management experience., * Master's Degree.
 * 7+ years of experience in application development (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.
 * 4+ years of experience with Agile engineering practices.

## Description

Center 1 (19052), United States of America, McLean, Virginia. Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid).

We are looking for driven individuals to join our team of passionate data engineers in creating Capital One's next generation of data products and capabilities.

 * Build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub.
 * Build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.
 * Transform complex analytical models into scalable, production-ready solutions.
 * Continuously integrate and ship code into our on premise and cloud Production environments.
 * Develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.
 * Work directly with Product Owners and customers to deliver data products in a collaborative and agile environment., * Lead and develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers.
 * Master new technologies rapidly as needed to progress varied initiatives.
 * Break down complex data issues and resolve them.
 * Build robust systems with an eye on the long term maintenance and support of the application.
 * Leverage reusable code modules to solve problems across the team and organization.
 * Drive cross team design and influencing / development via technical leadership / mentoring.
 * Influence cross team/matrix organization.
 * Broader knowledge sharing.
 * Provide technical guidance to team members.
 * Understand complex multi-tier, multi-platform systems.
 * Manage a team of data engineers (both full-time associates and/or third party resources).