About The Position

The Senior Manager, Data Engineering role at Capital One focuses on leading teams in the Intelligent Foundations and Experiences domain. This position is responsible for overseeing data engineering projects, ensuring the effective management of data resources, and driving innovation in data solutions. The role requires a strategic mindset to align data initiatives with business objectives and to foster a culture of collaboration and excellence within the team.

Requirements

  • Proven experience in data engineering or related fields.
  • Strong leadership skills with experience managing teams.
  • Expertise in data modeling, ETL processes, and data warehousing.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.

Nice To Haves

  • Experience with machine learning and data science concepts.
  • Familiarity with big data technologies such as Hadoop or Spark.
  • Knowledge of data governance and compliance standards.

Responsibilities

  • Lead and manage a team of data engineers to deliver high-quality data solutions.
  • Develop and implement data engineering strategies that align with business goals.
  • Collaborate with cross-functional teams to understand data needs and provide solutions.
  • Ensure data quality and integrity across all data engineering projects.
  • Mentor and develop team members to enhance their skills and career growth.

Benefits

  • Comprehensive health insurance plans.
  • 401(k) retirement plan with matching contributions.
  • Performance-based incentive compensation including cash bonuses.
  • Flexible work arrangements and paid time off.
  • Professional development opportunities.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service