Senior Data Engineer

This is a fully remote position, open to applicants in New York, +1 more state.

📋 Description

• Shape the future of data platforms and banking within the cloud environment.

• Propel innovation and provide scalable, reusable data solutions to intricate challenges.

• Direct the technical strategy for data pipelines and data-sharing capabilities across various business lines.

• Foster best practices, enhance engineering and delivery speed, ensure platform scalability, operational excellence, performance, and resilience.

• Cultivate awareness and encourage the adoption of modern technologies.

• Advocate for engineering excellence and the reuse of inner-sourced solutions.

• Engage with and sway stakeholders throughout the enterprise.

• Provide guidance on technology, platform, and capability domains.

• Mentor existing talent and attract new external candidates.

• Investigate emerging trends in data, AI, and engineering, and create an integration roadmap.

• Oversee strategic alignment and integration decisions across data systems and business units.

• Manage data strategy artifacts, governance policies, architecture blueprints, and data product roadmaps.

• Design and code essential data projects while influencing architectural standards.

• Engage directly with AWS, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, Databricks, Python, SQL, Java, and/or Scala.

⛳️ Requirements

• Bachelor's Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).

• A minimum of 9 years of experience in data engineering.

• At least 5 years of experience in data architecture.

• A minimum of 3 years of experience building applications on AWS.

• At least 7 years of programming experience with Python, Java, or Scala.

• A minimum of 6 years of experience in designing and developing data pipelines.

• At least 4 years of experience in data modeling and developing end-to-end data solutions using both relational and non-relational database systems.

• Preferred: Master’s Degree in Computer Science or a related field.

• Preferred: Over 11 years of experience in data engineering.

• Preferred: More than 8 years of data modeling experience.

• Preferred: Familiarity with ontology standards, machine learning model deployment, public cloud environments, distributed data or compute workloads, real-time or streaming data pipelines, data observability or orchestration tools, NoSQL databases, data warehousing solutions, Agile development, and reusable data products.

• Capital One may consider sponsoring a new qualified applicant for employment authorization for this position.

🏝️ Benefits

• Performance-based incentive compensation, which may encompass cash bonuses and/or long-term incentives (LTI).

• A comprehensive, competitive, and inclusive package of health, financial, and other benefits that support overall well-being.

• Employment authorization sponsorship may be considered for a new qualified applicant.

• Reasonable accommodations available for applicants who need them.