Data Engineer 4 (Manager, IC)
Capital One1 month ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$215k - $246k/yr
Responsibilities
- Collaborate across Agile teams to design, develop, test, implement, and support full-stack technical solutions.
- Influence developers, data analysts, and data scientists working with distributed microservices, lakehouse architecture, machine learning, and full-stack systems.
- Design, build, and deliver cloud-first data solutions, applications, platforms, and pipelines with minimal supervision.
- Architect and enforce reusable data engineering design patterns for code quality, maintainability, and consistency.
- Design scalable, resilient, and operationally efficient data pipelines and platforms for increasing data volumes and business demands.
- Implement encryption and fine-grained access controls to protect data and comply with privacy regulations.
- Communicate technical concepts and data outcomes to internal and external stakeholders.
- Mentor data community members and participate in technology communities while evaluating emerging data technologies.
Requirements
- Bachelor’s degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 4 years of application development experience; internship experience does not apply.
- At least 2 years of experience with distributed data, SQL, one programming language, and data pipeline design and development.
- At least 1 year of experience in data modeling and end-to-end data solutions using relational and non-relational databases.
- Preferred: 7+ years of application development experience with Python, SQL, Scala, or Java.
- Preferred: 4+ years designing, deploying, and operating data workloads in AWS, Microsoft Azure, or Google Cloud.
- Preferred: 4+ years building or supporting distributed data or compute workloads with EMR, Spark, Glue, or Databricks.
- Preferred: 4+ years designing and operating real-time or streaming data pipelines.
- Preferred: 2+ years with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster.
- Preferred: 4+ years with unstructured or semistructured data and NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
- Preferred: 4+ years designing and supporting data warehouses such as Snowflake or Redshift.
- Preferred: 2+ years in an Agile development environment and 2+ years developing reusable user-centric data products.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- The role is posted for locations including Cambridge, Massachusetts; McLean, Virginia; New York, New York; and Richmond, Virginia.
- The position is expected to accept applications for a minimum of 5 business days.
- Performance-based incentive compensation may include cash bonuses and long-term incentives; these are separate from base salary.
Tech Stack
Categories
Data Engineering
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.