Sr. Staff Data Engineer (Remote -Eligible)
Capital One1 month ago
Remote, United States +3 moreStaff+
Base Salary
$286k - $392k/yr
Responsibilities
- Drive the strategic direction and roadmap of the enterprise data engineering practice.
- Lead architecture and integration decisions across data systems and business units.
- Design, code, deploy, and operate scalable data pipelines, data platforms, and data-sharing capabilities.
- Create and maintain data strategy artifacts including governance policies, architecture blueprints, and data product roadmaps.
- Improve platform scalability, performance, resiliency, operational excellence, and engineering delivery acceleration.
- Serve as a trusted advisor for key data technologies, platforms, and capability domains.
- Research emerging data, AI, and engineering trends and guide adoption of relevant technologies.
- Mentor internal engineers, develop next-generation technical talent, and recruit external talent.
- Communicate technical concepts through documentation, code samples, blog posts, and other knowledge-sharing materials.
- Influence stakeholders and promote reusable, innersourced, and engineering-excellence practices across the organization.
Requirements
- Bachelor’s degree in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 9 years of experience in data engineering.
- At least 5 years of experience in data architecture.
- At least 3 years of experience building applications in AWS.
- At least 7 years of programming experience with Python, Java, or Scala.
- At least 6 years of experience designing and developing data pipelines.
- At least 4 years of experience in data modeling and end-to-end data solutions using relational and non-relational databases.
- Preferred: Master’s degree in Computer Science or a related field.
- Preferred: 11+ years of data engineering, 8+ years of data modeling, and 12+ years of application development experience.
- Preferred: Experience with ontology standards, machine learning model deployment, public cloud data workloads, distributed data or compute workloads, streaming pipelines, data observability, orchestration, NoSQL databases, data warehousing, and reusable data products.
- Preferred: Experience with AWS, Microsoft Azure, or Google Cloud and tools including EMR, Spark, Glue, Databricks, Monte Carlo, Splunk, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Snowflake, and Redshift.
Benefits
- Remote-eligible work arrangement, with location-specific compensation ranges for Remote, McLean, New York, and Richmond.
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Applications are expected to remain open for a minimum of 5 business days.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache AirflowApache CassandraApache FlinkApache KafkaApache SparkAWSAzureDatabricksGoogle CloudJavaMongoDBPythonScalaSnowflakeSplunkSQL
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.