Senior Data Engineer

🕒 October 1

🗽 New York, Virginia – Remote

🗽 New York – Remote ⚔️ Virginia – Remote

💵 $286.2k - $392k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Capital One

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• Define the future of data platforms and banking in the cloud • Drive innovation and deliver scalable, reusable data solutions to complex problems • Lead technical strategy for data pipelines and data-sharing capabilities across lines of business • Drive best practices, engineering and delivery acceleration, platform scalability, operational excellence, performance, and resiliency • Build awareness and adoption of modern technologies • Promote engineering excellence and reuse or innersource solutions • Communicate with and influence stakeholders across the enterprise • Advise on technology, platform, and capability domains • Mentor internal talent and recruit external talent • Research emerging trends in data, AI, and engineering and develop an integration roadmap • Lead strategic alignment and integration decisions across data systems and business units • Own data strategy artifacts, governance policies, architecture blueprints, and data product roadmaps • Design and code critical data projects while influencing architectural standards • Work hands-on 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) • 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 experience programming 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 designing end-to-end data solutions using relational and non-relational database systems • Preferred: Master’s Degree in Computer Science or a related field • Preferred: 11+ years of experience in data engineering • Preferred: 8+ years of data modeling experience • Preferred: Experience 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 will consider sponsoring a new qualified applicant for employment authorization for this position

🏖️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Reasonable accommodations for applicants who require them