Data Engineer

🔥 3 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $179.4k - $204.7k / year

⏰ Full Time

🟡 Mid-level

🟠 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

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions • Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems • Use Python and Spark, relational and NoSQL databases, and cloud data warehouses including Databricks and Snowflake • Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data professionals • Collaborate with product managers and software engineers to deliver cloud-first data solutions • Independently design, build, and deliver cloud data solutions and applications • Architect and enforce reusable data engineering design patterns • Communicate technical concepts and data outcomes to internal and external stakeholders • Design and build scalable, resilient, and operationally efficient data pipelines and platforms • Implement data security standards including encryption and fine-grained access control • Support data solutions that help millions of Americans achieve financial empowerment

🎯 Requirements

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) • At least 4 years of experience in application development; internship experience does not apply • At least 2 years of experience in distributed data • At least 2 years of experience with SQL • At least 2 years of experience with Python, Java, or Scala • At least 2 years of experience in data pipeline design and development • At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems • No employer sponsorship or immigration-related support for new applicants • Preferred: 7+ years of application development experience with Python, SQL, Scala, or Java • Preferred: 4+ years designing, deploying, and operating data workloads in a public cloud environment (AWS, Microsoft Azure, or Google Cloud) • Preferred: 4+ years with distributed data or compute workloads using EMR, Spark, Glue, or Databricks • Preferred: 4+ years designing, implementing, 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 using NoSQL databases such as MongoDB, Cassandra, or DynamoDB • Preferred: 4+ years designing and supporting data warehousing solutions such as Snowflake or Redshift • Preferred: 2+ years in an Agile development environment • Preferred: 2+ years developing user-centric reusable data products

🏖️ 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 • Remote or hybrid work arrangement, subject to Capital One policies • Reasonable accommodations for applicants with disabilities

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