Data Engineer 5, Tech

🕒 October 7

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $209k - $238.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 with 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, open-source relational and NoSQL databases, 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 data engineering design patterns across platforms and pipelines • Communicate technical concepts and data outcomes to internal and external stakeholders • Design and build scalable, resilient, and operationally efficient data pipelines and platforms • Mentor peers and junior engineers while contributing hands-on technical expertise • Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake versus Databricks

🎯 Requirements

• Bachelor's Degree or higher in Computer Science or a related quantitative field • At least 6 years of experience in application development; internship experience does not apply • At least 4 years of experience in distributed data • At least 4 years of experience with SQL • At least 4 years of programming experience with Python, Java, or Scala • At least 4 years of experience designing and developing data pipelines • At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems • Capital One will consider sponsoring a new qualified applicant for employment authorization • Preferred: Master's Degree in Computer Science or a related field • Preferred: 8+ years of experience in data engineering • Preferred: 4+ years of data modeling experience • Preferred: 9+ years of application development experience with Python, SQL, Scala, or Java • Preferred: 5+ years of experience with AWS, Microsoft Azure, or Google Cloud • Preferred: 5+ years of experience with EMR, Spark, Glue, or Databricks • Preferred: 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines • Preferred: 3+ years of experience with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster • Preferred: 5+ years of experience with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB • Preferred: 5+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift • Preferred: 3+ years of experience in an Agile development environment • Preferred: 3+ years of experience developing user-centric reusable data products

🏖️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive health, financial, and other benefits supporting total well-being • Reasonable accommodations for applicants who require them