Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology)

Discover Financial
Richmond
Workplace: OnsiteFull timeUSD 179,400 - 225,100 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Mentoring","Leadership","Code reviews","Cross-functional collaboration","Technical leadership"]

Build and scale core data infrastructure and full-stack enterprise systems within Enterprise Platforms Technology. Design distributed microservices and highly available pipelines to ingest, process, and serve massive volumes of customer data with low latency. Leverage AWS big-data services and optimize Apache Spark performance, while integrating AI-native coding assistants and autonomous tooling into development and testing workflows. Lead technical standards, mentoring, monitoring/CI-CD, and continuous refactoring to reduce technical debt.

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FursaFursa
Discover Financial
Discover Financial
11 hours ago

Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build and scale core data infrastructure and full-stack enterprise systems within Enterprise Platforms Technology. Design distributed microservices and highly available pipelines to ingest, process, and serve massive volumes of customer data with low latency. Leverage AWS big-data services and optimize Apache Spark performance, while integrating AI-native coding assistants and autonomous tooling into development and testing workflows. Lead technical standards, mentoring, monitoring/CI-CD, and continuous refactoring to reduce technical debt.
Location: Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain highly scalable data pipelines, distributed microservices, and full-stack applications.
  • •Develop backend systems to ingest, process, and serve customer data with low latency, high availability, and strong data consistency.
  • •Tune Apache Spark performance and optimize cloud big-data architectures to minimize compute costs and maximize pipeline throughput.
  • •Integrate AI-native workflows and AI coding assistants into daily development, testing, refactoring, and monitoring.
  • •Lead and mentor cross-functional engineers; set technical standards; implement monitoring/alerting and CI/CD for zero-downtime deployments.

Pay and Benefits

Salary: USD 179,400 - 225,100 annually

Key Requirements

  • •4+ years of software engineering experience (internship experience does not apply).
  • •2+ years of experience with public cloud platforms and related technologies (AWS, GCP, Azure) or virtualization technologies.
  • •Bachelor’s degree or higher in Computer Science or a related quantitative field.
  • •Advanced SQL and experience managing open-source RDBMS and NoSQL databases.
  • •Experience with CI/CD pipelines, Git-based version control, and automated testing frameworks.
Experience:4+ years
Education:Bachelor's in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Skills:MentoringLeadershipCode reviewsCross-functional collaborationTechnical leadership
Tech Stack:JavaScalaPythonGoNode.jsTypeScriptAWS EMRAWS GlueAWS LambdaAWS Step FunctionsAWS S3AWS RDSAWS DynamoDBAWS KinesisSQLOpen Source RDBMSNoSQLApache SparkClaude CodeGitHub Copilot

Eligibility

Visa:H1BF-1 OPTF-1 STEM OPTF-1 CPTJ-1TNE-3O-1
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn