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

Discover Financial
Richmond
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Mentoring","Code review","Technical leadership","Cross-functional collaboration"]

Own the architecture, development, and scaling of core data infrastructure and full-stack enterprise systems for Enterprise Platforms Technology. Build and optimize highly scalable data pipelines, distributed microservices, and low-latency backends using Java, Scala, Python, Go, Node.js, and TypeScript. Leverage AWS big data services and Apache Spark performance tuning, integrate AI coding assistants and autonomous workflows, and lead cross-functional engineering standards, monitoring, CI/CD, and zero-downtime deployments.

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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

Own the architecture, development, and scaling of core data infrastructure and full-stack enterprise systems for Enterprise Platforms Technology. Build and optimize highly scalable data pipelines, distributed microservices, and low-latency backends using Java, Scala, Python, Go, Node.js, and TypeScript. Leverage AWS big data services and Apache Spark performance tuning, integrate AI coding assistants and autonomous workflows, and lead cross-functional engineering standards, monitoring, CI/CD, and zero-downtime deployments.
Location: Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain robust, highly scalable data pipelines, distributed microservices, and full-stack applications.
  • •Build low-latency, high-availability backend systems for ingesting, processing, and serving large-scale customer data with strong data consistency.
  • •Leverage cloud big data architectures on AWS services and write optimized SQL queries across RDBMS and NoSQL systems.
  • •Tune Apache Spark jobs and lead monitoring, alerting, and CI/CD pipelines to ensure data quality and zero-downtime deployments.
  • •Provide technical leadership across backend, data, and full-stack teams by setting standards, mentoring engineers, and reducing technical debt.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • •At least 4 years of experience in software engineering (internship experience does not apply).
  • •At least 2 years of experience with public cloud platforms or related virtualization technologies.
  • •At least 4 years of experience with Advanced SQL (Open Source RDBMS) and NoSQL database management systems.
  • •At least 2 years of hands-on experience tuning Apache Spark performance (memory configuration, partitioning, DAG optimization).
Experience:4+ years
Education:Bachelor's
Skills:MentoringCode reviewTechnical leadershipCross-functional collaboration
Tech Stack:JavaScalaPythonGoNode.jsTypeScriptAWSEMRGlueLambdaStep FunctionsS3RDSDynamoDBKinesisSQLOpen Source RDBMSNoSQLApache SparkClaude Code

Eligibility

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