Data Engineer 5 - Enterprise Risk Management

Discover Financial
Virginia, Richmond
Workplace: OnsiteFull timeUSD 229,900 - 262,400 annuallyFunction: Legal, Risk & ComplianceExperience: 6+ yearsEducation: bachelorsSkills: ["Collaboration","Mentoring","Communication","Innovation","Problem-solving"]

Design, develop, test, implement, and support cloud-first data engineering solutions in full-stack environments. Lead end-to-end large-scale data initiatives, architecting pipelines and platforms with scalability, resilience, and operational efficiency. Work with Agile teams and influence developers, data analysts, and data scientists using distributed microservices and lakehouse architectures. Build solutions using Python, Spark, SQL, and platforms such as Databricks and Snowflake, and mentor peers while communicating outcomes to stakeholders.

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FursaFursa
Discover Financial
Discover Financial
12 hours ago

Data Engineer 5 - Enterprise Risk Management

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, develop, test, implement, and support cloud-first data engineering solutions in full-stack environments. Lead end-to-end large-scale data initiatives, architecting pipelines and platforms with scalability, resilience, and operational efficiency. Work with Agile teams and influence developers, data analysts, and data scientists using distributed microservices and lakehouse architectures. Build solutions using Python, Spark, SQL, and platforms such as Databricks and Snowflake, and mentor peers while communicating outcomes to stakeholders.
Location: Virginia, Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: Legal, Risk & Compliance
Seniority: Mid level

Key Responsibilities

  • •Collaborate with Agile teams to design, develop, test, implement, and support data engineering solutions using full-stack tools and technologies.
  • •Independently design, build, and deliver cloud data solutions and applications with minimal support from supervisors or managers.
  • •Architect and enforce reusable data engineering design patterns to improve code quality, maintainability, and reusability.
  • •Design and build scalable, resilient data pipelines and platforms that perform under increasing data volume and business demand.
  • •Lead and execute large-scale data initiatives end to end, making critical architecture decisions such as evaluating Snowflake vs. Databricks.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

  • •Bachelor’s degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
  • •At least 6 years of experience in application development.
  • •At least 4 years of experience in distributed data.
  • •At least 4 years of experience with SQL.
  • •At least 4 years of programming with Python, Java, or Scala, plus 4 years designing and developing data pipelines.
Experience:6+ yearsData engineeringDistributed systemsMachine learningCloud data warehousingData pipelinesStreaming data
Education:Bachelor's in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Skills:CollaborationMentoringCommunicationInnovationProblem-solving
Tech Stack:PythonSparkSQLDatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRGlueJavaScalaAirflowDagsterSplunkMongoDBCassandraDynamoDBRedshiftMonte Carlo

Eligibility

Work Authorization:Sponsorship available.

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