Data Engineer 4 (Python, AWS, Kafka, Spark, SQL, Snowflake, Databricks, GenAI)

Discover Financial
Virginia, New York, Richmond
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Mentoring","Communication","Data security mindset","Agile delivery"]

Build cloud-first data engineering solutions that power hyper-personalized, omnichannel messaging platforms. Collaborate with Agile teams to design, develop, test, implement, and support scalable data pipelines using Python, Spark, and AWS, leveraging Databricks and Snowflake. You’ll influence engineers, data analysts, and data scientists with deep experience in distributed systems, lakehouse architectures, and machine learning, while enforcing data quality, reusability, and security standards.

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FursaFursa
Discover Financial
Discover Financial
2 days ago

Data Engineer 4 (Python, AWS, Kafka, Spark, SQL, Snowflake, Databricks, GenAI)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 28 minutes agoStatus: Live

Job Summary

Build cloud-first data engineering solutions that power hyper-personalized, omnichannel messaging platforms. Collaborate with Agile teams to design, develop, test, implement, and support scalable data pipelines using Python, Spark, and AWS, leveraging Databricks and Snowflake. You’ll influence engineers, data analysts, and data scientists with deep experience in distributed systems, lakehouse architectures, and machine learning, while enforcing data quality, reusability, and security standards.
Location: Virginia, New York, Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Collaborate with Agile teams to design, develop, test, implement, and support cloud-first technical solutions.
  • •Build and deliver world-class cloud data solutions and applications with minimal supervision.
  • •Design, build, and optimize scalable, resilient data pipelines and platforms for performance under increasing data volume.
  • •Architect and enforce data engineering design patterns to improve code quality, maintainability, and reusability across data platforms.
  • •Implement data security standards (encryption at rest/transit and fine-grained access control) and communicate technical outcomes to stakeholders.

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 application development experience (internship experience does not apply).
  • •At least 2 years of experience in distributed data and at least 2 years with SQL.
  • •At least 2 years of experience with one programming language (Python, Java, or Scala) and 2 years designing and developing data pipelines.
  • •At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational databases.
Experience:4+ years
Education:Bachelor's
Skills:CollaborationMentoringCommunicationData security mindsetAgile delivery
Tech Stack:PythonAWSKafkaSparkSQLSnowflakeDatabricksGenAIMicroservicesDistributed systemsLakehouse architectureNoSQLRelational databasesEMRGlueMongoDBCassandraDynamoDBRedshiftAirflow

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