Data Engineer 5 (SEO/GEO, AdTech )

Discover Financial
United States
Workplace: OnsiteFull timeUSD 229,900 - 262,400 annuallyFunction: Marketing & GrowthEducation: bachelorsSkills: ["Collaboration","Mentoring","Communication","Independent execution","Technical leadership"]

Build and support cloud-first data platforms for omnichannel marketing and messaging. Collaborate with Agile teams to design, develop, test, and operate scalable data pipelines using Python, Spark, and SQL, with tools like Databricks and Snowflake. Influence developers, analysts, and data scientists working on distributed microservices and lakehouse architectures, while independently delivering end-to-end solutions and mentoring peers.

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Discover Financial
Discover Financial
12 hours ago

Data Engineer 5 (SEO/GEO, AdTech )

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Canonical indexed version, validated from employer's careers page.

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

Job Summary

Build and support cloud-first data platforms for omnichannel marketing and messaging. Collaborate with Agile teams to design, develop, test, and operate scalable data pipelines using Python, Spark, and SQL, with tools like Databricks and Snowflake. Influence developers, analysts, and data scientists working on distributed microservices and lakehouse architectures, while independently delivering end-to-end solutions and mentoring peers.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Mid level

Key Responsibilities

  • •Collaborate with Agile teams to design, develop, test, implement, and support full-stack data engineering solutions.
  • •Influence developers, data analysts, and data scientists using machine learning, distributed microservices, lakehouse architectures, and full-stack systems.
  • •Design and build cloud data solutions and applications, independently delivering end-to-end capabilities with minimal supervision.
  • •Architect and enforce reusable data engineering design patterns to ensure code quality, maintainability, and reusability across platforms and pipelines.
  • •Lead large-scale data initiatives, including evaluating platform choices (e.g., Snowflake vs Databricks) and delivering robust, scalable, resilient pipeline performance.

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.
  • •At least 6 years of experience in application development.
  • •At least 4 years of experience in distributed data and at least 4 years with SQL.
  • •At least 4 years programming with Python, Java, or Scala.
  • •At least 2 years in data modeling and designing end-to-end data solutions using relational and non-relational databases.
Experience:Data engineeringDistributed systemsAdTechData pipelinesCloud data warehousing
Education:Bachelor's in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Skills:CollaborationMentoringCommunicationIndependent executionTechnical leadership
Tech Stack:PythonSparkSQLJavaScalaDatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRGlueAirflowDagsterMonte CarloSplunkMongoDBCassandraDynamoDBRedshift

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