Data Engineer 4 - HR Tech

Discover Financial
Richmond
Workplace: OnsiteFull timeFunction: People, HR & TalentExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Mentoring","Communication","Code quality focus","Independent execution"]

Design and deliver cloud-first data engineering solutions in Agile teams, building and supporting full-stack pipelines that enable scalable, resilient data platforms. Collaborate across developers, data analysts, and data scientists to apply machine learning and distributed microservices concepts using technologies like Python, Spark, lakehouse architectures, Databricks, and Snowflake. Architect reusable design patterns, enforce data security standards, and clearly communicate technical outcomes to stakeholders while driving a major transformation.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
12 hours ago

Data Engineer 4 - HR Tech

✓ Verified Job

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

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

Job Summary

Design and deliver cloud-first data engineering solutions in Agile teams, building and supporting full-stack pipelines that enable scalable, resilient data platforms. Collaborate across developers, data analysts, and data scientists to apply machine learning and distributed microservices concepts using technologies like Python, Spark, lakehouse architectures, Databricks, and Snowflake. Architect reusable design patterns, enforce data security standards, and clearly communicate technical outcomes to stakeholders while driving a major transformation.
Location: Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: People, HR & Talent
Seniority: Mid level

Key Responsibilities

  • •Collaborate with Agile teams to design, develop, test, implement, and support full-stack data engineering solutions.
  • •Independently design, build, and deliver cloud data solutions and applications with limited supervisor support.
  • •Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across pipelines.
  • •Design and build scalable, resilient data pipelines and platforms with strong operational efficiency under increasing data and business demand.
  • •Implement data security standards (encryption at rest/transit and fine-grained access control) to meet data privacy compliance requirements.

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 with distributed data and building data pipelines/design and development.
  • •At least 2 years of experience with SQL and at least 2 years of experience with one programming language (Python, Java, or Scala).
  • •At least 1 year of experience in data modeling and designing end-to-end solutions using both relational and non-relational databases.
Experience:4+ years
Education:Bachelor's in Computer Science or a related quantitative field
Skills:CollaborationMentoringCommunicationCode quality focusIndependent execution
Tech Stack:PythonSparkSQLDatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRGlueLakehouseMicroservicesNoSQLMongoDBCassandraDynamoDBRedshiftAirflowDagsterMonte Carlo

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