✦ Luna Orbit — Data & Analytics

Lead Data Engineer, Bank Tech

at Discover Financial Services

📍 Wilmington, DE Unknown 💰 $179K – $204K USD / year Posted March 24, 2026
Salary $179K – $204K USD / year
Type Not Specified
Experience lead
Exp. Years 4+ years
Education Bachelor's Degree
Category Data & Analytics

Discover Financial Services seeks a Lead Data Engineer to design, develop, and support data solutions leveraging big data technologies and cloud platforms to enable advanced analytics and data-driven decision making.

  • design data pipelines
  • develop cloud-based data solutions
  • mentor team members
  • optimize data performance
  • support data warehousing

This role involves full-stack data engineering using Java, Scala, Python, and cloud services like AWS, Azure, and Google Cloud, with expertise in data warehousing and NoSQL databases.

The ideal candidate is a senior data engineer with 4+ years of experience in big data technologies, cloud platforms, and application development, capable of leading data projects and mentoring teams.

JavaScalaPythonbig data technologiescloud computing
RedshiftSnowflakeNoSQLAWSAzureGoogle Clouddistributed systemsstreaming applications
RedshiftSnowflakeMongoDBCassandraHadoopHiveKafka
JavaScalaPythonbig data technologiescloud computingRedshiftSnowflakeNoSQL
JavaScalaPythonOpen Source RDBMSNoSQL databasesRedshiftSnowflakeapplication developmentbig data technologiescloud computingAWSMicrosoft AzureGoogle Cloud
collaborationproblem-solvingcommunicationmentoringteamwork

Preferred

AWS Certified Solutions ArchitectGoogle Cloud CertifiedMicrosoft Certified: Azure Solutions Architect
Industry Financial Services
Job Function Lead data engineering and cloud data solutions
Role Subtype Data Engineer
Tech Domains Python, Java, Scala, Redshift, Snowflake, NoSQL databases, Hadoop, Kafka, Cloud platforms
lead data engineerbig datacloud computingAWSAzureGoogle Cloudapplication developmentPythonJavaScalaNoSQLRedshiftSnowflakedistributed systemsstreaming applicationsdata warehousing

Lack of experience with cloud platforms, No experience in big data technologies

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