✦ Luna Orbit — Data & Analytics

Senior Lead Data Engineer (Enterprise Platforms Technology)

at Discover Financial Services

📍 2 Locations Unknown 💰 $229K – $262K USD / year Posted March 26, 2026
Salary $229K – $262K USD / year
Type Full-Time
Experience senior
Exp. Years 6+ years
Education Bachelor's in Computer Science or related field
Category Data & Analytics

This role involves designing and leading data engineering projects, focusing on big data technologies, cloud platforms, and scalable data solutions within a financial services environment.

  • Designing data pipelines
  • Leading data engineering teams
  • Implementing cloud-based data solutions
  • Optimizing data processing performance
  • Mentoring junior engineers

The technical environment includes Java, Scala, Python, Hadoop, Kafka, Spark, cloud data warehouses like Redshift and Snowflake, and NoSQL databases, with a focus on distributed microservices and full-stack development.

The ideal candidate is a senior data engineer with extensive experience in big data technologies, cloud platforms, and distributed systems. They possess strong leadership skills, mentoring abilities, and a passion for emerging data technologies.

Bachelor's Degreeat least 6 years of application development experienceat least 2 years of big data technologies experience1 year experience with cloud computing (AWSMicrosoft AzureGoogle Cloud)
Master's Degree9+ years of application development including PythonSQLScalaor Java4+ years of experience with a public cloud (AWSMicrosoft AzureGoogle Cloud)5+ years experience with Distributed data/computing tools (MapReduceHadoopHiveEMRKafkaSparkGurobiMySQL)4+ years working on real-time data and streaming applications4+ years of NoSQL implementation (MongoCassandra)4+ years of data warehousing experience (Redshift or Snowflake)4+ years of UNIX/Linux experience including shell scripting2+ years of Agile practices
RedshiftSnowflakeHadoopKafkaSparkMongoDBCassandraAWSMicrosoft AzureGoogle Cloud
JavaScalaPythonHadoopKafkaSparkRedshiftSnowflakeNoSQLUNIX/LinuxShell scriptingAgile
JavaScalaPythonOpen Source RDBMSNoSQL databasesRedshiftSnowflakeMachine LearningDistributed MicroservicesFull Stack DevelopmentCloud ComputingAWSMicrosoft AzureGoogle CloudHadoopKafkaSparkMongoDBCassandraUNIX/LinuxShell scriptingAgile engineering practices
collaborationleadershipmentoringproblem-solvinglearning agilityteamworkcommunication
Industry Financial Services
Job Function Lead data engineering initiatives for enterprise-scale data solutions
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Microsoft 365, Azure, Google Cloud Platform, Hadoop, Kafka, Spark, Python, SQL / PostgreSQL, NoSQL databases
Data Engineerbig datamachine learningdistributed microservicesfull stack developmentJavaScalaPythonRedshiftSnowflakeHadoopKafkaSparkMongoDBCassandraAWSMicrosoft AzureGoogle CloudUnix/LinuxShell scriptingAgilecloud computing

Lack of experience with big data technologies, No cloud computing experience, No relevant degree, Less than 6 years of application development experience

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