✦ Luna Orbit — Data & Analytics

Senior Software Developer

at Intercontinental Exchange

Unknown Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves developing scalable data pipelines and microservices for the mortgage technology platform, leveraging Java/Scala and AWS cloud services.

  • Develop data pipelines
  • Build microservices
  • Work with AWS cloud services
  • Ensure data quality and performance
  • Collaborate with data science teams

The candidate will work with Java, Scala, AWS services, Spark, Kafka, and data processing tools to build and maintain data infrastructure.

The ideal candidate is a senior software developer with at least 5 years of experience in building scalable data pipelines and microservices using Java or Scala, with strong AWS cloud platform knowledge and data processing expertise.

5+ years of building enterprise softwareExperience with Java and/or ScalaBuilding REST microservicesExperience with AWS cloud servicesSpark and Kafka data pipelinesAWS S3KinesisLambdaRDSDynamoDBRedshiftExperience with data stores like MySQLPostgresProven ability to deliver solutions on time
HadoopAWS GlueAWS EMR
JavaScalaSpring BootJPAJDBCAWSSparkKafkaS3KinesisLambdaRDSDynamoDBRedshiftMySQLPostgreSQL
JavaScalaREST microservicesAWSSparkKafkaS3KinesisLambdaRDSDynamoDBRedshiftMySQLPostgreSQLData pipelinesData processingData engineering
JavaScalaObject-oriented designREST APIsMicroservicesAWSSparkKafkaS3KinesisLambdaRDSDynamoDBRedshiftMySQLPostgreSQLData pipelinesData processingData engineering
Analytical thinkingCollaborationCommunicationTeamworkProblem-solvingEnthusiasmPositive working style
Industry Financial Services / Fintech
Job Function Build and maintain scalable data processing systems
JavaScalaREST microservicesAWSSparkKafkaS3KinesisLambdaRDSDynamoDBRedshiftMySQLPostgreSQLData pipelinesData processingData engineeringAWS GlueAWS EMRREST APIs

Less than 5 years of experience, No experience with Java or Scala, Lack of AWS cloud experience, No experience with data pipelines

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