✦ Luna Orbit — Data & Analytics

Lead III, Software Engineer

at S&P Global

📍 2 Locations Unknown 💰 $142K – $215K USD / year Posted March 13, 2026
Salary $142K – $215K USD / year
Type Full-Time
Experience lead
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves leading data engineering projects focused on large-scale, real-time financial data processing using big data technologies and cloud infrastructure.

  • Design data pipelines
  • Implement real-time streaming
  • Optimize cloud infrastructure
  • Collaborate on data architecture
  • Lead data engineering projects

Utilizes Python, Java, Scala, Apache Spark, Hadoop, Kafka, and cloud platforms like AWS, Azure, GCP, with containerization tools such as Docker and Kubernetes, supporting scalable data pipelines.

The ideal candidate is a lead data engineer with over 3 years of experience in big data frameworks, cloud platforms, and containerization. They possess strong programming skills in Python, Java, or Scala and have experience working with financial data and real-time streaming.

3+ years in data engineering or related rolesProficiency in PythonJavaor ScalaExperience with big data frameworks (Apache SparkHadoopKafka)Strong SQL knowledgeExperience with cloud platforms (AWSAzureGCP)Knowledge of containerization (DockerKubernetes)
Experience with financial markets dataKnowledge of container orchestrationReal-time data streaming frameworksInfrastructure as Code tools
Apache SparkHadoopKafkaAWSAzureGoogle Cloud PlatformDockerKubernetesOpenShiftApache StormApache Flink
PythonJavaScalaApache SparkHadoopKafkaSQLPostgreSQLMongoDBCassandraAWSAzureGoogle Cloud PlatformDockerKubernetesOpenShiftApache StormApache FlinkInfrastructure as Code
PythonJavaScalaApache SparkHadoopKafkaSQLPostgreSQLMongoDBCassandraAWSAzureGoogle Cloud PlatformDockerKubernetesOpenShiftApache StormApache FlinkInfrastructure as Code
CollaborationProblem-solvingAnalytical SkillsTeam LeadershipCommunication
Industry Financial Services / Data Engineering
Job Function Data engineering and big data processing in financial markets
PythonJavaScalaApache SparkHadoopKafkaSQLPostgreSQLMongoDBCassandraAWSAzureGoogle Cloud PlatformDockerKubernetesOpenShiftApache StormApache FlinkInfrastructure as Code

Less than 3 years in data engineering roles, Lack of experience with big data frameworks, No experience with cloud platforms or containerization

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