✦ Luna Orbit — Data & Analytics

Sr. Software Engineer (Data Engineering-AWS) (Multiple openings) in Charlotte, NC

at U.S. Bancorp

Unknown 💰 $156K – $164K USD / year Posted March 16, 2026
Salary $156K – $164K USD / year
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and implementing data engineering solutions on AWS, migrating legacy systems, and building scalable data pipelines for analytics and reporting.

  • Design data pipelines
  • Build scalable data solutions
  • Migrate legacy systems
  • Ensure data quality and compliance
  • Collaborate with stakeholders

The technical environment includes AWS cloud services, Snowflake, Redshift, Databricks, Kafka, Spark, and ETL frameworks, focusing on cloud-native data solutions.

The ideal candidate is a mid-level data engineer with experience designing and building data pipelines on AWS, familiar with Snowflake, Redshift, and Databricks, and capable of leading cloud migration projects.

AWSSnowflakeRedshiftDatabricksETL frameworksApache KafkaSparkAWS GlueDockerKubernetesAWS IAMAWS CloudWatch
OpenShiftAirflowAWS LambdaAWS Step FunctionsDATADOG
SnowflakeRedshiftDatabricksApache KafkaSparkAWS GlueDockerKubernetesAWS IAMAWS CloudWatchDATADOG
AWSSnowflakeRedshiftDatabricksKafkaSparkETLcloud migrationdata pipelinesreal-time processing
Amazon Web ServicesAWSSnowflakeRedshiftDatabricksApache KafkaSparkAWS GlueETL frameworksAWS LambdaAWS Step FunctionsDockerKubernetesOpenShiftAirflowAWS IAMKMSAWS CloudWatchAWS SNSDATADOG
collaborationleadershipcommunicationproblem-solvingteamwork
Industry Banking
Job Function Developing and maintaining cloud-based data engineering solutions
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Snowflake, Redshift, Databricks, Apache Kafka, Spark
AWSAmazon Web ServicesSnowflakeRedshiftDatabricksApache KafkaSparkETL frameworksAWS GlueDockerKubernetesOpenShiftAirflowAWS IAMKMSAWS CloudWatchAWS SNSDATADOGdata engineeringcloud migrationdata pipelinesreal-time processingbatch processingETL

No experience with AWS or cloud platforms, Lack of data engineering background, No experience with ETL frameworks, No knowledge of Snowflake or Redshift

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