✦ Luna Orbit — Data & Analytics

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

at U.S. Bank

📍 Charlotte, NC Unknown Posted March 16, 2026
Apply Now → ← Browse All Jobs

Position Details

Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

About this role

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

Key Responsibilities

  • Designing data pipelines
  • Migrating legacy systems
  • Ensuring data security and compliance
  • Optimizing data performance
  • Mentoring junior engineers

Technical Overview

The technical environment includes AWS cloud services, Snowflake Data Warehouse, Databricks, Apache Kafka, Spark, and containerization tools like Docker and Kubernetes, focusing on data migration, pipeline development, and cloud-native architecture.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 3+ years of experience in cloud data platforms, specifically AWS, Snowflake, and Databricks. They possess strong skills in data migration, pipeline development, and cloud-native solutions, with leadership qualities to mentor junior engineers.

Must-Have Skills

AWSSnowflakeRedshiftDatabricksETLData pipelinesCloud migrationData modelingData securityKubernetesDockerApache KafkaSpark

Nice-to-Have Skills

CI/CD pipelinesContainerizationAWS LambdaAWS Step FunctionsData governanceFinancial industry standardsData lineageCompliance standards

Tools & Platforms

AWSSnowflakeRedshiftDatabricksApache KafkaSparkAWS GlueDockerKubernetesOpenShiftAirflowAWS Step FunctionsAWS IAMKMSAWS CloudWatchAWS SNSDATADOG

Required Skills

AWSSnowflakeRedshiftDatabricksETLData pipelinesCloud migrationData modelingData securityKubernetesDockerApache KafkaSpark

Hard Skills

Amazon Web ServicesAWSSnowflakeRedshiftDatabricksApache KafkaSparkAWS GlueETLDockerKubernetesOpenShiftAirflowAWS Step FunctionsAWS IAMKMSAWS CloudWatchAWS SNSDATADOGSQLData pipelinesData migrationData modelingData warehousing

Soft Skills

communicationleadershipcollaborationproblem-solvingmentoringtechnical leadership

Industry & Role

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, ETL

Keywords for Your Resume

AWSAmazon Web ServicesSnowflakeRedshiftDatabricksApache KafkaSparkETLData pipelinesCloud migrationData modelingData warehousingKubernetesDockerAirflowAWS GlueAWS Step FunctionsAWS IAMKMSAWS CloudWatchDATADOGData securityData governanceData lineageFinancial industry standardsETL pipelinesData migration

Deal Breakers

Lack of experience with AWS or cloud platforms, No experience with data migration or ETL pipelines, No knowledge of data security standards, Less than 2 years of relevant experience

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile