Job Title: Data Engineer III Location: Charlotte, NC Job Type: 6-month contract (potential for extension) Position Summary We are seeking a skilled Data Engineer to join our growing Data Applications & Integration team. This role is focused on building and optimizing data pipelines, managing large-scale data storage solutions, and supporting the development of a modern data warehouse architecture. The ideal candidate will have experience working with Amazon Redshift, Apache Parquet, S3-based data lakes, and Apache Iceberg. Familiarity with AI/ML workflows is a plus. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and manage data lake architectures using Amazon S3 and Apache Iceberg. • Work with Apache Parquet file formats to optimize data storage and retrieval. • Build and maintain data warehouse solutions using Amazon Redshift. • Collaborate with data scientists, analysts, and software engineers to ensure data availability and quality. • Implement data governance, security, and quality best practices. • Monitor and troubleshoot data workflows and performance issues. Required Qualifications • 4+ years of experience in data engineering or a related field. • Strong experience with Amazon Redshift, S3, and Apache Parquet. • Hands-on experience with data lake architectures and Apache Iceberg. • Proficiency in SQL and scripting languages such as Python or Bash. • Familiarity with data modeling, warehousing concepts, and performance tuning. • Experience with version control systems (e.g., Git) and CI/CD pipelines. Preferred Qualifications • Exposure to AI/ML workflows or experience supporting data science teams. • Experience with orchestration tools like Apache Airflow or AWS Step Functions. • Knowledge of infrastructure-as-code tools (e.g., Terraform, CloudFormation). • Utilities or energy industry experience is a plus.