Data Engineer

We’re looking for a Senior Data Engineer with a Fortune 150 company in Charlotte on a 2 to 3 year hybrid contract. This is a hands-on technical leadership role with real scope, real scale, and a long runway.

What You’ll Own

• Lead design, build, test, and deployment of complex data pipeline components
• Provide technical direction, peer review, and accountability to the dev team
• Build and maintain real-time, event-driven data ingestion streams
• Develop scalable ETL/ELT processes and integrated data quality frameworks
• Collaborate with architects, product owners, and data scientists on key decisions
• Identify data gaps and deliver automated analytical solutions
• Ensure data security, encryption, access controls, and logging standards

Core Technical Stack

• AWS: Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, SQS, CloudWatch
• Languages: Python, Java, Scala, Pandas
• Databases: Redshift, DynamoDB, DocumentDB, MongoDB
• Infrastructure as Code: Terraform
• Nice to have: PySpark, Spark, SQL, Hadoop, CI/CD pipelines, API frameworks, We’re looking for a Senior Data Engineer for a Fortune 150 company in Charlotte on a 2 to 3 year hybrid contract. This is a hands-on technical leadership role with real scope, real scale, and a long runway.

What You’ll Own

• Lead design, build, test, and deployment of complex data pipeline components
• Provide technical direction, peer review, and accountability to the dev team
• Build and maintain real-time, event-driven data ingestion streams
• Develop scalable ETL/ELT processes and integrated data quality frameworks
• Collaborate with architects, product owners, and data scientists on key decisions
• Identify data gaps and deliver automated analytical solutions
• Ensure data security, encryption, access controls, and logging standards

Core Technical Stack

• AWS: Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, SQS, CloudWatch
• Languages: Python, Java, Scala, Pandas
• Databases: Redshift, DynamoDB, DocumentDB, MongoDB
• Infrastructure as Code: Terraform
• Nice to have: PySpark, Spark, SQL, Hadoop, CI/CD pipelines, API frameworks

• 8 to 15 years of data engineering experience
• Proven track record leading teams on complex data products
• Experience migrating on-premise big data platforms to AWS
• Strong communication and stakeholder management skills
• Power Systems or DER Dispatch experience is a strong plus
• Degree in Computer Science, Engineering, or related field