Data Engineer

Gravity Hair Salon, LLC
Charlotte, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 175K

Job location

Charlotte, United States of America

Tech stack

Java
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Databases
Continuous Integration
Information Engineering
ETL
Data Security
Amazon DynamoDB
Hadoop
Python
MongoDB
Scala
Amazon Web Services (AWS)
SQL Databases
Data Logging
Data Ingestion
Spark
Pandas
PySpark
Information Technology
Cloudwatch
Amazon Web Services (AWS)
Terraform
Data Pipelines

Job description

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

Requirements

  • 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

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