Senior Data Engineer

2 days ago

Charlotte, NC, United States Strategic Staffing Solutions Full time
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING

Job Title: Senior Data Engineer

Location Charlotte, NC ** On-Site and some remote

Duration 12 months

Role Type: W2 Contract Engagement-No C2C

Overview

We are seeking a highly skilled Senior Data Engineer with deep expertise in AWS Cloud, big data engineering, and AI/ML integration. The ideal candidate has strong programming skills, hands-on experience building large-scale data pipelines, and the ability to work with cloud-native technologies to deliver intelligent data solutions.

Key Responsibilities
  • Design, build, and optimize scalable data pipelines using AWS Glue, Apache Kafka, AWS Lambda, and Step Functions.
  • Develop, enhance, and support data lakes and data warehouses on Amazon S3.
  • Implement Infrastructure as Code (IaC) using CloudFormation Templates (CFT).
  • Collaborate with Data Scientists and ML Engineers to productionize AI/ML models within data workflows.
  • Write clean, reusable, and testable code in Python, SQL, and PySpark.
  • Ensure data quality, security, governance, and compliance across platforms.
  • Monitor, troubleshoot, and improve pipeline performance and reliability.
  • Participate in architectural discussions and contribute to cloud best practices and platform strategy.
Required Skills & Experience
  • 5+ years of Data Engineering experience with strong AWS focus.
  • Proficiency in Python, SQL, and PySpark.
  • Hands-on experience with:
    • AWS Glue
    • Apache Kafka
    • Amazon S3
    • AWS Lambda
    • AWS Step Functions
    • CloudFormation Templates (CFT)
  • Strong understanding of AI/ML concepts and experience integrating models into pipelines.
  • Experience with CI/CD tools and DevOps practices in cloud environments.
  • Strong troubleshooting, analytical thinking, and collaboration skills.
Preferred Qualifications
  • AWS certifications (Data Analytics, Solutions Architect, or equivalent).
  • Experience with containerization and orchestration: Docker, ECS, Airflow, EMR.
  • Knowledge of data governance frameworks and compliance standards.

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