Senior AWS Data Engineer : Cary, NC (Onsite)

Cary, NC, US • Posted 1 day ago • Updated 24 minutes ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
Occasional Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Agile
  • Amazon S3
  • Amazon Web Services
  • Apache Airflow
  • Apache Kafka
  • Apache Spark
  • Banking
  • Big Data
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Data Modeling
  • Data Processing
  • Data Quality
  • Data Warehouse
  • Databricks
  • DevOps
  • ELT
  • Extract
  • Transform
  • Load
  • Git
  • Mentorship
  • Orchestration
  • Performance Tuning
  • PySpark
  • Python
  • SQL
  • Scalability
  • Snow Flake Schema
  • Streaming
  • Terraform
  • Workflow

Summary

Senior AWS Data Engineer

Location: Cary, NC (Onsite)

Job Summary

LPL Financial is seeking a Senior AWS Data Engineer to design, develop, and optimize scalable cloud-based data platforms and ETL pipelines using AWS services. The ideal candidate should have extensive experience in big data technologies, cloud engineering, and modern data architectures.

Required Skills

  • 8+ years of Data Engineering experience.
  • 4+ years of hands-on AWS experience.
  • Strong experience with:
    • AWS Glue
    • Amazon S3
    • Amazon Redshift
    • AWS Lambda
    • Amazon EMR
    • Amazon Athena
  • Strong Python and PySpark programming skills.
  • Advanced SQL development experience.
  • Experience building scalable ETL/ELT pipelines.
  • Experience with Spark and distributed data processing.
  • Strong knowledge of Data Lakes and Data Warehousing.
  • Experience with Apache Airflow or other workflow orchestration tools.
  • Experience with Git, CI/CD, and DevOps practices.
  • Understanding of data modelling and performance optimization.
  • Experience working in Agile environments.

Preferred Skills

  • Financial Services or Banking domain experience.
  • Knowledge of Snowflake.
  • Experience with Kafka or streaming technologies.
  • Terraform or CloudFormation experience.
  • Databricks experience is a plus.

Responsibilities

  • Design and develop cloud-native data pipelines on AWS.
  • Build and maintain ETL/ELT workflows.
  • Optimize data processing performance and scalability.
  • Integrate data from multiple enterprise sources.
  • Develop reusable data engineering frameworks.
  • Ensure data quality, security, and governance.
  • Collaborate with Architects, Data Scientists, and Business teams.
  • Troubleshoot production issues and optimize existing pipelines.
  • Participate in code reviews and mentor junior engineers.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10339744
  • Position Id: 9011812
  • Posted 1 day ago
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