Data Engineer

Plano, TX, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
12 Months
No Travel Required
On-site
$50 - $55/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Microsoft Azure
  • Data Lake
  • Data Processing
  • Data Quality
  • Data Warehouse
  • Databricks
  • Communication
  • Continuous Delivery
  • Continuous Integration
  • Data Integration
  • Amazon Web Services
  • Orchestration
  • Python
  • Real-time
  • Snow Flake Schema
  • Engineering Support
  • Extract, Transform, Load
  • Migration
  • Optimization
  • Apache Kafka
  • Apache Spark
  • Cloud Computing
  • Docker
  • Git
  • ELT
  • SQL
  • Software Design
  • Stakeholder Management
  • Streaming

Summary

Data Engineer 

Role: Senior Data Engineer
Experience: 12+ Years
Job Type: W2

Job Description:
We are seeking a highly experienced Senior Data Engineer with 12+ years of expertise in designing, developing, and optimizing scalable data platforms, pipelines, and cloud-based data solutions.

Required Skills:

  • 12+ years of experience in Data Engineering
  • Strong expertise in Python, SQL, ETL/ELT
  • Advanced experience with AWS / Azure / Google Cloud Platform
  • Hands-on experience with Snowflake, Databricks, or equivalent cloud data platforms
  • Strong knowledge of data warehousing and dimensional data modeling
  • Experience with Spark / PySpark
  • Expertise in Azure Data Factory / AWS Glue / similar orchestration tools
  • Experience developing batch and real-time data pipelines
  • Strong knowledge of Kafka or other streaming technologies
  • Experience with Data Lake / Data Lakehouse architectures
  • Strong understanding of data quality, validation, governance, and security
  • Experience with CI/CD, Git, Docker, and Kubernetes
  • Performance tuning and optimization of large-scale data workloads
  • Excellent communication and stakeholder-management skills

Key Responsibilities:

  • Design and develop scalable data pipelines and ETL/ELT processes
  • Build and maintain cloud-based data platforms
  • Develop complex SQL queries and optimize data-processing workloads
  • Implement data integration across multiple sources
  • Develop batch and streaming data solutions
  • Design data models, data warehouses, and lakehouse architectures
  • Ensure data quality, reliability, security, and governance
  • Collaborate with architects, analysts, developers, and business stakeholders
  • Troubleshoot production data issues and improve pipeline performance
  • Mentor junior and mid-level data engineers
  • Support modernization and migration of legacy data platforms to cloud environments
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: 10477291
  • Position Id: 9077343
  • Posted 7 hours ago
Contact the job poster
RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC
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