Senior Data Engineer

Hybrid in Atlanta, GA, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Conflict Resolution
  • Analytics
  • Apache HTTP Server
  • Apache Spark
  • Data Processing
  • Data Quality
  • Data Warehouse
  • Continuous Integration
  • Data Engineering
  • Data Governance
  • Big Data
  • Cloud Computing
  • Extract, Transform, Load
  • Collaboration
  • Computer Science
  • Microsoft Azure
  • Good Clinical Practice
  • Google Cloud Platform
  • Informatica
  • Amazon Redshift
  • Amazon Web Services
  • Analytical Skill
  • ELT
  • Microsoft SSIS
  • Problem Solving
  • Reporting
  • SQL
  • Snow Flake Schema
  • Talend
  • Workflow

Summary

Senior Data Engineer (10+ Years)

Job Title: Senior Data Engineer
Employment Type: Contract
Experience: 10+ Years

Job Summary

We are seeking an experienced Senior Data Engineer with 10+ years of expertise in designing, building, and optimizing scalable data pipelines and cloud-based data platforms. The ideal candidate should have strong experience in ETL/ELT, data warehousing, big data technologies, and cloud services.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Build and optimize ETL/ELT workflows.
  • Develop data models and data warehouse solutions.
  • Integrate data from multiple sources and ensure data quality.
  • Optimize SQL queries and data processing performance.
  • Collaborate with cross-functional teams to support analytics and reporting.
  • Implement data governance, security, and best practices.

Required Skills

  • Python, SQL
  • Apache Spark / PySpark
  • ETL Tools (Informatica, Talend, SSIS, or similar)
  • Data Warehousing (Snowflake, Redshift, BigQuery, Synapse)
  • Cloud Platforms (AWS, Azure, or Google Cloud Platform)
  • Apache Airflow
  • Git and CI/CD
  • Excellent analytical and problem-solving skills

Qualifications

  • Bachelor''s or Master''s degree in Computer Science, Engineering, or a related field.
  • 10+ years of hands-on experience in Data Engineering.
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: 9017099
  • Posted 1 hour ago
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