Data Engineer - Infrastructure (Remote)
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Key skills for this role
Role Overview
Data Engineer role supporting a client on a contract basis.
Design, build, and maintain scalable data pipelines and infrastructure.
Support data-driven decision-making and provide reliable, high-quality data for analytical and operational needs.
Key Skills for This Role
Full Job Posting
Role Overview
Data Engineer role supporting a client on a contract basis.
Design, build, and maintain scalable data pipelines and infrastructure.
Support data-driven decision-making and provide reliable, high-quality data for analytical and operational needs.
Location and Work Arrangement
- Remote work from anywhere.
- The source description identifies the role as contract and allows flexible hours.
Compensation
- Payout is $30-$100 per hour.
Key Responsibilities
- Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.
- Implement and maintain ETL/ELT processes for data warehousing and analytics initiatives.
- Ensure data integrity, consistency, and security across all data assets and systems.
- Monitor pipeline performance, troubleshoot issues, and implement improvements for efficiency and reliability.
- Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver high-quality data solutions.
Required Skills and Qualifications
- Experience with SQL, Python, or Scala for data engineering tasks.
- Proficiency with Apache Airflow, Spark, or similar data pipeline frameworks.
- Knowledge of AWS, GCP, or Azure and their data services.
- Familiarity with data modeling, data warehousing concepts, and schema design.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Opportunity Context
The role contributes to modernization of data infrastructure and advanced analytics capabilities.
The opportunity is described as supporting a global software development, technology, information, internet, data infrastructure, and analytics leader.
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