Data Engineer - Infrastructure (Remote)
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Key skills for this role
Role Overview
Contract data engineering role focused on scalable data pipelines and infrastructure.
The role supports data reliability, quality, accessibility, and data-driven decision-making for analytical and operational needs.
Key Skills for This Role
Full Job Posting
Role Overview
Contract data engineering role focused on scalable data pipelines and infrastructure.
The role supports data reliability, quality, accessibility, and data-driven decision-making for analytical and operational needs.
Compensation
- Payout is $30–$100 per hour.
Workplace
- Remote work from anywhere with flexible hours.
Key Responsibilities
- Design, develop, and optimize data pipelines that ingest, transform, and load data into target systems.
- Implement and maintain ETL/ELT processes for data warehousing and analytics initiatives.
- Ensure data integrity, consistency, and security across data assets and systems.
- Monitor pipeline performance and troubleshoot operational issues.
- Implement improvements to enhance pipeline efficiency and reliability.
- Collaborate with data scientists, analysts, and stakeholders to understand requirements.
- Deliver high-quality data solutions for analytical and operational needs.
Required Skills and Qualifications
- Experience with SQL, Python, or Scala for data engineering tasks.
- Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.
- Knowledge of cloud platforms such as 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.
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