- Role
: Data Engineer - Infrastructure (Remote)
- Location
: Remote (Work from Anywhere)
- Job Type:
Contract
- Payout
: $30 - $100/hour

Role Overview:

We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. You will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.

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 to support 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 to enhance efficiency and reliability.

• Collaborate with data scientists, analysts,



and other stakeholders to understand requirements and deliver high-quality data solutions.

Required Skills & 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 (AWS, GCP, Azure) and their data services.

• Familiarity with data modeling, warehousing concepts, and schema design.

• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities. The position allows for remote work with adaptable hours, providing a balance between professional growth and personal flexi

📌 Data Engineer (España)
🏢 Quik Hire Staffing
📍 España