Data Engineer
Summary
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision-making. The role involves working with ETL/ELT processes, cloud platforms, and data pipeline tools like Apache Airflow and Spark.
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 flexible hours, providing a balance between professional growth and personal flexibility.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.