Remote Data Engineer: Scalable Pipelines & Analytics

Quik Hire Staffing; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Quik Hire Staffing is seeking a Data Engineer for a full-time remote role. You will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision-making across teams.

You will collaborate with data scientists, analysts, and other stakeholders to ensure data reliability, quality, and accessibility for analytical and operational needs, while leveraging cloud services and modern ETL/ELT practices.

Qualifications

• Experience with SQL, Python, or Scala for data engineering tasks.
• Proficiency in data pipeline tools such as Apache Airflow or Spark.
• Knowledge of cloud platforms (AWS, GCP, Azure) and data warehousing concepts.

Responsibilities

• Design, develop, and optimize data pipelines to ingest, transform, and load data.
• Implement 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.

Skills

SQL

Python/Scala

Data pipelines

Cloud platforms

Data modeling & warehousing

Tools

Apache Airflow

Spark

Job description

Quik Hire Staffing is seeking a Data Engineer for a full-time remote role. You will design, build, and maintain scalable data pipelines and infrastructure to support data-driven decision-making across teams.

You will collaborate with data scientists, analysts, and other stakeholders to ensure data reliability, quality, and accessibility for analytical and operational needs, while leveraging cloud services and modern ETL/ELT practices.