Data Engineer - Infrastructure (Remote)

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

• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Data Engineer to work on a Full-Time 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.