Data Infrastructure Engineer (Remote)

Hire Feed; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Hire Feed seeks a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure in a full-time, remote role. You will collaborate with cross-functional teams to deliver data solutions that support business insights and decision-making.

The role focuses on developing data warehouses/lakes, leveraging cloud platforms, and optimizing performance to enable data-driven decisions in a globally distributed environment.

Qualifications

• Proficiency in SQL and experience with relational and NoSQL databases.
• Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.
• Knowledge of data modeling and warehouse design principles.
• Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.
• Strong problem-solving skills with attention to scalability and performance.

Responsibilities

• Design, develop, and optimize data pipelines to extract, transform, and load large datasets.
• Implement and maintain data warehouses and data lakes to support analytical and operational reporting.
• Collaborate with data scientists and analysts to ensure data accessibility and integrity.
• Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.
• Document data architecture, processes, and standards for team reference and compliance.

Skills

SQL proficiency

Relational and NoSQL databases

Data modeling & warehouse design

Problem solving

Scalability & performance

Tools

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. You will collaborate with cross-functional teams to deliver high-quality data solutions that support business insights and decision-making.

Key Responsibilities:

• Design, develop, and optimize data pipelines to extract, transform, and load large datasets.
• Implement and maintain data warehouses and data lakes to support analytical and operational reporting.
• Collaborate with data scientists and analysts to ensure data accessibility and integrity.
• Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.
• Document data architecture, processes, and standards for team reference and compliance.

Required Skills & Qualifications:

• Proficiency in SQL and experience with relational and NoSQL databases.
• Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.
• Knowledge of data modeling and warehouse design principles.
• Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.
• Strong problem-solving skills with attention to scalability and performance.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences. You will be part of a team that values technical excellence and innovation in data engineering.

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.