Remote Data Infrastructure Engineer

Hire Feed

United States

Remote

USD 110,000 - 150,000

Full time

35 hours ago
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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

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.

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