Data Infrastructure Engineer – Remote

About the role

We are seeking a Data Infrastructure Engineer to design, build, and maintain scalable data pipelines and infrastructure for a global software development leader. This full‑time remote position offers the chance to collaborate with cross‑functional teams and deliver high‑quality data solutions that drive business insights.

Key responsibilities

• Design, develop, and optimise ETL/ELT pipelines for large datasets.
• Implement and maintain data warehouses and data lakes for analytical and operational reporting.
• Work closely with data scientists and analysts to ensure data accessibility, integrity, and usability.
• Monitor pipeline performance, troubleshoot issues, and ensure reliability and efficiency.
• Document data architecture, processes, and standards for compliance and team reference.

Required profile

• Proficiency in SQL and experience with both relational and NoSQL databases.
• Hands‑on experience with ETL/ELT tools such as Airflow or Spark.
• Understanding of data modelling and warehouse design principles.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for data infrastructure.
• Strong problem‑solving mindset with focus on scalability and performance.

Required skills

• SQL
• NoSQL databases
• Airflow
• Spark
• AWS
• Google Cloud Platform (GCP)
• Microsoft Azure

What we offer

• Competitive salary ranging from $140,000 to $180,000 per year.
• Fully remote work from anywhere.
• Opportunity to contribute to data‑driven solutions at a leading software development company.