Staff Data Engineer - (Remote - US)

View full description

Requirements:

• 6–10 years of experience in data engineering, data analysis, or software development roles.
• Proficient in SQL and NoSQL databases; strong hands-on experience with Spark/Databricks.
• Skilled in modern data orchestration tools such as Airflow and cloud services like AWS (EC2, S3, Lambda, RDS, IAM).
• Solid experience with web frameworks (Vue.js, React) and RESTful service development.
• Familiarity with serverless architectures and messaging systems (SQS, SNS).
• Bachelor’s degree in Computer Science or related discipline.
• Demonstrated ability to manage complex codebases and deliver projects from design to deployment.

Responsibilities:

• Design and implement scalable data pipelines to support integration across internal systems and third-party platforms.
• Build and maintain data lake solutions using technologies such as Spark and Databricks.
• Develop and manage cloud-based services and web applications to support data access and processing.
• Ensure high data quality and availability standards across the enterprise.
• Collaborate with engineering, analytics, and AI teams to understand data needs and deliver performant solutions.
• Lead or contribute to architectural decisions and technical mentorship within the data team.
• Implement DevOps and agile best practices across the development lifecycle.