Staff Data Engineer

Job Description

G-P is seeking a Staff Data Engineer to lead the design, development, and optimization of its data architecture, pipelines, and workflows. The role involves serving as a technical lead, setting best practices, mentoring team members, and solving complex data challenges to enable data-driven decision-making at scale. The Staff Data Engineer will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to design systems that transform raw data into actionable insights while ensuring scalability, security, and reliability.

Responsibilities:

• Design and implement scalable and reliable data pipelines.
• Define and enforce data engineering best practices.
• Conduct code reviews and provide mentorship.
• Build and maintain batch and real-time data pipelines.
• Ensure data quality, governance, and security.
• Partner with product, analytics, and data science teams.
• Work closely with DevOps and software engineering teams.
• Evaluate and recommend emerging technologies.
• Drive initiatives to improve system performance and scalability.

Requirements:

• 12+ years of experience in data engineering.
• Expertise in designing scalable data architectures.
• Strong programming skills in Python, Scala.
• Experience with Apache Spark, Databricks, Delta Lake.
• Proficiency with relational and NoSQL databases.
• Understanding of ETL/ELT workflows and data lake architectures.
• Knowledge of CI/CD practices.
• Excellent problem-solving skills.
• Background in AI, machine learning pipelines is a plus.

G-P offers:

• Remote-first work environment.
• Opportunity to work with a diverse, global team.