Principal Data Engineer

Overview

Pay:
Competitive salary commensurate with experience, with potential bonus incentives.

Location:

100% Remote

Contract:

6 months, potential for perm

Seeking an experienced Principal Data Engineer to join a dynamic team working on innovative, high-impact data projects. This role involves designing and implementing scalable data pipelines, optimizing data workflows, and collaborating with cross-functional stakeholders to deliver actionable insights. The position offers the opportunity to work with modern cloud-native technologies in a fast-paced, modern tech environment, supporting exciting new projects with a focus on data quality and system reliability.

• 7-10 years of development experience in data engineering
• Degree in Computer Science or a relevant field, or equivalent experience
• Extensive hands-on experience with Python and designing data pipelines
• Proven ability to work with cloud services such as AWS Glue, Lambda, and Step Functions
• Expertise in building and maintaining ETL/ELT workflows and integrating data from various sources, including APIs and non-SQL systems
• Strong understanding of data quality practices and CI/CD deployment pipelines
• Excellent problem-solving skills and the ability to work independently in ambiguous environments
• Preferred:
  Experience with GoLang, Infrastructure as Code tools like Terraform or Pulumi

• Design, develop, and optimize robust and scalable data pipelines, ensuring high data quality and performance
• Implement Data Ops/Dev Ops practices to optimize data workflows and system reliability
• Collaborate with data stakeholders to understand business goals and translate them into technical roadmaps
• Identify opportunities for data-driven improvements and contribute to high-level planning and estimation
• Mentor team members and promote best practices in data engineering
• Troubleshoot and resolve complex data pipeline issues, ensuring consistent, reliable data flows
• Advocate for security, data management, and architecture standards, including automated testing and CI/CD processes
• Work with cross-departmental teams to support long-term data strategies and projects involving large or uncertain scopes

• Opportunity to work with smart, talented colleagues and interesting projects
• Exposure to modern, cloud-native data technologies
• Flexible, remote work environment with a hybrid model available
• Supportive company culture recognized as a Great Place to Work™
• Potential for professional growth and development through challenging projects and mentorship