Principal Data Engineer

Principal Data Engineer Pay Competitive salary commensurate with experience, with potential bonus incentives. Location 100% Remote Contract: 6 months, potential for perm Summary 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. Requirements • 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 Responsibilities • Design, develop, and optimize robust and scalable data pipelines, ensuring high data quality and performance • Implement DataOps/DevOps 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 Benefits • 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