Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of intricate technical projects from inception to completion with minimal guidance, covering design to production.

• Create, develop, and sustain scalable ELT pipelines using dbt in conjunction with a Snowflake data warehouse.

• Optimize Snowflake queries and enhance warehouse performance.

• Develop and manage orchestration workflows utilizing Apache Airflow.

• Implement best practices in dimensional modeling, data warehousing, and analytics engineering.

• Prepare and structure data for contemporary BI tools, primarily Sigma, with some experience in Tableau for embedded, customer-facing reporting.

• Recognize opportunities for automation, process enhancement, and platform modernization.

• Provide mentorship to fellow engineers through code reviews and technical support.

• Actively identify and report risks and performance challenges.

• Contribute to the evolution of the platform's AI/ML data capabilities.

⛳️ Requirements

• Over 7 years of professional data engineering experience, demonstrating a history of managing complex projects with minimal supervision.

• Practical expertise with Snowflake, encompassing performance tuning and contemporary Snowflake features.

• Extensive experience with dbt for building and maintaining production ELT pipelines.

• Familiarity with Apache Airflow or a similar orchestration platform.

• Proficient in Python programming.

• Strong foundation in dimensional modeling, data warehousing, and analytics engineering best practices.

• Comfortable working with modern reporting and visualization tools such as Sigma, Tableau, or Power BI.

• Proven ability to design scalable, maintainable, and well-documented pipelines and models.

• Demonstrated experience in mentoring, with a readiness to review code and elevate the technical skills of junior engineers.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Background checks may be necessary for specific positions/projects.

• All application documents, including the resume, must be submitted in English.

• Preferred: Experience with Snowflake Cortex and/or Snowflake AI certification.

• Preferred: Familiarity with Sigma.

• Preferred: Experience with Tableau, especially for embedded/customer-facing reporting.

• Preferred: Previous experience in a post-acquisition or carve-out data environment.

🏝️ Benefits

• Fully remote work environment.

• Flexible scheduling options.

• Unlimited Paid Time Off (PTO).

• Paid parental and bereavement leave.

• Opportunity to work with globally recognized clients, enhancing your resume.

• Access to a top-tier team for professional learning and growth.