Staff Data Engineer

Job Description

Huntress is seeking a Staff Data Engineer to play a crucial role in shaping and executing its data strategy. The successful candidate will architect and lead the development of high-impact data solutions, transforming complex datasets into actionable insights that empower data-driven decision-making across the business. This role focuses on building and scaling a robust data ecosystem to support a rapidly evolving, data-centric organization.

Responsibilities include:

• Collaborating with cross-functional teams to deliver end-to-end data solutions.
• Architecting and driving the development of scalable data platforms and pipelines.
• Leading the technical direction for data architecture, modeling, and transformation.
• Championing data integrity and governance.
• Driving the evaluation and implementation of cutting-edge data technologies.
• Spearheading data and tool migration initiatives.
• Establishing and enforcing standards for data documentation and testing.
• Mentoring and guiding other engineers on data engineering best practices.

Requirements:

• 6-8 years of full-stack data practitioner experience.
• Proven track record designing and optimizing production-grade ETL/ELT pipelines.
• Deep expertise with cloud data platforms like Snowflake, BigQuery, Redshift, or Databricks.
• Strong experience developing, scaling, and administering enterprise dbt implementations.
• Advanced Python and SQL proficiency.
• Experience operationalizing ML/AI models.
• Bachelor's degree in a related technical field.

What Huntress offers:

• 100% remote work environment.
• Generous paid time off policy.
• 12 weeks of paid parental leave.
• Competitive medical, dental, and vision benefits plans.
• 401(k) with a 5% contribution.
• Stock options for all full-time employees.
• Home office reimbursement.
• Annual allowance for education and professional development.
• Digital reimbursement.
• Access to the BetterUp platform.