Staff Data Engineer

Summary

Join Huntress, a fully remote global cybersecurity company, as a Staff Data Engineer. You will play a key role in shaping and executing the data strategy, architecting and developing high-impact data solutions, and transforming complex datasets into actionable insights. This position requires building and scaling a robust data ecosystem to support a rapidly evolving, data-centric organization. You will collaborate with cross-functional teams, lead technical direction for data architecture, champion data integrity, and drive the implementation of cutting-edge data technologies. Mentorship of other engineers is also expected. Huntress offers a competitive salary, comprehensive benefits, and a supportive remote work environment.

Requirements

• 6-8 years of full-stack data practitioner experience with at least 4 years in a data engineering or architecture role
• Proven track record designing and optimizing production-grade ETL/ELT pipelines that drive business value
• Deep expertise with cloud data platforms, including Snowflake, BigQuery, Redshift, or Databricks
• Strong experience developing, scaling, and administering enterprise dbt implementations
• Advanced Python and SQL proficiency
• Experience operationalizing ML/AI models using Snowpark, AWS Glue, or Databricks MLOps frameworks in production environments
• End-to-end ownership of data analytics projects from requirements gathering through architecture, design, and deployment
• Demonstrated ability to architect data systems that enhance data quality, governance, and stakeholder trust
• Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related technical field

Responsibilities

• Collaborate with cross-functional teams to deliver end-to-end data solutions that translate complex data into actionable business insights
• Architect and drive the development of robust, scalable, and production-grade data platforms and pipelines using modern data technologies, including Snowflake, dbt, Fivetran, and Hightouch
• Lead the technical direction for data architecture, modeling, transformation, and the operationalization of ML/AI models (MLOps/AIOps) to achieve measurable business outcomes
• Champion data integrity and governance by building and deploying data quality frameworks, establishing best practices, and remediating anomalies to foster stakeholder trust
• Drive the evaluation and implementation of cutting-edge data technologies, including Iceberg, Kafka-based streaming platforms, and unified semantic layers to accelerate business insights
• Spearhead data and tool migration initiatives, ensuring seamless transitions and system reliability
• Establish and enforce standards for data documentation, rigorous testing protocols, and collaborative peer review processes
• Mentor and guide other engineers on data engineering best practices and emerging technologies

Benefits

• 100% remote work environment - since our founding in 2015
• Generous paid time off policy, including vacation, sick time, and paid holidays
• 12 weeks of paid parental leave
• Highly competitive and comprehensive medical, dental, and vision benefits plans
• 401(k) with a 5% contribution regardless of employee contribution
• Life and Disability insurance plans
• Stock options for all full-time employees
• One-time $500 reimbursement for building/upgrading home office
• Annual allowance for education and professional development assistance
• $75 USD/month digital reimbursement
• Access to the BetterUp platform for coaching, personal, and professional growth