Staff Data Engineer

Reports to: Director, Data Engineering 

Location: Remote US

Compensation Range: $180,000 to $210,000 base plus bonus and equity

 

What We Do:

Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference.

Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service.

We protect 3M+ endpoints and 1M+ identities worldwide, elevating underresourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting.

What You’ll Do: 

As a Staff Data Engineer at Huntress, you'll be pivotal in shaping and executing our data strategy to fuel company growth. You will architect and lead the development of high-impact data solutions, transforming complex datasets into clear, actionable insights that empower data-driven decision-making across the business. Your focus will be on building and scaling a robust data ecosystem capable of supporting a rapidly evolving, data-centric organization. 

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.

What You Bring To The Team:  

• 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.

What We Offer: 

• 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

  

Huntress is committed to creating a culture of inclusivity where every single membe