Huntress · 15 hours ago
Staff Analytics Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$170K/yr - $200K/yr
7+ years expHuntress is a fully remote cybersecurity company on a mission to break down barriers in the industry. They are seeking a Staff Analytics Engineer to drive the strategy and execution of their data analytics platform, providing technical leadership and mentoring while influencing business strategy in a dynamic startup environment.
Cyber SecurityInformation TechnologySecuritySoftware
Responsibilities
Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud, leveraging AWS, Snowflake, dbt, Fivetran, and other modern technologies
Be the Expert. Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery
Support defining and executing the overarching strategy for the analytics engineering function, including the development and evangelization of data frameworks, standards, and best practices across the organization
Lead efforts in designing, building, and maintaining a robust, governed, and scalable semantic layer to provide consistent and reliable data access for business intelligence and analytics
Spearhead the technical vision and roadmap for data quality and governance, establishing frameworks and processes to ensure data integrity and proactively address systemic issues
Act as a primary technical consultant to senior executives and business stakeholders, translating complex data concepts into actionable insights and strategic recommendations
Mentor, coach, and develop junior and mid-level analytics engineers, fostering a culture of technical excellence, innovation, and continuous learning within the team
Set standards for documentation, conduct advanced peer code reviews, and define comprehensive testing strategies for data solutions
Continuously evaluate and champion new technologies and methodologies to enhance the data and analytics capabilities at Huntress
Qualification
Required
7+ years of progressive experience in analytics engineering, data engineering, or a similar role, with a strong emphasis on architecting and implementing large-scale data solutions
Financial & Go-to-Market Data Experience: Familiarity with data producers supporting Financial, Marketing, and Sales data initiatives and the handling of sensitive PII and board level reporting across a broad stakeholder base
Data Modeling Expertise: Mastery of developing modular and reusable data models to accelerate self-service analytics (e.g. star schemas, snowflake schemas). Experience migrating legacy architectures & data models is a plus
Expert-level proficiency with cloud data warehousing technologies such as Snowflake (preferred), Redshift, or BigQuery
Extensive experience developing and optimizing complex ETL/ELT programs and data pipelines using tools like DBT, Fivetran, Airflow, etc. Expertise in query performance tuning, materialization strategies, and data transformation
Data Visualization: Proficient in building polished dashboards in tools like Looker, Sigma, Tableau
Proficiency with AI Tools: Expertise in prompt engineering and design for LLMs (e.g., GPT) including creating, refining, and optimizing prompts to internal use cases and the end to end process of delivering data products
Demonstrated ownership of full life cycle data analytics development: Strategic Planning, Requirements, Architecture, Design, Testing, Deployment, and Operations
Exceptional presentation, communication, and interpersonal skills, with the ability to articulate complex technical ideas to both technical and non-technical audiences, including C-level executives, and drive consensus
Intermediate to Advanced Python: proficient in data science languages (e.g Python, R) for advanced data manipulation, statistical modeling and ML
Intermediate to Advanced experience with a wide range of Machine Learning and analytical techniques, their real-world advantages/drawbacks, and experience deploying models to production
Strong strategic thinking, problem-solving, and decision-making capabilities
A bachelor's or master's degree in Computer Science, Technology, Engineering, or a related field; or equivalent deep industry experience
Preferred
SaaS experience is a plus
Experience migrating legacy architectures & data models is a plus
Snowflake experience is preferred
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
Company
Huntress
Huntress is the enterprise-grade, people-powered cybersecurity solution for all businesses, not just the 1%.
501-1000 employees
H1B Sponsorship
Huntress has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Late StageTotal Funding
$309.76MKey Investors
Sapphire VenturesCIBC Innovation BankingJMI Equity
2024-06-18Series D· $150M
2023-05-16Series C· $60M
2022-09-07Debt Financing· $40M
Leadership Team
Kyle Hanslovan
CEO & Co-Founder
John Ferrell
Co-Founder
Recent News
2025-12-07
Huntress Labs
2025-11-24
2025-11-23
Company data provided by crunchbase