Staff Analytics Engineer
Huntress
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $200,000 per year
Job Level
Lead
Tech Stack
AirflowAmazon RedshiftAWSBigQueryCloudETLGoPythonTableau
About the role
- 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.
Requirements
- 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. SaaS experience is a plus.
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringanalytics engineeringdata modelingETLELTdata visualizationPythonmachine learningdata transformationdata quality
Soft skills
communicationinterpersonal skillsstrategic thinkingproblem-solvingdecision-makingmentoringcoachingpresentation skillstechnical consultingteam leadership