Analytics Engineer

ABOUT US: 

HiveWatch is a tech-forward, inclusive organization fostering the evolution of the physical security industry. We are a diverse team of forward thinkers who empower each other to find creative and collaborative solutions in an industry ripe for modernization. We are passionate about the problems we’re solving for our customers and equally passionate about the company we’re building.  

HiveWatch is here to help security teams pivot from chasing threats to preventing them. We protect organizations, people, and property through the intelligent orchestration of physical security programs. With better communication, more insights, and less “noise”, we are modernizing what it means for businesses and their employees to truly feel safe.

The Role

We're seeking an Analytics Engineer who will be instrumental in transforming how we leverage data across our security platform. This role uniquely combines the technical rigor of analytics engineering with hands-on analysis and visualization work. You'll own the foundational data models that power our insights, while also supporting our Data Analyst on the dashboards and reports that drive decision-making across product, engineering, and customer success teams.

This position is perfect for someone who thrives at the intersection of complex data infrastructure and practical business intelligence, particularly in handling the diverse data streams inherent in security operations—from IoT stream data to application logs and relational databases.

WHAT YOU'LL DO:

• Own and evolve overlaying BI and semantic layer datasets from our OLTP databases that service product analytics, ensuring scalability and performance
• Collaborate directly with both customers and internal stakeholders to translate requirements into optimized pipelines, dashboards, frameworks, and systems that facilitate easier development of data artifacts
• Perform extensive data munging and transformation of non-relational data sources, including IoT stream data, camera telemetry, and application logs
• Conduct deep-dive analyses on camera and device behavior to optimize product performance
• Train teams on how to derive their own insights from data, and contribute to building a strong data culture by advocating best practices and improving data literacy across the company
• Work from our headquarters in El Segundo, CA

REQUIRED QUALIFICATIONS & TRAITS:

• 4+ years of experience in analytics engineering, data engineering, or similar role with strong technical foundations
• Advanced SQL skills for complex data transformation and performance tuning
• Proficiency in Python or similar programming language for data processing and automation
• Proficiency in git, bash, and/or linux CLI
• Experience with database fundamentals such as data modeling, indexing, normalization, denormalization, foreign key constraints, slowly changing dimensions
• Strong experience writing data quality checks and validation frameworks
• Proven ability to work with both technical and non-technical stakeholders
• Self-starter comfortable in a fast-paced environment with high autonomy
• Proficiency in creating compelling reporting and visualization solutions using modern dashboarding tools (QuickSight, Tableau, Sigma, etc.)

STANDOUT QUALIFICATIONS:

• Startup experience
• Has developed BI frameworks from scratch
• Hands-on experience with high-volume, real-time data streams
• Experience building ETL/ELT pipelines and orchestrating workflows
• Experience with AWS ecosystem
• Experience with Terraform 
• Familiarity with modern data warehousing platforms
• Knowledge of streaming data processing and real-time analytics
• Experience with experimentation frameworks and A/B testing methodologies
• Background in device telemetry, camera systems, or edge computing data
• Experience with security operations, surveillance systems, or physical security technology

ADDITIONAL INFO:

• Base salary range for this position is $140,000 - $165,000 USD per year
• Eligible to participate in HiveWatch Equity Incentive Plan

*The final offer will be at the company's sole discretion and determined by multiple factors, including years and depth of relevant experience and expertise, location, and other business considerations.

BENEFITS & CULTURE:

In an effort to provide for our employees, HiveWatch offers a competitive benefits package which includes: 

• Health Benefits: Medical, Vision, Dental and Life Insurance
• Cutting edge solutions in an emerging field with lots of growth potential
• Generous compensation packages
• 401K
• Family friendly & compassionate work culture 
• Work with good people who CARE about making the world a better place

What is CARE? HiveWatch enables its employees to CARE for themselves, and each other through unique programs crafted by HiveWatch employees themselves. To deliver on our mission, we empower our employees to consider the meaning of job security on a holistic level. At HiveWatch, you are encouraged to challenge the status quo, provide your unique point of view, and leave fear at the (access controlled) door. In practicing CARE, we:

• Celebrate our diverse workforce and all communities within HiveWatch. 
• Assist the varying needs of our employees, from maintaining a work life balance to encouraging personal aspirations. 
• Respect one another through our interactions and set personal boundaries.
• Embrace equity through our policies and practices of hiring, promoting, and offering benefits that take care of the whole person, not just the worker. 

OUR EEO STATEMENT: 

At HiveWatch, you are encouraged to challenge the status quo, provide your unique point of view, and leave fear at the (access controlled) door. HiveWatch enables its employees to CARE for themselves and each other through unique programs crafted by HiveWatch employees. 

HiveWatch is an equal opportunity employer and we are committed to cultivating a work environment that supports, inspires, and respects all individuals. We execute our hiring practices so that they are merit-based and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity/expression, marital status, age, disability, medical condition, genetic information, national origin, ancestry, military or veteran status, or other protected characteristic.