Data Analytics Engineer / Security / Los Angeles (Hybrid)

Our client is a fast-growing technology company operating at the intersection of IoT, enterprise software, and real-time data intelligence. Known for fostering a culture of innovation, inclusivity, and collaboration, the organization is modernizing how businesses protect assets, optimize operations, and gain actionable insights from complex data environments. With strong backing and a mission-driven team, the company continues to invest heavily in building scalable, data-driven solutions that have a measurable impact on customers. As part of its growth, the firm is seeking an Analytics Engineer to transform how data is leveraged across its platform. This role combines the technical rigor of data engineering with the practical impact of business intelligence, offering the opportunity to own foundational data models while supporting dashboards and reporting frameworks that power decision-making across product, engineering, and customer-facing teams. You will work closely with both internal stakeholders and clients to design pipelines, optimize analytics frameworks, and extract insights from diverse sources such as IoT telemetry, application logs, and relational databases. This is an ideal role for a data professional who thrives at the intersection of infrastructure and analytics. You will not only architect and maintain scalable data systems but also play a key role in enabling teams to self-serve insights, fostering a strong data culture, and ensuring the company can continue to scale its technological capabilities. Required Skills & Experience • 4+ years in analytics or data engineering with strong SQL and Python skills • Solid grasp of database design, data modeling, and building scalable ETL/ELT pipelines • Hands-on experience with BI/visualization tools (e.g., Tableau, QuickSight, Sigma) • Familiarity with cloud platforms (AWS preferred), data warehouses, and infrastructure-as-code tools • Comfortable working with real-time or high-volume data (IoT, telemetry, streaming) in fast-paced environmentsWhat You Will Be Doing Tech Breakdown • 70% Data Engineering & BI Development (pipelines, transformations, modeling, analytics) • 30% Analysis & Stakeholder Collaboration (dashboards, deep-dives, enablement)Daily Responsibilities • Build and evolve BI and semantic layer datasets powering analytics across the business • Translate requirements into efficient data pipelines, dashboards, and frameworks • Transform and model data from diverse sources including IoT streams and application logs • Conduct deep-dive analyses to improve system performance and product capabilities • Empower teams with training, best practices, and data literacy initiatives • Collaborate cross-functionally to align data solutions with business needsThe Offer • Equity Incentive Plan • Medical, Dental, and Vision Insurance • 401k with Company Match • Generous PTO and family-friendly culture • Opportunity to shape analytics practices within an emerging, high-growth industry Applicants must be currently authorized to work in the US on a full-time basis now and in the future.