Senior Data Engineer – Data Foundations

About Arlo:
At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day.

Overview
We are seeking a Data Engineer with strong analytics and business insight to build trusted metrics, scalable data pipelines, and curated datasets used by both internal teams and external partners. This role focuses on transforming business logic, device telemetry, backend events, and AI-generated signals into trusted, decision-ready data products.
This is not a pure pipeline role. Success requires strong judgment around metric definitions, data quality, and delivering partner-facing data with a customer-obsessed mindset.Key Responsibilities

Data Engineering & Pipelines

• Design and maintain production-grade pipelines ingesting telemetry, backend events, and AI signals.
• Translate legacy BI logic (e.g., Tableau sources) into governed SQL transformations.
• Build ETL / ELT workflows in Databricks and ensure SLA-driven freshness and reliability.

Metrics & Data Modeling

• Partner with the Data Analytics team to define and maintain core product, device, and service metrics.
• Translate business requirements into ‘Bronze layer’ data ingests that support metric definitions through durable data models.
• Build report-ready facts and dimension models and data pipelines to ensure semantic consistency.

Partner & Cross-Functional Collaboration

• Serve as technical contact for our partner data and product teams as required
• Work with Product, BI, AI/ML, Platform, and Finance to align data outputs to business needs.
• Clearly communicate assumptions, risks, and tradeoffs.

Data Quality & Governance

• Own end-to-end data correctness and alerting.
• Implement validation, reconciliation, monitoring, and documentation standards.

Operational Excellence

• Improve pipeline reliability, performance, and maintainability.
• Reduce manual effort and contribute to data engineering best practices.

Required Qualifications

• 4-6+ years of experience as a Data Engineer, Analytics Engineer, or in a similar data-focused role.
  • Advanced degrees can be considered as part of this experience
• Strong proficiency in SQL and experience building analytics-ready data models.
• Hands-on experience with Databricks or similar cloud lakehouse platforms, including strong proficiency with SQL-based transformations.
• Deep understanding of BI and analytics concepts, including metric definitions, dimensional modeling, and report-ready datasets.
• Demonstrated ability to interpret existing reporting logic and translate it into scalable, production-grade pipelines.

Preferred Qualifications

• Experience working with Tableau data sources (TDS/TDSX), published extracts, or equivalent BI artifacts.
• Experience with ETL / orchestration tools such as Databricks Workflows, dbt, Airflow, or similar.
• Familiarity with external or third-party data sharing technologies and requirements (e.g., Delta Sharing / DeltaShare or similar partner data export mechanisms).
• Experience delivering data products to external customers or partners.
• Background in SaaS, subscription, IoT, or consumer electronics environments.

The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD$160,000 - $200,000/year.  However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience.

We’re committed to inclusivity and selecting the strongest candidate—no matter their background. Even if you don’t meet every listed qualification, we encourage you to apply. We’re happy to support growth in areas essential to the role. Interested in learning more about our workplace? Visit and follow our LinkedIn, and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo.

Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to inclusive, and harassment-free workplace. We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment.

We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.