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  • Emplois similaires à : Senior Data Engineer – Data Foundations
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Senior Data Engineer – Data FoundationsArlo Technologies, Inc. • Milpitas, California, United States
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Senior Data Engineer – Data Foundations

Arlo Technologies, Inc.
  • US
    Milpitas, California, United States
  • US
    Milpitas, California, United States
Postuler Maintenant

À propos

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. 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 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. Pay Range
– $160,000 – $200,000 per year, subject to role, experience, and location. Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to an inclusive, 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.
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  • Milpitas, California, United States

Compétences linguistiques

  • English
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