Data Engineer

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NuView Treatment Center

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1 - 10 funcionários

⚕️ Seguro de Saúde

Healthcare Insurance • Mental Health • Addiction Treatment

O NuView Treatment Center é uma instalação de reabilitação holística localizada em Los Angeles, especializada em tratamentos baseados em evidências para transtornos de uso de substâncias e problemas de saúde mental. O centro oferece uma gama de programas, incluindo Programas Intensivos Ambulatoriais (IOP), Programas de Hospitalização Parcial (PHP) e serviços de telessaúde, projetados para apoiar indivíduos em sua jornada de recuperação. Com foco em cuidados personalizados, o NuView integra várias abordagens terapêuticas e oferece suporte médico abrangente para ajudar os clientes a alcançar mudanças duradouras e bem-estar emocional.

Descrição

• Design, build, and maintain scalable data pipelines for clients across industries • Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms • Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff • Work fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolset • Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled • Champion data quality, testing, and observability best practices across client engagements • Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term • Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members • Research and evaluate new technologies and advocate for tooling investments that benefit the firm • Train and mentor junior team members on engineering standards, pipeline design, and best practices • Participate in client-facing communication, including requirements gathering and progress updates • Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization.

🎯 Requisitos

• Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field • 2–5 years of relevant data engineering or software engineering experience • SQL Expert: complex query authoring, query optimization, stored procedures • Python Required: pipeline scripting, automation, data processing • Transformation Tools: dbt required; Spark experience a plus • Ingestion Tools: Fivetran, Airbyte, Rivery, Microsoft Fabric Data Factory, or similar • Orchestration: Airflow, Prefect, Azure Data Factory, Microsoft Fabric, or equivalent • Cloud Platforms: Azure (preferred), AWS, or GCP experience • Data Warehouses: Snowflake, BigQuery, Redshift, Microsoft Fabric, Azure Synapse, or equivalent • Version Control: Git required; branching strategies, pull requests, and code review workflows • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders • Self-starter who thrives in a remote environment and can manage multiple client workstreams • Player-coach mindset: capable of leading projects while growing junior teammates