Senior Data Engineer

🕒 Abril 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Machinify

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

☁️ SaaS

💰 $10.000.000 Series A - Machinify em 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

A Machinify é uma empresa de plataforma e serviços de IA focada em saúde que transforma pagamentos e a integridade de pagamentos no setor. Seu sistema operacional de IA unifica reivindicações, prontuários médicos, contratos e políticas, utilizando modelos fundamentais e agentes específicos de tarefas para automatizar e aprimorar a codificação, precisão de pagamentos, recuperações e prevenção de custos. A Machinify atende planos de saúde (incluindo 18 dos 20 maiores), oferece implantações internalizadas, híbridas ou totalmente gerenciadas e enfatiza resultados mensuráveis — relatando mais de 85 clientes, 270 milhões de vidas cobertas e mais de 6 bilhões de dólares em prevenção de custos e recuperações anuais.

Descrição

• Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON). • Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models. • Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance. • Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting. • Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability. • Refactor and scale existing pipelines to meet growing data and business needs. • Tune Spark jobs and optimize distributed processing performance. • Implement schema enforcement and versioning aligned with internal data standards. • Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs. • Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues. • Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation. • Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs. • Help develop and champion internal best practices around pipeline development and data modeling.

🎯 Requisitos

• 6+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines. • Strong expertise in Python, Spark SQL, and Airflow. • Experience processing large-scale file-based datasets (CSV, Parquet, JSON, etc) in production environments. • Experience mapping and standardizing raw external data into canonical models. • Familiarity with AWS (or any cloud), including file storage and distributed compute concepts. • Experience onboarding new customers and integrating external customer data with non-standard formats. • Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision. • Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners. • Comfortable designing pipelines from scratch and improving existing pipelines. • Experience working with large-scale or messy datasets (healthcare, financial, logs, etc.). • Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS. • Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization).

🏖️ Benefícios

• Work from anywhere in the US! Machinify is digital-first. • Full Medical/Dental/Vision for employees & their families • Flexible and trusting environment where you’ll feel empowered to do your best work • Unlimited FTO • Competitive salary, equity, 401(k) including employer match