Senior Data Engineer

🕒 Setembro 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $133.875 - $178.500 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 18%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Gravie

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2013

🏥 Saúde

🛡️ Seguros

🤝 B2B

💰 $150.000.000 Private Equity Round - Gravie em 2025-05

Healthcare • Insurance • B2B

A Gravie é uma empresa de soluções de benefícios e seguros de saúde que ajuda pequenas e médias empresas, corretores e funcionários a acessar e administrar benefícios de saúde mais flexíveis e acessíveis. Seus principais produtos incluem Comfort (um plano de saúde com financiamento em nível definido), Gravie ICHRA (administração de Arranjo de Reembolso de Saúde para Cobertura Individual), Gravie Pay (suporte para custos de saúde) e Gravie Care. A empresa se concentra em capacitar PMEs a oferecer cobertura individualizada e de menor custo, além de simplificar a administração de benefícios.

Descrição

• Take full-lifecycle ownership of the streaming platform, including architecture, implementation, and production operations • Run the platform in production and own latency/throughput SLOs, monitoring, alerting, replays, per-source backfills, connector-failure recovery, dead-letter triage, and tuning for spiky claims loads • Build and extend streaming pipelines ingesting CDC events from operational databases and SaaS sources into canonical, contract-validated data • Transform and enrich data in Spark using Structured Streaming or dbt-on-Spark micro-batch • Perform cross-stream joins correlating events into unified lifecycle entities • Enable secure, governed access to PHI through classification, row/column controls, and access policies such as ABAC • Design idempotent and replayable pipelines with data-quality validation, runbooks, and observability • Provision streaming, processing, storage, and catalog services on AWS using CDK • Implement CI/CD for data pipelines and right-size infrastructure for cost against latency SLOs • Partner with upstream producers on source changes and contracts • Collaborate with downstream consumers on access and data needs • Work with stakeholders to translate requirements into platform capabilities

🎯 Requisitos

• 6+ years building and operating production data systems • Demonstrated ownership of streaming or event-driven pipelines, including on-call, incident response, SLOs, runbooks, and recovery • Deep production experience with Apache Kafka, including partitioning, consumer groups, consumer-lag and broker-health troubleshooting, exactly-once/idempotent semantics, schema registry, and replay/backfill under load • Strong hands-on Apache Spark experience with PySpark for streaming and batch transformation in production • AWS-native data engineering across streaming, processing, storage, and catalog services, including MSK, EMR, Glue, S3, and Athena • Experience with AWS CDK or Terraform, CI/CD for data pipelines, and cost awareness • Comfort debugging distributed data pipelines, including consumer lag, data skew, backpressure, and late/out-of-order events • Experience with observability tooling such as Datadog or CloudWatch • Expert-level SQL and Python • Experience building and consuming REST APIs • Hands-on use of AI-assisted and agentic development tools • Understanding of agentic data consumption patterns, including context management, lineage, provenance, permissions, freshness, and low-latency access • Experience with CDC technologies such as Debezium and open table formats such as Iceberg or Delta Lake • Knowledge of schema evolution, partitioning, and table maintenance • Experience with data contracts, schema governance, schema registries, compatibility rules, and dead-letter handling • Familiarity with technical metastore/catalog tools such as Glue Data Catalog or Unity Catalog and governance/discovery catalogs such as Atlan, Alation, or Collibra • Degree in Computer Science, Information Systems, or another quantitative field • Comfort with the command line and a Unix-based OS • Health insurance domain knowledge, including HIPAA Protected Health Information and governing access to it • Excellent communication skills and demonstrated success driving results through influence and collaboration • Apache Flink or other stateful stream processor experience is helpful but not required • Knowledge of JVM-based languages such as Kotlin or Java • Familiarity with serving data to AI and agentic consumers • Previous venture-backed startup experience

🏖️ Benefícios

• Alternative medicine coverage • Flexible PTO • Up to 16 weeks paid parental leave • Paid holidays • 401(k) program • Transportation perks • Education reimbursement • 2 days of paid paw-ternity leave • Standard health and wellness benefits