Senior Data Engineer

🕒 Setembro 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $115.000 - $143.800 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 10%

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eHealth, Inc.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1997

💼 Consultoria

🏥 Saúde

📦 Logística

💰 Post-IPO Equity em 2021-01

Consulting • Healthcare • Logistics

A eHealth, Inc. é uma empresa de tecnologia e serviços que conecta indivíduos a planos e serviços de saúde. A empresa oferece uma plataforma que ajuda os consumidores a encontrar, comparar e se inscrever em planos de seguro saúde, incluindo Medicare, seguro saúde individual e familiar, seguro saúde para pequenas empresas e planos auxiliares. A eHealth também oferece serviços de consultoria para ajudar a guiar os clientes através do complexo processo de escolha do plano certo para suas necessidades.

Descrição

• Serve as a subject-matter expert on the data ecosystem, including internal systems and third-party data sources • Guide architectural decisions across teams • Architect, build, and maintain scalable data pipelines and real-time streaming architectures • Design and drive adoption of workflow automation and orchestration standards • Lead technical design for production-grade ML pipelines and APIs serving model predictions • Leverage AI-assisted development tools to accelerate pipeline development, code review, and testing • Establish team norms for effective and responsible use of AI-assisted development tools • Own data quality, observability, lineage, and governance strategy • Define monitoring, alerting, and metadata tracking best practices • Drive logical and physical data modeling efforts and schema design decisions • Partner with DevOps and infrastructure teams on platform architecture, performance optimization, and security/compliance strategy • Mentor junior and mid-level data engineers through code review, technical guidance, and knowledge-sharing • Evaluate emerging data tools and technologies • Make build-vs-buy and adoption recommendations to engineering leadership • Demonstrate eHealth's values in behaviors, practices, and decisions

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field • 5+ years of related data engineering experience with a Bachelor's degree; 3+ years with a Master's degree; or an equivalent combination of education and relevant experience • Expert-level SQL for complex query development, optimization, and performance tuning across large datasets • Strong programming skills in Python or Scala • Deep experience in CI/CD, git workflows, testing, and code review • Proven experience architecting solutions on a cloud-native data platform such as Snowflake, BigQuery, Redshift, or Databricks • Deep working knowledge of modern ETL/ELT frameworks such as dbt, Spark, Informatica, or Matillion • Experience with NoSQL databases such as MongoDB, Cassandra, or Hive • Substantial experience with cloud platforms, preferably AWS, including S3, Glue, Lambda, Redshift, and EMR • Strong command of data modeling, data governance, and security principles • Demonstrated experience mentoring engineers and/or leading technical initiatives • Excellent communication skills and ability to influence cross-functional stakeholders and technical direction • Preferred: hands-on experience with Databricks and Delta Lake • Preferred: deep knowledge of event-driven architectures and tools such as Kafka and Kinesis • Preferred: experience designing RESTful APIs for data delivery and ML model serving • Preferred: experience with Docker and Kubernetes in production • Preferred: visualization experience with Tableau, Power BI, or Looker • Preferred: exposure to healthcare or health tech, including EHR, claims data, or call center analytics • Preferred: experience in regulated environments such as HIPAA or SOC 2 • Preferred: track record of driving automation, data observability, and proactive monitoring initiatives

🏖️ Benefícios

• Medical, dental and vision beginning on your first day of employment • 401K with matching • Tuition reimbursement • Employee stock purchase program • 12 company paid holidays • Flexible time off (PTO for non-exempt) • Annual performance bonus • Benefits designed to support employees’ personal and professional wellness