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22 часа назад

Staff Software Engineer (Data Engineering)

176 000 - 253 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer (Data Engineering): Leading the design and development of production data platforms that power machine learning across the organization with an accent on scalable feature engineering and reliable data pipelines. Focus on building reusable datasets, mentoring engineering teams, and ensuring high-quality data foundations for model training and production inference.

Location: Must be based in the USA

Salary: $176,000 – $253,000 (based on geographic zone)

Company

hirify.global is a virtual-first healthcare provider using human-led care and AI-enabled technology to treat chronic conditions like diabetes and hypertension.

What you will do

  • Design and build reusable feature datasets to support personalization, engagement, and risk prediction models.
  • Partner with Data Scientists and AI Engineers to translate modeling requirements into production-ready pipelines.
  • Lead architecture discussions for large-scale ML data systems and drive adoption of reusable patterns.
  • Optimize distributed data processing for performance, scalability, and cost-efficiency.
  • Establish engineering standards for data quality, testing, observability, and documentation.
  • Mentor engineers on distributed data processing and software engineering best practices.

Requirements

  • 8+ years of experience building large-scale production data platforms and distributed pipelines.
  • Must be based in the USA.
  • Expert SQL skills and strong experience with Python, Java, or Scala.
  • Proven experience with cloud-native data platforms (AWS) and distributed compute frameworks like Spark.
  • Experience leading cross-team technical initiatives and influencing engineering direction.
  • Strong understanding of ML data lifecycle, feature stores, and MLOps workflows.

Nice to have

  • Experience with healthcare, behavioral, or large-scale event data.
  • Familiarity with Lakehouse architectures (Databricks, Iceberg).
  • Experience with streaming technologies (Kafka, Flink).
  • Background in personalization, recommendation, or predictive modeling systems.

Culture & Benefits

  • Remote-first work culture.
  • Competitive salary with annual cash bonus and equity grants.
  • Comprehensive health, dental, and vision insurance.
  • 401k retirement savings plan with employer contributions.
  • Flexible Time Off and generous parental leave.
  • Lifestyle Spending Account and mental health support solutions.

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