Назад
Company hidden
5 часов назад

Staff Data Engineer

197 600 - 296 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/India/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Data Engineer (Python/SQL): Designing and governing the data platform that powers real-time member experiences, analytics, and AI across a HIPAA-compliant healthcare product with an accent on streaming architecture, data contracts, reliability, and platform standards. Focus on leading cross-functional architecture initiatives, solving schema and data-quality challenges, and building reliable batch and real-time systems with Kafka, Flink, Databricks, and AWS.

Location: Hybrid in San Francisco, United States; in-person attendance required three days per week for a full 8-hour business day. Remote days follow core business hours. Occasional off-site or on-site events may occur.

Salary: $197.6K–$296.4K annual salary, plus equity and benefits.

Company

hirify.global uses AI-powered, human-centered technology to scale healthcare delivery for musculoskeletal conditions and improve patient outcomes, experiences, and costs.

What you will do

  • Own the architecture and technical direction of the data platform spanning ingestion, streaming and batch transformation, analytical models, and serving layers.
  • Design systems that process Kafka event streams and transactional database data for real-time APIs, analytics, and ML systems on Databricks.
  • Define data contracts, schema evolution strategies, modeling standards, testing practices, and governance across the platform.
  • Lead complex cross-functional initiatives, resolve producer-consumer data issues, and make architectural decisions balancing reliability, performance, cost, and maintainability.
  • Set reliability standards, define SLAs and SLOs, lead incident response, and improve observability and data quality.
  • Mentor engineers and enable application teams to manage data through compliance guidance, performance tuning, event-driven design, and schema evolution practices.

Requirements

  • Bachelor’s degree or equivalent in Computer Science, Engineering, or a related technical field.
  • At least 4 years of data engineering experience building and operating reliable production data platforms at scale; 8+ years is listed for the Data Platforms track.
  • 4+ years of strong Python and SQL experience.
  • 4+ years with distributed data processing frameworks such as PySpark, Flink, or Spark, plus data warehouse design using star and snowflake schemas.
  • 3+ years deploying and operating cloud pipelines, including CI/CD, monitoring, and incident response.
  • Deep experience with data modeling, governance, data contracts, streaming or event-driven architecture, and mentoring engineers.

Nice to have

  • Experience working in a mid-sized or growth-stage company where foundational platform architecture decisions were required.
  • Strong product and business awareness, with the ability to connect platform architecture to product use cases.

Culture & Benefits

  • Inclusive medical, dental, and vision coverage for employees and family members.
  • Gender-affirming care, family and fertility planning tools, and healthcare travel reimbursements where care is unavailable locally.
  • Traditional or Roth 401(k) options with a 2% company match.
  • Learning and development support through modern life stipends.
  • Discounted company stock through an ESPP and a dog-friendly office environment.

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