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8 дней назад

Staff Software Engineer (Data Engineering)

137 300 - 251 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Staff Software Engineer (Data Engineering): Building scalable data pipelines, APIs, and backend infrastructure for the Ventura OS connected TV platform with an accent on Apache Spark, large-scale data processing, and content metadata management. Focus on integrating machine learning models, designing distributed data systems, and ensuring pipeline quality, observability, and reliability.

Location: Bellevue, United States

Base salary: $137,300–$251,800 USD per year

Company

hirify.global is a global technology company operating an independent digital advertising platform and developing technology for connected TV and streaming.

What you will do

  • Design, build, and maintain data pipelines for content catalog data in the Ventura OS project.
  • Develop high-performance workflows for large-scale data processing using technologies such as Apache Spark.
  • Create secure APIs and scalable integrations connecting data sources and destinations.
  • Collaborate with data scientists to deploy machine learning models and algorithms in production.
  • Implement monitoring, observability, data quality checks, error handling, and recovery mechanisms.
  • Contribute to data infrastructure architecture and translate cross-functional requirements into technical solutions.

Requirements

  • 7+ years of software development experience, including at least 5 years in data engineering or pipeline development.
  • Extensive experience with data warehouses such as Vertica, Snowflake, or Databricks.
  • Strong knowledge of distributed systems, data processing frameworks, data governance, data quality, and data modeling.
  • Professional experience with Java, Scala, or Python and big data technologies such as Apache Spark and Kafka.
  • Experience with relational and NoSQL databases, cloud platforms such as AWS, GCP, or Azure, and Kubernetes.
  • Ability to lead technically ambiguous projects, mentor peers, and communicate with technical and non-technical stakeholders; a degree in Computer Science, Engineering, or equivalent industry experience.

Nice to have

  • Experience with machine learning pipelines and MLOps for personalization, recommendations, ad tech, e-commerce, streaming, or TVOS.
  • Experience with content metadata, entertainment catalogs, taxonomy structures, content discovery, recommendation systems, or search technologies.

Culture & Benefits

  • Collaborative, innovative environment with opportunities for continuous learning and direct engineering influence on product direction.
  • Comprehensive medical, dental, and vision coverage with premiums paid for employees and dependents.
  • 401(k) plan with company match, disability coverage, life insurance, and well-being benefits.
  • Paid vacation, sick time, around 13 paid holidays, parental leave, and tuition reimbursement for eligible expenses.
  • Stock-based compensation eligibility and an employee stock purchase plan with discounted company stock.

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