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6 дней назад

Staff Software Engineer - Data Platform

180 000 - 220 000$
Формат работы
hybrid
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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Описание вакансии

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TL;DR
Staff Software Engineer - Data Platform (Data Engineering/AI): Designing and maintaining scalable data pipelines and infrastructure for Harness's AI-powered software delivery platform with an accent on data ingestion, processing, storage, quality, and reliability. Focus on optimizing big data systems, solving complex data-related issues, and guiding junior engineers.

Location: Mountain View, California, United States — hybrid, with 3 days per week onsite

Salary: $180,000–$220,000 USD per year

Company

hirify.global develops an AI-powered software delivery platform that applies automation, governance, and intelligent insights across the software delivery lifecycle.

What you will do

  • Design, build, and maintain scalable data pipelines and infrastructure for data ingestion, processing, and storage.
  • Collaborate with data scientists, analysts, and stakeholders to translate data requirements into reliable solutions.
  • Implement data quality checks and maintain data integrity throughout the data lifecycle.
  • Optimize pipeline performance, troubleshoot data issues, and provide timely resolutions.
  • Document data architecture, processes, and workflows while supporting analytics initiatives.
  • Provide technical guidance to junior team members and apply current data engineering best practices.

Requirements

  • 9+ years of experience as a data engineer or in a similar role.
  • Bachelor's degree in Computer Science, Engineering, or a related field; a master's degree is preferred.
  • Strong experience with data warehousing, ETL/ELT processes, data modeling, SQL, and relational or NoSQL databases.
  • Proficiency in Python, Java, or Scala.
  • Experience with BigQuery, Spark, Kafka, DBT, SQLMesh, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong problem-solving, analytical, communication, and collaboration skills.

Nice to have

  • Experience with Docker and Kubernetes.
  • Knowledge of machine learning techniques and frameworks.
  • Experience with DevOps practices and CI/CD tools.
  • Familiarity with Tableau, Power BI, or Looker.

Culture & Benefits

  • Flexible work schedule.
  • Comprehensive healthcare benefits, including a Flexible Spending Account.
  • Flexible Time Off, parental leave, and an Employee Assistance Program.
  • Monthly internet reimbursement.
  • Monthly, quarterly, and annual social and team-building events.

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