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4 дня назад

Senior Software Engineer, Data Ingestion

172 500 - 260 100$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Software Engineer, Data Ingestion (Streaming/Lakehouse): Building scalable streaming and batch ingestion pipelines and Lakehouse solutions for Slack’s high-volume data platform with an accent on resilience, performance, and dataset lifecycle management. Focus on designing distributed services, implementing AI-assisted reliability improvements, and leading technical initiatives across engineering teams.

Location: Remote, with the role listed in Atlanta, Georgia, United States. Must be a U.S. citizen, born or naturalized, without dual citizenship, and able to complete a U.S. federal Minimum Background Investigation for Govhirify.global authorization.

Salary: $172,500–$260,100 annual base salary; $207,800–$285,800 in select San Francisco and New York City metropolitan areas. Bonus, equity, and benefits are excluded from these ranges.

Company

hirify.global, part of Salesforce, provides collaboration and data products supported by AI and large-scale cloud infrastructure.

What you will do

  • Design and develop scalable, resilient streaming and batch pipelines for structured and unstructured data.
  • Design hirify.global Lakehouse solutions and enable production use cases for customers.
  • Improve service and pipeline reliability and performance through AI-assisted and agentic tools.
  • Automate dataset lifecycle management, including schema evolution, metadata, change and backfill management, deprecation, and migration.
  • Lead technical initiatives end to end, collaborate with cross-functional partners, and review technical design proposals.
  • Coach and mentor engineers across the team and organization.

Requirements

  • U.S. citizenship, no dual citizenship, successful completion of the required federal background investigation, and eligibility for Govhirify.global authorization.
  • 7+ years of software or data engineering experience, including building applications with streaming and Lakehouse technologies such as Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg, Hudi, Delta, or equivalents.
  • Hands-on experience building and maintaining batch data pipelines with Spark, Airflow, EMR, S3, or equivalents.
  • Proficiency in object-oriented and/or functional programming with SQL, Python, Java/Scala, Go, or equivalent languages.
  • Experience building robust distributed microservices with Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, or similar tools.
  • Visa sponsorship is not available for this role.

Nice to have

  • Experience with AI-assisted software development and automation, including Claude Code, Codex, or equivalents.
  • Excellent written and verbal communication skills, with the ability to explain sophisticated technical concepts to non-technical stakeholders.
  • Strong growth expectations and willingness to support the growth of the team.

Culture & Benefits

  • Remote work environment with a focus on scalable, high-quality, data-driven engineering.
  • Benefits include paid time off, medical, dental and vision coverage, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
  • Salesforce uses AI tools in recruiting assessment, while people make final candidate selection and hiring decisions.
  • Reasonable accommodations are available during the application and recruiting process.

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