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24 часа назад

Senior Data Engineer (Robotics)

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
Senior Data Engineer (Robotics): Building and optimizing scalable data pipelines and ingestion workflows across a growing data lake with an accent on data quality, observability, and efficient data processing. Focus on designing validation frameworks, expanding monitoring and alerting, optimizing distributed queries, and enabling reliable customer-facing data products for autonomous construction equipment.

Location: Hybrid in New York, NY or San Francisco, CA; applicants in other locations, especially near an office, may also be considered.

Company

hirify.global deploys autonomous AI systems on heavy construction equipment to improve job-site safety and accelerate critical infrastructure projects.

What you will do

  • Design, build, and maintain scalable data pipelines and ingestion workflows across the data lake.
  • Define and enforce data quality standards, SLOs, validation frameworks, anomaly detection, and lineage tracking.
  • Optimize pipelines, queries, data modeling, partitioning, and compute resource utilization for performance and cost efficiency.
  • Expand monitoring and alerting coverage and support incident response for data pipelines.
  • Enable internal stakeholders to self-serve through documentation, tooling, and hands-on support.
  • Contribute to autonomous systems operating heavy construction equipment.

Requirements

  • 5+ years of experience in data engineering, including large-scale data lake or data warehouse environments.
  • 5+ years of experience with SQL and distributed query engines such as Spark, BigQuery, or Snowflake.
  • Deep proficiency with pipeline orchestration tools such as Airflow or Prefect and transformation frameworks such as Spark.
  • Experience designing data quality frameworks and using observability tooling for monitoring, alerting, and incident response.
  • Experience enabling non-engineering stakeholders to use data infrastructure independently.

Nice to have

  • Hands-on experience with Databricks and Spark.
  • Experience with streaming or near-real-time ingestion patterns.
  • Familiarity with data governance and access control at scale.
  • Experience with customer-facing data products or external SLAs.

Culture & Benefits

  • Work alongside construction specialists and engineers on physical-world AI problems.
  • Flexible roles and consideration for candidates who do not meet every listed criterion.
  • Inclusive workplace with equal employment opportunity.
  • Reasonable accommodations are available throughout the hiring process.

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