24 часа назад
Senior Data Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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