Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Emerging Products) (Kafka/Spark/Iceberg/Databricks): Building and scaling lakehouse architectures with streaming and batch pipelines that deliver reliable data to analytics and data science workloads with an accent on Medallion-layer design, open table formats, and distributed data processing. Focus on optimizing large-scale query engines, solving pipeline reliability and data quality challenges, and enabling self-serve analytics.
Location: Remote from home within the USA, limited to CA, CO, CT, FL, GA, IL, KS, MA, MD, ME, NJ, NC, NY, OH, OR, TN, TX, VA, and WA; hybrid work is available from offices in Austin, TX or Tampa, FL. Chicago city limits are excluded. Onsite interviews may be required.
Base salary: $140,000–$200,000 USD annually.
Company
hirify.global provides a Unified IT Operations Platform for endpoint management, patching, backup, remote access, and IT operations for nearly 40,000 customers in 140+ countries.
What you will do
Design and implement Bronze, Silver, and Gold Medallion-layer lakehouse architectures.
Build and maintain scalable Kafka, Spark, and Airflow streaming and batch pipelines.
Manage Iceberg, Delta Lake, and Hudi table formats and select suitable formats for different workloads.
Optimize large-scale analytics queries in Trino/Starburst and Databricks environments.
Monitor pipeline health, troubleshoot data quality and performance issues, and improve platform reliability.
Partner with data scientists, analysts, and product teams to deliver data platform solutions.
Requirements
10+ years of data engineering experience focused on data platforms and distributed systems.
Hands-on experience building and managing lakehouse architectures with Medallion layering.
Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for streaming and batch pipelines.
Proficiency with Iceberg, Delta Lake, or Hudi, including evaluating trade-offs and selecting formats for workloads.
Experience with Databricks for large-scale data processing and analytics.
Strong proficiency in Python and SQL.
Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
Must be a U.S. citizen or lawful permanent resident; visa sponsorship is not available.
Nice to have
Hands-on experience with Trino or Starburst for distributed query execution.
Familiarity with hybrid streaming/batch architectures and event-driven data systems.
Experience designing Gold-layer datasets for business intelligence and self-serve analytics.
Culture & Benefits
Collaborative, kind, and curious working environment.
Full-time hybrid-remote flexibility.
Medical, dental, vision, life insurance, 401(k), and PTO, including unlimited PTO.
Opportunities for growth and advancement.
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