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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи очерчены понятно и связаны с современными платформами данных, но в компании-разработчике возможна смена клиентских проектов вместо долгой работы над одним продуктом.
Data Engineer/Architect (Databricks) (Databricks/Apache Spark): Building and evolving client data platforms, ETL/ELT pipelines, and lakehouse architectures that power analytics and machine learning with an accent on Delta Lake, governance, orchestration, and cloud cost optimization. Focus on designing scalable data models, ensuring data quality and observability, and making architectural decisions across high-volume data environments.
Location: Fully remote from anywhere in the U.S.; flexible schedule and minimal bureaucracy.
Company
hirify.global is a global software development services provider delivering AI-driven solutions, cloud services, and data engineering across EdTech, FinTech, and HealthTech.
What you will do
Design and build ETL/ELT pipelines using Databricks and Apache Spark.
Build and maintain Delta Lake bronze, silver, and gold architectures.
Contribute to data governance, access control, metadata management, and data observability, including Unity Catalog.
Optimize Spark performance, manage cloud infrastructure costs, and maintain Databricks Workflows or Airflow orchestration.
Design data models and architectural patterns for analytics and machine learning use cases.
Collaborate with Data Scientists, Analysts, and Product teams; review code and architecture and share technical knowledge.
Requirements
5+ years of experience in Data Engineering, Data Architecture, or a related field.
Hands-on production experience with Databricks and strong command of Apache Spark using PySpark or Scala.
Advanced SQL and experience working with large-scale datasets.
Experience with Delta Lake.
Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
Solid understanding of data modeling, data warehousing, and Lakehouse architecture principles.
Ability to make and communicate sound technical decisions at pipeline or platform level.
Nice to have
Databricks Certified Data Engineer certification at Associate or Professional level.
Experience with Unity Catalog or similar data governance tools.
Experience with streaming data processing, including Structured Streaming or Kafka.
Familiarity with dbt, Airflow, or other orchestration tools.
Exposure to MLOps or supporting ML pipelines, especially in collaboration with a Data Science team.
Experience designing or scaling data platforms in a product company with high-volume data operations.
Experience mentoring engineers or leading technical decisions across a team.
Culture & Benefits
Fully remote work from anywhere in the U.S. with a flexible schedule.
20 business days of covered vacation and 5 additional days off.
Free English classes.
Friendly and supportive working atmosphere.
Option to work remotely or from one of the company offices.
Medical insurance for employees from Ukraine and legal support.
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