Data engineer

AgileEngine, LLC.; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Mentorship program

Tech Talks

Growth roadmap

Remote and office options

Job summary

AgileEngine ищет Data Engineer с опытом Databricks и GCP для разработки и продюсирования масштабируемых ETL/ELT пайплайнов и агентной автоматизации процессов обработки данных. Вакансия предполагает работу с Databricks, PySpark, SQL, Delta Lake и BigQuery в гибридном формате.

Требуется 5+ лет hands-on опыта, знание современных архитектур lakehouse и способность работать в кросс-функциональных командах. Официально предлагается гибкий график и удаленные/офисные опции.

Qualifications

• 5+ лет опыта hands-on с Databricks и PySpark
• Продвинутые навыки SQL и обработки данных
• Опыт работы с GCP, особенно BigQuery
• Опыт работы с Delta Lake и архитектурами lakehouse
• Опыт разработки надежных, масштабируемых данных-решений

Responsibilities

• Проектирование, разработка и оптимизация масштабируемых ETL/ELT пайплайнов с использованием Databricks, PySpark и SQL
• Разработка и внедрение агентируемых рабочих процессов для автоматизации обработки данных
• Интеграция агентных возможностей с Databricks, GCP, BigQuery и Delta Lake
• Разработка пайплайнов и решений для поддержки новых бизнес-требований
• Создание повторно используемых каркасов и компонентов для разных сценариев использования данных
• Реализация проверок качества данных, мониторинга и контроляproduction
• Оптимизация нагрузок PySpark и SQL по производительности и надёжности
• Поддержка тестирования, деплоймента и дальнейшего улучшения решений
• Устойчивое устранение сложных проблем с данными и продакшеном
• Сотрудничество с бизнесом и командами платформы для поиска новых автоматизационных возможностей

Skills

Databricks

PySpark

SQL

GCP

Delta Lake

Data engineering

Tools

BigQuery

Delta Lake

Job description

Описание: AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

Задачи:

• Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
• Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements and datasets.
• Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.
• Implement data quality checks, monitoring, validation, exception handling, and production controls.
• Optimize PySpark and SQL workloads for performance, reliability, and scalability.
• Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
• Troubleshoot complex data and production issues and implement sustainable solutions.
• Collaborate with business, data engineering, and platform teams to identify further automation opportunities.

Требования:

• 5+ years of strong hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• Hands-on experience with GCP, particularly BigQuery.
• Experience with Delta Lake and modern data lake/lakehouse architectures.Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience building reliable, scalable, production-grade data solutions.
• Strong analytical and troubleshooting skills.Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.
• Upper-intermediate English level.
• Будет плюсом: Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions; Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes; Familiarity with orchestration and automation frameworks; Experience developing reusable data engineering frameworks and platform components; Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight

Условия:

• Mentorship, TechTalks, and personalized growth roadmaps.
• USD-based pay with education, fitness, and team activity budgets.
• Modern solutions with Fortune 500 and top product companies.
• Flexible schedule with remote and office options.