Data engineer for large-scale platforms

AgileEngine, LLC.

United States

Hybrid

USD 120,000 - 180,000

Full time

30 hours ago

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Benefits offered by this job

Mentorship

Tech Talks

Growth roadmaps

USD‑based pay with benefits

Remote/office flexibility

Работа с Fortune 500 клиентами

Job summary

AgileEngine, LLC. ищет Data Engineer для реализации миграций крупной data‑платформы на Snowflake и поддержки надежных рабочих процессов в Apache Airflow. Работа в составе команды data engineering с фокусом на качественные данные и эффективные пайплайны.

Кандидат будет мигрировать около 1 000 наборов данных, адаптировать существующие конвейеры под Snowflake и ускорять инициативы миграций до конца марта 2027 года. Предлагается гибкий график, удаленная и офисная работа.

Qualifications

Условия: мощные навыки Python и SQL; опыт работы с большими данными.
Опыт работы с Snowflake, Airflow, Kafka и Spark/PySpark.
Опыт в AWS S3 и моделировании данных в Snowflake.

Responsibilities

Выполнение миграций на Snowflake и адаптация пайплайнов.
Обеспечение качества данных и надежности процессов.
Поддержка мониторинга и расписаний в Airflow.
Содействие миграциям Airflow и платформам данных.

Skills

Python разработка

Advanced SQL

Airflow

Kafka

Spark / PySpark

Iceberg / Parquet

AWS S3

Testing подходы

Работа с большими данными

Английский уровень B2+

Tools

Snowflake migrations

Airflow migrations

AI инструменты для разработки

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 to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.

Задачи:

Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort. Execute the migration of approximately 1,000 datasets to Snowflake. Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team. Ensure data quality and reliability throughout the migration process. Support workflow scheduling and monitoring in Apache Airflow 3. Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg. Help accelerate the migration initiatives targeted for completion by the end of March 2027.

Требования:

Strong software engineering fundamentals.
3+ years of hands-on Python development experience.
Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.
Snowflake data modeling.
Apache Airflow — developing and testing pipelines in Airflow and Python.
Apache Kafka.
Apache Spark, including hands-on PySpark experience.
Iceberg and Parquet data formats.
AWS experience, particularly S3 (data lakes, partitioning, and lifecycle policies).
Testing strategy experience, with the ability to hands-on debug and test code.
At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.
Overlap until 12 PM Pacific Time.
Upper-intermediate English level.
Будет плюсом: Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).
Experience using AI tools for development

Условия: