Senior Data Engineer
# Senior Data Engineer **Nimble Gravity** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Pipeline-Engineer]` `[Solutions-Engineer]` `[Data-Platform-Engineer]` `[Senior-Data-Engineering]` `[Senior-Data-Engineer-Jobs]` `[Senior-Data-Engineer-Positions]` --- ### About the Role We are looking for a Data Engineer to build and scale robust data solutions that support critical business needs. This role focuses on developing high-performance pipelines, enabling reliable data transformation, and delivering production-ready systems. The ideal candidate brings strong experience in Python, SQL, Databricks/PySpark, and modern data engineering practices. Primary Responsibilities - Build, scale, and maintain robust data solutions. - Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. - Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments - Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. - Implement rigorous testing and monitoring practices to maintain superior data quality and integrity. Requirements Education & Certificates - A bachelor's degree or higher in a STEM field, required - Concentration in Computer Science, Math, Physics or other engineering related field, preferred Professional Experience - 5+ years of experience in data engineering or a related discipline, with a proven track record of success. Competencies & Attributes - Expertise in Python and SQL, with a strong foundation in data manipulation and analysis. - Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks. - Experience with workflow orchestration tools e.g. Airflow, Dagster - Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases are pluses. - Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses. - Demonstrated experience in designing and implementing complex data systems from the ground up. - Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval. - Excellent communication skills required, both verbal and written. Originally posted on Himalayas
- Data-Engineer
- Data-Pipeline-Engineer
- Solutions-Engineer
- Data-Platform-Engineer
- Senior-Data-Engineering
- Senior-Data-Engineer-Jobs
- Senior-Data-Engineer-Positions
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).