Data Engineer
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Job Description
Data Engineer building scalable Python, SQL, and Databricks pipelines for Nimble Gravity. Delivering production-ready data systems with modern cloud-native engineering practices.
Responsibilities:
- Build, scale, and maintain robust data solutions
- Implement and optimize high-performance data pipelines for extraction, loading, transformation, and orchestration
- Apply CI/CD, infrastructure-as-code, containerization, and cloud-native deployment practices
- Collaborate with business stakeholders to transform use cases into production-ready services and solutions
- Own systems from concept through production
- Implement rigorous testing and monitoring practices to maintain data quality and integrity
Requirements:
- A bachelor's degree or higher in a STEM field, required
- Concentration in Computer Science, Math, Physics or other engineering related field, preferred
- 5+ years of experience in data engineering or a related discipline, with a proven track record of success
- 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 with large language models (LLMs), especially prompt engineering, retrieval-augmented generation (RAG), 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 verbal and written communication skills required
Benefits:
- Equal Opportunity Employer policy
- Remote work arrangement for LATAM-based employees
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