Data Engineer

Nimble Gravity, LLC; Stati Uniti; Remoto; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Nimble Gravity, LLC is seeking a Data Engineer to design, build, and scale high-performance data solutions. You will develop robust pipelines, transform data efficiently, and deliver production-ready systems using Python, SQL, Databricks/PySpark, and dbt.

Collaboration with business stakeholders and adherence to modern software practices are essential. The ideal candidate has 5+ years in data engineering, a STEM degree, and strong communication skills.

Competenze

• Bachelor's degree in a STEM field is required
• Concentration in Computer Science, Math, Physics or other engineering related field preferred
• 5+ years of data engineering experience and proven track record

Mansioni

• Build, scale, and maintain robust data solutions.
• Develop high-performance data pipelines for scalability and reliability.
• Champion CI/CD, infrastructure-as-code, containerization, and cloud-native deployments.
• Collaborate with stakeholders to translate use cases into production-ready services.
• Implement testing and monitoring to maintain data quality and integrity.

Conoscenze

Python

SQL

Databricks/PySpark

dbt

Airflow

Dagster

LLMs / Prompt Engineering

Vector Databases

Knowledge Graphs

Data Engineering

Formazione

Bachelor's degree in STEM

CS/Math/Physics or related field preferred

Strumenti

Databricks/PySpark

dbt

Airflow

Dagster

LLMs

Descrizione del lavoro

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 businessstakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
• Implement rigorous testing and monitoring practices tomaintain superior data quality and integrity.

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.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.