Senior Data Engineer – Scalable Pipelines & Cloud-native

Nimble Gravity, LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• 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

Responsibilities

• 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.

Skills

Python

SQL

Databricks/PySpark

dbt

Airflow

Dagster

LLMs / Prompt Engineering

Vector Databases

Knowledge Graphs

Data Engineering

Education

Bachelor's degree in STEM

CS/Math/Physics or related field preferred

Tools

Databricks/PySpark

dbt

Airflow

Dagster

LLMs

Job description

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.