Senior Data Engineer

🕒 June 22

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nimble Gravity

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Nimble Gravity is a company specializing in AI acceleration and automation services, leveraging cutting-edge data science, generative AI, and digital technologies to transform business challenges into growth opportunities. They provide a comprehensive suite of services, including predictive and prescriptive analytics, digital transformation strategies, software engineering, e-commerce solutions, and CRM optimization, particularly using Salesforce. Nimble Gravity is known for creating AI-powered solutions such as automated generative AI agents and data-driven e-commerce strategies, helping businesses accelerate their digital transformation and improve decision making.

📋 Description

• 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

• 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 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.