Senior Data Engineer

Job not on LinkedIn

🕒 October 5

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Architect and build foundational data pipeline infrastructure for a decentralized Data Mesh strategy • Support migration from legacy on-premises architecture to a modern Snowflake cloud data platform • Design, build, and maintain scalable batch, real-time streaming, and event-driven pipelines • Own core development of the Snowflake data platform, including performance, modeling, and storage structures • Build transformation pipelines and semantic layers supporting Snowflake and dbt AI features and natural-language interfaces • Establish reference architectures, standard templates, and CI/CD practices for decentralized business teams • Directly manage and mentor one data engineer • Mentor domain data analysts in engineering practices • Drive adoption of dbt and explore AWS and Azure data tooling integrations • Collaborate directly with clients, engineers, and AI specialists to turn emerging technology into measurable business outcomes

🎯 Requirements

• 5–7 years of dedicated data engineering experience • Proven track record of building production-grade data pipelines • Advanced, hands-on experience with Snowflake architecture, performance tuning, and data sharing; strict requirement • Proven experience moving data across hybrid environments from on-premises to cloud using batch, streaming, and event-driven patterns • Experience building or maintaining semantic layers, such as dbt Semantic Layer or Snowflake Cortex/Semantic definitions • Experience structuring data for downstream AI, LLM, or natural language search features • Strong Python skills, particularly in cloud environments • Strong SQL capabilities • Exposure to dbt highly preferred • Experience with Azure data tools, especially Azure Data Factory, a strong plus • Familiarity with AWS data ecosystems nice to have • Collaborative, coaching mindset with passion for teaching, establishing governance, and raising the technical bar for cross-functional teams • Must not require H1B visa sponsorship

🏖️ Benefits

• Equal Opportunity Employer • Direct work with clients, engineers, and AI specialists • Opportunity to help leading financial institutions and other clients adopt AI • Opportunity to teach, facilitate, influence, and help people embrace new ways of working