Senior Data Engineer

🔥 1 hour ago

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Climb

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2026

💼 Consulting

🏢 Enterprise

☁️ SaaS

Consulting • Enterprise • SaaS

Climb is the Databricks-native Data & AI consultancy that builds production-grade enterprise AI by focusing on the data foundation, outcome-aligned fixed-scope engagements, and senior delivery teams. They offer Databricks Basecamps—guided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeks—plus solutions, fixed-price projects, and dedicated teams. Climb emphasizes Databricks engineering, governance (Unity Catalog), migrations, AI/ML, next-gen analytics, and agent deployments, with reusable IP (Climb AI Runtime), senior Databricks-certified staff, and measurable KPIs for each engagement.

📋 Description

• Own one or more data engineering workstreams, from technical design through production deployment and handoff. • Design and implement scalable data models and lakehouse architectures, including medallion patterns where appropriate. • Optimize performance and cost across Databricks and the underlying cloud: you treat compute spend as your problem, not someone else's. • Orchestrate workflows using Databricks Workflows, Delta Live Tables, or equivalent tooling. • Implement governance, security, observability, and lineage with Unity Catalog, and stand up CI/CD for data. • Design and build AI-ready data platforms that enable reliable analytics, machine learning, and agentic applications. • Work directly with client stakeholders to gather requirements and translate them into technical solutions. • Review code, mentor junior engineers, and maintain high engineering standards across your workstreams. • Contribute reusable accelerators, frameworks, and best practices back to the practice.

🎯 Requirements

• 6+ years in data engineering or analytics engineering. • Advanced experience building production data pipelines with Apache Spark (PySpark and SQL), including performance optimization. • Hands-on production experience with Databricks (Delta Lake, Jobs, Workflows, Unity Catalog). • Deep experience with at least one major cloud (AWS, Azure, or GCP). • Strong SQL and data modeling fundamentals. • A track record of building and operating production-grade data pipelines, not just prototypes. • Comfortable working directly with client stakeholders to translate business requirements into technical solutions. • Demonstrated ability to independently own a data engineering workstream from design through production.

🏖️ Benefits

• Competitive base salary with performance-based bonuses • MacBook Pro and swag kit so you can do your best work • Comprehensive health, dental, and vision insurance • Generous holidays, flexible PTO, and remote-first work environment • Professional development budget including Databricks and cloud certifications • Spot bonuses for relevant certifications • Conference attendance and thought leadership opportunities • Collaborative, low-ego culture with direct access to leadership • Opportunity to shape a growing practice from the ground floor