Data Engineer – Databricks

Job not on LinkedIn

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $120k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Livefront

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2001

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

💰 Private equity on 2023-10

Consulting • Artificial Intelligence • B2B

Livefront is a digital product and engineering consultancy that builds AI-first products, platforms, and intelligent agents for enterprise clients. The firm combines strategy, product design, AI & automation, digital engineering, and data & analytics in a co-creative model (called MESH) to accelerate digital transformation and ship customer-facing software from discovery through scale. Livefront highlights work across healthcare, retail, automotive, and large enterprises—delivering AI companions, revenue-optimization agents, conversational/LLM integrations, platform engineering, and modern data pipelines to improve product outcomes and operational efficiency. The company positions itself as a partner-first, B2B services provider focused on measurable business impact.

📋 Description

• Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming • Architect and implement Lakehouse solutions on Databricks • Build and maintain Databricks transformation layers • Design and maintain the data and AI foundations that power production ML • Collaborate with product and backend engineers to design data models • Consult with clients to understand their data challenges

🎯 Requirements

• 3-5 years of data engineering experience with at least 2 years in production Databricks environments • Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments • Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming • Proven experience designing Lakehouse architectures • Hands-on experience with data pipeline testing, observability, and CI/CD for data • Strong proficiency in SQL and Python • Understanding of data modeling, schema design, and query optimization • Excellent communication skills with the ability to explain complex data concepts

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development