[Remote] Staff Data Engineer, Data Platform Core (AI Native)

Note: The job is a remote job and is open to candidates in USA. Life360 is hiring a Staff Data Engineer to scale and operate its data infrastructure, including high-volume streaming and batch pipelines that deliver reliable datasets in Databricks. The role also supports data teams and users through platform tooling, natural-language data chatbots, and AI-assisted engineering workflows.

Responsibilities

• Design and manage scalable data platforms powering real-time analytics, batch processing, and exploratory analysis, using AI-assisted development as the default workflow, not an afterthought
• Own the full data lifecycle: ingestion, ETL, storage, and serving, building and iterating on pipelines with AI pair-programming tools (Claude Code) to accelerate delivery
• Ingest data from diverse sources via both streaming (Kafka, Kinesis) and batch pipelines, unifying them into a consistent, queryable platform
• Architect medallion-layer data models (Bronze/Silver/Gold) in Databricks, ensuring business needs are met with clean, well-documented schemas
• Automate, test, and harden data workflows, writing AI-augmented tests, data quality checks, and CI/CD pipelines that catch issues before production
• Build and maintain AI-ready tooling: craft prompts, slash commands, and agent workflows that let the entire team scaffold pipelines, generate documentation, and validate data quality faster
• Build and improve Databricks Genie chatbots that allow non-technical users to query data using natural language
• Collaborate with product analytics and data science, applying engineering rigor to messy, unstructured data and transforming it into reliable, production-ready datasets
• Contribute to infrastructure-as-code (Terraform/Atmos) for provisioning and managing cloud data infrastructure

Skills

• 10+ years working with high-volume data infrastructure
• Databricks, AWS (EMR, Kinesis/Kafka, S3), Apache Spark/Spark Streaming, Apache Airflow (MWAA), SQL, Python
• You already use LLM-based dev tools daily, not as a novelty, but as a force multiplier
• You can evaluate when AI-generated code is correct, refactor prompts like you refactor code, and build agentic workflows that compound your team's output
• Experience with data quality frameworks (Great Expectations, DQX, or similar): validation rules, schema enforcement, automated monitoring
• Proven ability to architect logical/physical data models, optimize SQL, and tune system performance
• Familiarity with IaC tools (Terraform) for cloud infrastructure provisioning
• Strong communicator who works independently and ships with minimal supervision
• BS in CS, Engineering, Math, or equivalent hands-on experience
• You own everything you ship, whether you or a model wrote it
• You review AI-generated code as if you wrote it, test it as if it were going to production, and refactor it when it doesn't meet our standards
• We expect AI fluency to show up as output: faster pipeline delivery, broader test coverage, and better documentation, without lowering quality
• You share what works, contribute to our shared AI tooling (Claude skills, agent workflows, prompts), and help other engineers get more out of their AI tools
• AI tooling changes quickly. You stay current on new tools and techniques, try them on real work, and bring recommendations to the team
• Java/Scala is a plus

Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
• For Canadian employees: life and disability as well as supplemental plans for medical and dental.
• 401(k) plan with company matching program in the US.
• RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being.
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.
• Remote work environment as the primary experience for all employees; positions can be performed remotely within the US and Canada unless otherwise specified.

Company Overview

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