Senior Data Engineer (AI Native)

Life360

7h • $103,500 - $192,000 • Remote

About The Position

Life360 is seeking a Senior Data Engineer for their Data Platform Core team. This role involves designing, building, and maintaining scalable data infrastructure to support a product used by millions of families. The team handles massive data volumes, including over 6 billion events per day from streaming sources like Kafka and Kinesis, as well as batch ingestion from various databases and APIs. The engineer will own critical pipelines end-to-end, transforming raw data into clean, modeled datasets in a Databricks Lakehouse. The infrastructure is AWS-based, utilizing Databricks, Kafka, S3, Kinesis, and MWAA. Responsibilities include partnering with Analytics Engineering, Data Science, and other teams, onboarding data sources, and building AI-powered chatbots (Databricks Genie) for natural language data interaction. This position is at the intersection of platform reliability and engineering velocity, directly impacting other data teams. The role also involves shaping the team's AI development practices, architecting new systems, solving complex data problems, and improving data delivery at scale. Life360 is a remote-first company, with this position being remote within the US and Canada. The company emphasizes an AI-native approach, integrating AI tools into engineering workflows for faster development and continuous improvement of data products.

Requirements

• 5+ years working with high-volume data infrastructure.
• Core stack: Databricks, AWS (EMR, Kinesis/Kafka, S3), Apache Spark/Spark Streaming, Apache Airflow (MWAA), SQL, Python (Java/Scala a plus).
• AI-native mindset: 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.

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, custom 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.

Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior