Note: The job is a remote job and is open to candidates in USA. Life360 is a company focused on keeping families connected through innovative mobile applications and services. They are seeking a Senior Data Engineer to scale their data infrastructure, which supports millions of users by transforming raw data into actionable insights and ensuring data quality and compliance.
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
Skills
- 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
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.
Company Overview
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