The #1 family safety app 📱
Senior Data Engineer – AI Native
Location
United States
Posted
1 day ago
Salary
$103.5K - $192K / year
Seniority
Senior
Job Description
Senior Data Engineer – AI Native
Life360
• 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.
Job 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.
Benefits
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
- 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.
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