Senior Data Engineer II, AI Native
About The Position
Life360 is seeking a Senior Data Engineer II with an AI Native focus to join their Data & Analytics team. This role involves enhancing and maintaining data processing and storage pipelines for a secure data lakehouse, supporting real-time decision-making, experimentation, ML, and large-scale analytics. The company is building an AI-native organization where AI is integral to operations, and this role will leverage cutting-edge tools, including LLMs, for data product development. The position is remote-first within the US and Canada. The Data & Analytics team operates at significant scale and complexity, expecting engineers to own problems and drive clarity. The ideal candidate will be a high-intensity engineer passionate about building high-impact data products and keeping members ahead of metrics. This role offers the opportunity to become a go-to person for data products across the business within a collaborative team environment.
Requirements
- 5+ years of experience working with high volume data infrastructure.
- Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred; Snowflake, BigQuery, or similar also considered) on a major cloud provider (AWS, GCP, or Azure).
- Proficient in Python and SQL, with the ability to write and optimize complex queries.
- Hands-on experience with dbt.
- Experience with large-scale data processing using Spark and/or Presto/Trino.
- Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
- Hands-on experience leveraging LLMs for code generation, analysis, and related work — including reviewing AI-generated output with a close eye on quality, standards, and testing, and owning it as your own.
- Experience with modern data engineering tooling — orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs).
- BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Engineering (Computer, Electrical, or Software), or a related quantitative field.
Nice To Haves
- Experience working with an experimentation framework.
- Experience designing and maintaining real-time streaming architectures.
Responsibilities
- Design, build, and maintain scalable, distributed data pipelines and systems — from ingestion through ELT to storage — supporting streaming and batch processing for real-time analytics, ML, and experimentation.
- Automate, test, and harden data workflows to ensure reliability at scale.
- Architect logical and physical data models that meet evolving business needs.
- Build and maintain features for ML models.
- Collaborate with product, analytics, and data science teams to turn data into value.
Benefits
- Competitive pay and benefits
- Medical, dental, vision, life and disability insurance plans (100% paid for employees)
- 401(k) plan with company matching program
- Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
- Flexible PTO, 12 company-wide days off throughout the year
- Winter and Summer Weeklong Synchronized Company Shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership for your preferred circle
- Free Tile Products
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What This Job Offers
Job Type
Full-time
Career Level
Senior
