Life360 - Senior Data Engineer II, AI Native
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. • AI-Native Expectations • The team leverages LLMs to support code generation, analysis, and other use cases. Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing — owning the outputs as your own. Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment. • 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 • Life360 Values • Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference • Be a Good Person - We have a team of high integrity people you can trust. • Be Direct With Respect - We communicate directly, even when it’s hard. • Members Before Metrics - We focus on building an exceptional experience for families. • High Intensity, High Impact - We do whatever it takes to get the job done. • Our Commitment to Diversity • We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
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