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Senior Data Engineer II, AI Native

4 weeks, 1 day ago
United States, Canada
Full-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Azure CI/CD Databricks dbt Elasticsearch GCP GitHub Actions LLM Machine Learning Presto Python Snowflake SQL Terraform Trino
Apply Now
Life360

Life360

Life360 is the top family location safety app, offering advanced safety features to connect and protect millions of families worldwide.

Family Services
251-1K
Founded 2008
$140M raised
View All Jobs 11

Description

  • Design, build, and maintain scalable distributed data pipelines and systems from ingestion through ELT to storage.
  • Support both 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 to meet evolving business needs.
  • Build and maintain features for machine learning models.
  • Collaborate with product, analytics, and data science teams to turn data into business value.
  • Enhance and maintain data processing and storage pipelines for a secure data lakehouse.
  • Own data problems, drive clarity, and raise the bar across the organization.

Requirements

  • 5+ years of experience working with high-volume data infrastructure.
  • Deep expertise with a modern cloud data warehouse or lakehouse platform, preferably Databricks, or Snowflake, BigQuery, or similar.
  • Experience on a major cloud provider such as AWS, GCP, or Azure.
  • Proficiency in Python and SQL, including writing and optimizing complex queries.
  • Hands-on experience with dbt.
  • Experience with large-scale data processing using Spark and/or Presto/Trino.
  • Strong understanding of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
  • Hands-on experience leveraging LLMs for code generation and analysis, with careful review for quality, standards, and testing.
  • Experience with modern data engineering tooling such as Airflow, Databricks Workflows, GitHub Actions, Terraform, and DABs.
  • Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or Engineering.
  • Experience working with an experimentation framework (preferred).
  • Experience designing and maintaining real-time streaming architectures (preferred).

Benefits

  • US base salary range of $148,000 to $216,500.
  • Competitive pay and benefits, including equity.
  • Medical, dental, vision, life, and disability insurance plans, 100% paid for employees.
  • 401(k) plan with company matching.
  • Mental Wellness Program and Employee Assistance Program (EAP).
  • Flexible PTO plus 12 company-wide days off.
  • Winter and Summer weeklong synchronized company shutdowns.
  • Learning and Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free Life360 Platinum Membership and free Tile products.

Interested in this position?

Apply directly on the company website

Apply Now

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