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Life360
Life360

Senior Data Engineer II, AI Native

RemoteUnited States, Canada only
Published
Role
Data Engineering
Experience
Senior
Company size
Mid-size
$148k–$216.5k/yr
Check eligibility

Open to US, CA only. Set where you work from to check your eligibility.

No BS summary

Senior data engineer with 5+ years in high-volume data infrastructure. Must be strong in Python, SQL, dbt, cloud lakehouse/warehouse platforms, Spark and/or Presto/Trino, and modern orchestration/CI/CD/IaC tooling. US/Canada remote role with hands-on LLM usage expected.

Core skills

Databricks/Snowflake/BigQueryPythonSQL

Required skills

AWS/GCP/AzuredbtSpark/Presto/TrinoLLMsAirflow/Databricks WorkflowsGitHub ActionsTerraformDABs

What you'll do

  • 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.

What they require

  • 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.
  • 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.
  • Preferred: Experience working with an experimentation framework.
  • Preferred: Experience designing and maintaining real-time streaming architectures.

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
  • Equity

location based freemium app for families

🇺🇸 United StatesTechnologyMid-sizelife360.com
$148k–$216.5k/yr