3 months ago
Base Salary
$148k - $217k/yr
Responsibilities
- Design, build, and maintain scalable distributed data pipelines and systems covering ingestion, ELT, and storage.
- Support streaming and batch processing for real-time analytics, machine learning, and experimentation.
- Automate, test, and harden data workflows for reliability at scale.
- Architect logical and physical data models for evolving business needs.
- Build and maintain features for machine learning models.
- Collaborate with product, analytics, and data science teams to turn data into value.
- Use LLMs for code generation and analysis while reviewing and owning the resulting work.
Requirements
- 5+ years of experience working with high-volume data infrastructure.
- Deep expertise with Databricks or another modern cloud data warehouse or lakehouse platform such as Snowflake or BigQuery on AWS, GCP, or Azure.
- Proficiency in Python and SQL, including writing and optimizing complex queries.
- Hands-on experience with dbt, Spark and/or Presto/Trino, and modern data engineering tooling.
- Strong understanding of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
- Experience with orchestration, CI/CD, and infrastructure-as-code using tools such as Airflow, Databricks Workflows, GitHub Actions, Terraform, or DABs.
- Hands-on experience leveraging LLMs for code generation, analysis, and related work, including quality review, standards, testing, and ownership of AI-generated output.
- Bachelor’s degree in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related quantitative field.
- Preferred experience with experimentation frameworks and real-time streaming architectures.
Benefits
- Remote-first work environment, with roles generally performed remotely within the US and Canada.
- Medical, dental, vision, life, and disability insurance plans, with plans 100% paid for employees.
- 401(k) plan with company matching.
- Mental Wellness Program and Employee Assistance Program.
- Flexible PTO, 12 company-wide days off, and winter and summer synchronized weeklong company shutdowns.
- Learning and Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership and free Tile products.
Tech Stack
Apache AirflowApache SparkAWSAzureDatabricksdbtGitHub ActionsGoogle BigQueryGoogle Cloud PlatformPrestoPythonSnowflakeSQLTerraform
Categories
Data Engineering
About Life360
Life360 builds a family safety platform that combines a mobile app with Tile Bluetooth trackers and a pet GPS tracker for location sharing, driving insights, crash detection, and emergency dispatch. It monetizes through subscription memberships, hardware device sales, and advertising. The company is headquartered in San Mateo, California, is dual-listed on NASDAQ and the ASX, owns Tile, and serves over 100 million monthly active users across more than 180 countries.