Remote opportunity at
Life360Senior Data Engineer, Ads Data (AI Native)
Life360 seeks a Senior Data Engineer to manage and scale the ads data platform on Databricks. Life360 provides a mobile application, Tile tracking devices, and a…
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About This Role
Life360 seeks a Senior Data Engineer to manage and scale the ads data platform on Databricks. Life360 provides a mobile application, Tile tracking devices, and a Pet GPS tracker focused on family safety, location sharing, safe driver reports, and crash detection, serving millions of active users globally. Operating as an AI-native organization, the company integrates AI tools into development and daily workflows to accelerate execution and expand technical capabilities. In…
Job Description
Life360 seeks a Senior Data Engineer to manage and scale the ads data platform on Databricks. Life360 provides a mobile application, Tile tracking devices, and a Pet GPS tracker focused on family safety, location sharing, safe driver reports, and crash detection, serving millions of active users globally. Operating as an AI-native organization, the company integrates AI tools into development and daily workflows to accelerate execution and expand technical capabilities.
In this role, you will oversee foundational data models and streaming pipelines, optimize workload performance and infrastructure costs, and collaborate directly with business analysts, sales professionals, and ad strategists. Responsibilities include building dbt models for curated datasets, defining core business metrics, ensuring strict data governance compliance, and maintaining AWS infrastructure via Terraform. The position suits an experienced data engineer with deep technical expertise in Apache Spark, Databricks, and cloud data platforms who embraces AI coding assistants as a standard part of engineering velocity.
For US candidates, the annual salary ranges between $129,000 and $192,000 USD. For Canadian candidates, the position title is Developer, with an annual salary range between $149,500 and $177,500 CAD. Total compensation includes Restricted Stock Units and a full employee benefits package.
Responsibilities
- Manage, extend, and operate batch and streaming data pipelines along with Delta Lake tables on Databricks
- Partner with internal business analysts, sales teams, and ad strategists to translate data needs into robust reporting and analytics products
- Develop and maintain dbt models, tests, and incremental strategies for Silver and Gold datasets
- Administer AWS and Databricks infrastructure using Terraform for infrastructure as code
- Integrate and reconcile data feeds from CRM tools, ad platforms, partner integrations, and legacy systems
- Establish data quality monitoring, automated alerts, data contracts, lineage, and root-cause analysis procedures
- Tune and optimize Spark and Databricks workloads to manage performance and compute expenses
- Enforce engineering best practices including version control, CI/CD pipelines, code reviews, and comprehensive documentation
- Apply data privacy regulations, governance protocols, and access controls like GDPR, CCPA, PII, and SOX
- Create tools, skills, and agents to support LLM development workflows and accelerate system maintenance
Requirements
- Possess five or more years of professional data engineering experience building enterprise-scale production data platforms
- Demonstrate hands-on technical proficiency with Apache Spark including PySpark or Scala, partition management, shuffle handling, and slow job diagnosis
- Have deep practical knowledge of the Databricks ecosystem covering Delta Lake, Unity Catalog, Jobs, Workflows, Structured Streaming, and SQL Warehouses
- Demonstrate strong proficiency in SQL and Python or Scala for automation and query optimization
- Bring practical production-level experience working with dbt for model design, testing, and documentation on Databricks
- Have hands-on cloud infrastructure experience managing AWS and Databricks with Terraform
- Show proven familiarity with data orchestration frameworks, Git, CI/CD practices, and pipeline observability
- Possess a solid grounding in dimensional modeling, star schemas, medallion architecture, and metric definition
- Display experience refactoring and improving existing legacy pipelines while keeping backward compatibility
- Demonstrate regular, substantive use of AI coding assistants with a disciplined approach to code review and testing
Qualifications
- Hold a Bachelor degree or possess equivalent practical experience in Engineering, Computer Science, or a closely related field
- Bring prior industry experience working with advertising, ad tech, or media data environments covering attribution, campaign delivery, audience segmentation, or revenue reporting
Core Skills
Benefits
- Medical, dental, vision, life, and disability insurance plans fully paid for US employees
- Life, disability, and supplemental medical and dental plans for Canadian employees
- Company 401(k) matching program for US workers and RRSP with DPSP plan for Canadian workers
- Paid parental leave
- Mental wellness program and Employee Assistance Program access
- Flexible paid time off, standard company holidays, and scheduled summer and winter shutdowns
- Learning and development funding programs
- Equipment, tools, and financial support for a productive remote work setup
- Complimentary Life360 Platinum Membership and Tile tracking devices
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this role?
The position operates under a remote-first work model. Employees can perform their duties remotely within the United States and Canada.
What is the salary range for the Senior Data Engineer position?
For US-based candidates, the salary falls between $129,000 and $192,000 USD. For Canadian candidates, the salary ranges from $149,500 to $177,500 CAD. Exact compensation is determined by background, skills, experience, and geographic tier, and includes Restricted Stock Units and benefits.
What are the expectations regarding AI usage during the interview and job performance?
Life360 operates as an AI-native company where AI tool usage is integrated into daily engineering workflows. During the interview process, candidates may be asked to demonstrate AI proficiency, discuss how they use AI, or complete exercises without AI assistance depending on recruiter guidance. On the job, daily use of AI coding assistants is standard for tasks like coding, analysis, refactoring, and documentation.
What core technologies and platforms will I use in this role?
You will work extensively with Apache Spark, PySpark or Scala, Databricks, Delta Lake, Unity Catalog, dbt, Terraform, AWS infrastructure, and data orchestration tools in a CI/CD-driven environment.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.