Senior Data Engineer, Ads Data – AI Native

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $129k - $192k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Life360

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

📋 Description

• Enhance, extend, and operate batch and streaming pipelines and Delta Lake tables on Databricks • Evolve the platform across ingestion, orchestration, storage, and serving as data volume and business needs grow • Partner with business analysts, ad strategists, and sales teams to turn business questions into durable data and insights products • Build and maintain dbt models and tests for curated Silver/Gold datasets • Own the semantic layer and core business metrics • Manage Databricks and AWS infrastructure as code with Terraform • Integrate and reconcile data from ad platforms, CRM, partner feeds, and internal systems • Migrate away from legacy tools and reports • Implement data quality tests, monitoring, lineage, SLAs, and alerting • Define data contracts with upstream producers and lead root-cause analysis when data breaks • Tune Spark and Databricks workloads for performance and cost • Establish version control, CI/CD, code review, testing, and documentation best practices • Mentor engineers and help shape the team’s technical roadmap • Apply data governance, privacy, and access controls across the platform • Create LLM tools, skills, and agents to improve debugging, development, and system maintenance • Become the go-to engineer for foundational data models and pipelines within the first year • Reduce pipeline runtime and compute spend and deliver documented, trusted datasets and metrics

🎯 Requirements

• 5+ years of experience in data engineering building production data platforms at enterprise scale • Demonstrated ownership of data products and cross-functional collaboration • Deep, hands-on expertise with Apache Spark, including PySpark and/or Scala, partitioning, shuffle behavior, joins, skew handling, caching, and job tuning • Deep knowledge of Databricks, including Delta Lake, Unity Catalog, Jobs/Workflows, Databricks Asset Bundles, Structured Streaming, and SQL Warehouses • Experience optimizing workloads for performance and cost • Strong SQL and Python or Scala skills • Hands-on production experience with dbt, including model design, testing, documentation, and incremental strategies • Hands-on experience with Terraform and AWS, including S3, IAM, and networking fundamentals • Experience with orchestration frameworks such as Airflow or Databricks Workflows • Experience with Git, CI/CD, and reliable, observable pipelines • Understanding of data modeling, dimensional modeling, star schemas, and medallion architecture • Experience building semantic layers or metric definitions • Experience inheriting, refactoring, and improving existing data models and pipelines • Experience using AI/LLM coding assistants such as GitHub Copilot, Cursor, or Claude Code • Strong business acumen and excellent communication skills • Familiarity with GDPR, CCPA, SOX, and BI tools such as Domo, Tableau, or Looker • Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field • Daily professional use of AI coding assistants • Ability to review, test, and take ownership of AI-generated code • Ability to stay current with rapidly changing AI tooling • Advertising, ad tech, or media data experience is preferred

🏖️ Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees) • Life and disability insurance and supplemental medical and dental plans for Canadian employees • 401(k) plan with company matching program in the US • RRSP with DPSP plan for Canadian employees • Paid parental leave • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being • Flexible PTO • Companywide holidays throughout the year • Summer and winter shutdowns • Learning & Development programs • Equipment, tools, and reimbursement support for a productive remote environment • Free Life360 Platinum Membership and Tile trackers • Equity compensation in the form of Restricted Stock Units (RSUs)

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