Life360

Life360

Staff Data Engineer, Data Platform Core (AI Native)

Remote, USA ; Remote, Canada · Staff+

Sponsorship not specified$190k-$281kDetected 1 day ago
PythonJavaScalaSQLMySQLDynamoDBDatabricksAWSCloud PlatformsTerraformCI/CDKafkaSparkAirflowData EngineeringData ScienceLLMsEHR/EMR

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, cost efficiency, and performance at every step.
  • We embed AI tooling directly into our engineering workflows, from pipeline scaffolding to documentation generation, so our engineers ship faster and our data products improve continuously.
  • If you believe the future of data engineering is human judgment amplified by AI, you'll fit right in.

Responsibilities

  • Design and manage scalable data platforms powering real-time analytics, batch processing, and exploratory analysis, using AI-assisted development as the default workflow, not an afterthought.
  • Own the full data lifecycle: ingestion, ETL, storage, and serving, building and iterating on pipelines with AI pair-programming tools (Claude Code) to accelerate delivery.
  • Build and maintain AI-ready tooling: craft prompts, slash commands, and agent workflows that let the entire team scaffold pipelines, generate documentation, and validate data quality faster.
  • Build and improve Databricks Genie chatbots that allow non-technical users to query data using natural language.
  • Collaborate with product analytics and data science, applying engineering rigor to messy, unstructured data and transforming it into reliable, production-ready datasets.
  • Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
  • Members Before Metrics - We focus on building an exceptional experience for families.

Requirements

  • 10+ years working with high-volume data infrastructure.
  • Experience with data quality frameworks (Great Expectations, DQX, or similar): validation rules, schema enforcement, automated monitoring.
  • Familiarity with IaC tools (Terraform) for cloud infrastructure provisioning.
  • BS in CS, Engineering, Math, or equivalent hands-on experience.

Nice to have

  • Core stack: Databricks, AWS (EMR, Kinesis/Kafka, S3), Apache Spark/Spark Streaming, Apache Airflow (MWAA), SQL, Python (Java/Scala is a plus).

Compensation

  • For candidates based in the US, the salary range for this position is $190,000 to $280,500 USD.

Benefits

  • Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
  • We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.
  • Paid parental leave.
  • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being.
  • Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns.
  • Learning & Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.

Company info

  • The Data Platform Core team designs, builds, and maintains scalable data infrastructure that empowers Life360 to make data-driven decisions.
  • By leveraging innovative technologies and best practices, we enable Product, Analytics, and Partners to unlock the full potential of data, driving operational excellence and strategic growth.
  • We are also an AI-native team.
  • About the Job
  • As a Staff Data Engineer, you will be a key driver in scaling Life360's data infrastructure to support a product trusted by millions of families worldwide.
  • One of our major pipeline processes handles over 6 billion events per day and approximately 2 TB of data daily from high-throughput event streams via Kafka and Kinesis.
  • We also run batch ingestion pipelines from MySQL, DynamoDB, and internal and external APIs.
  • You'll own these critical pipelines end-to-end, from raw event ingestion through transformation to delivering clean, modeled datasets in our Databricks Lakehouse that power product decisions, analytics, and partner integrations.
  • Our infrastructure runs on AWS, leveraging Databricks, Kafka, S3, Kinesis, and MWAA (Managed Workflows for Apache Airflow) for orchestration, along with many other AWS services.
  • Beyond building and maintaining our own pipelines, we partner closely with Analytics Engineering, Data Science, and other teams across the organization, providing data infrastructure support and onboarding new and existing data sources into our bronze layer.
  • We also build chatbots that enable non-technical users to interact with data in natural language, automating common data questions and reducing the burden on engineering teams.
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This listing is sourced directly from Life360's careers page and normalized into a canonical job model.