Senior Data Engineer II - Remote Data Pipelines & ML

Life360

United States

Vor Ort

USD 148.000 - 217.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical insurance
Dental insurance
Vision insurance
Parental leave
401(k) match
Mental Wellness
Flexible PTO
Learning & Development
Remote equipment reimbursement
Life360 Platinum membership

Zusammenfassung

Life360’s Data & Analytics team is expanding, seeking a Senior Data Engineer II to own robust data pipelines and a lakehouse architecture. You will design, implement, and optimize scalable data workflows supporting real-time analytics, ML, and experimentation, across cloud platforms (AWS/GCP/Azure).

Ideal candidates bring 5+ years of high-volume data infrastructure, Python/SQL mastery, dbt ownership, and experience with Spark/Presto. This remote-first role offers strong benefits and equity.

Qualifikationen

  • 5+ years of experience with high-volume data infrastructure.
  • Experience with modern cloud data warehouse or lakehouse platforms on a major cloud provider.
  • Proficient in Python and SQL with complex queries.

Aufgaben

  • Design, build, and maintain scalable data pipelines and systems.
  • Automate, test, and harden data workflows for reliability at scale.
  • Architect data models for evolving business needs.
  • Build and maintain features for ML models.
  • Collaborate with product, analytics, and data science teams to turn data into value.

Kenntnisse

Data infrastructure
Python
SQL
dbt
Spark/Presto
Cloud data warehouse
Airflow
CI/CD
Terraform
LLM usage

Ausbildung

BS in CS/IS/MI/Math/Data Science/Engineering

Tools

Databricks
Snowflake/BigQuery

Jobbeschreibung

Life360’s Data & Analytics team is expanding, seeking a Senior Data Engineer II to own robust data pipelines and a lakehouse architecture. You will design, implement, and optimize scalable data workflows supporting real-time analytics, ML, and experimentation, across cloud platforms (AWS/GCP/Azure).

Ideal candidates bring 5+ years of high-volume data infrastructure, Python/SQL mastery, dbt ownership, and experience with Spark/Presto. This remote-first role offers strong benefits and equity.

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