Senior Data Engineer II, AI Native
New
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Life360Data & Analytics
All positions, unless otherwise specified, can be performed remotely (within the US and Canada)Full-TimeSenior
Salary$148,000 to $216,500
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeAirflowSparkBigQuerydbtDatabricks
Requirements
- 5+ years of experience working with high volume data infrastructure.
- Deep expertise with a modern cloud data warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery).
- Proficiency in Python and SQL with the ability to write and optimize complex queries.
- Hands-on experience with dbt.
- Experience with large-scale data processing using Spark, Presto, or Trino.
- Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
- Hands-on experience leveraging LLMs for code generation and analysis with a focus on quality and testing.
- Experience with orchestration tools like Airflow or Databricks Workflows.
- Experience with CI/CD (GitHub Actions) and infrastructure-as-code (Terraform, DABs).
- BS in Computer Science, Information Systems, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
Responsibilities
- Design, build, and maintain scalable, distributed data pipelines and systems from ingestion through ELT to storage.
- Support streaming and batch processing for real-time analytics, machine learning, and experimentation.
- Automate, test, and harden data workflows to ensure reliability at scale.
- Architect logical and physical data models to meet evolving business needs.
- Build and maintain features for ML models.
- Collaborate with product, analytics, and data science teams to turn data into value.
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