[Remote] Finance Staff Data Engineer, AI Native
Note: The job is a remote job and is open to candidates in USA. Life360 is a company dedicated to keeping people close to their loved ones through innovative mobile apps and tracking devices. They are seeking a Staff Data Engineer to enhance their Finance Data Team by architecting scalable data ingestion and egress frameworks, ensuring data quality, and improving developer experience through AI tools.
Responsibilities
- Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring
- Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context)
- Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close
- Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems
- Enhance our security posture in our AWS / Databricks environment
- Design and implement distributed data processing systems using Spark and Databricks on AWS
- Establish clear ingestion and integration boundaries that eliminate single points of failure
- Proactively surface risks, dependencies, and tradeoffs before they impact delivery
- Produce clear technical artifacts and recommendations for stakeholders and leadership
- Design logical and physical data models balancing flexibility, performance, governance, and scalability
- Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting
- Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms
- Mentor engineers and elevate distributed systems rigor across the team
Skills
- 8+ years designing and operating high-volume distributed data systems in production
- Deep expertise with a cloud data platform (Databricks strongly preferred) and AWS from an infrastructure / services architecture, deployment, and ownership perspective
- Strong proficiency in Python, SQL, and Spark for large-scale processing
- Strong proficiency with modern CI/CD practices (creating GitHub Actions, writing Terraform code to manage infrastructure in Databricks / Airflow / AWS / and others)
- Hands-on experience with dbt from an infrastructure / deployment perspective and understanding of how platform decisions impact downstream modeling
- Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization
- Experience with Airflow and data flow orchestration
- Experience with networking challenges in data ingestion (e.g., VPC peering, firewall traversal, API rate limiting, cross-AWS account access, etc.)
- Able to effectively leverage / oversee LLM-supported code development while maintaining a high quality bar
- Demonstrated experience with AI tools to support / enhance development - Claude Code, Cursor, etc
- Demonstrated ability to independently scope ambiguous problems and drive them to decisive outcomes
- Track record of proactively escalating risks and closing long-running efforts with clear recommendations
- Experience defining ingestion validation standards and implementing data quality controls
- Proven ability to reduce operational fragility and eliminate single points of failure
- Strong systems design skills across distributed and event-based architectures
- Demonstrated technical leadership influencing cross-team architectural decisions
- Excellent communication skills across engineering, analytics, product, and executive stakeholders
- BS in Computer Science, Engineering, Mathematics, or equivalent experience
Benefits
- Competitive pay and benefits.
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
- Employee Assistance Program (EAP) for mental wellness.
- Flexible PTO and 12 company wide days off throughout the year.
- Learning & Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership for your preferred circle.
Company Overview
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