Senior Data Engineer, Reliability & Observability

Responsibilities

• Architect and own scalable, maintainable data models for reliability, automation, lab data, and telemetry-generated information.
• Lead database schema design to support cross-test analytics, traceability, repeatability, and long-term platform growth.
• Design and implement robust ingestion and transformation pipelines across automated test systems, CI/CD workflows, lab infrastructure, and engineering tools.
• Define and standardize shared identifiers, metadata strategies, and data contracts enabling reliable correlation across runs, sessions, devices, builds, environments, and programs.
• Create complex data solutions in areas with limited or fragmented standards, tooling, or historical patterns.
• Provide technical guidance to reliability engineers, lab engineers, software/test automation engineers, and DevOps partners on data architecture, observability design, and scalable reporting patterns.
• Influence engineering standards for schema design, ingestion patterns, telemetry structure, data governance, and dashboard consumption.
• Enable observability workflows by structuring metrics, logs, events, and related telemetry into fit-for-purpose systems supporting debugging and strategic analysis.
• Support dashboards and reporting experiences for technical users and leadership, including engineering deep dives, program health reporting, and executive views.
• Drive data quality, performance, consistency, integrity, and usability improvements across the PSR ecosystem.
• Identify architectural bottlenecks and lead remediation across storage, schema design, pipeline reliability, and visualization workflows.
• Create and maintain documentation, standards, and best practices for schema design, ingestion patterns, data governance, and dashboard enablement.
• Mentor and influence other engineers through design reviews and practical guidance on scalable data solutions.
• Contribute to longer-term data and observability strategy that scales with evolving Pod programs and future platform needs.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field; Master’s degree preferred.
• 7+ years of experience in data engineering, analytics engineering, platform engineering, or related roles; or 5+ years with an advanced degree.
• Strong experience architecting relational database schemas for scale, maintainability, and long-term reuse.
• Deep SQL expertise with hands-on work on PostgreSQL or equivalent relational platforms.
• Proven experience building and evolving ETL/ELT or other data ingestion and transformation pipelines in production.
• Experience using Python or another programming language for data processing, automation, or integration tasks.
• Strong understanding of observability and telemetry concepts, including metrics, logs, events, and time-series data.
• Experience creating scalable reporting and visualization solutions in Grafana, Power BI, Tableau, or similar tools.
• Ability to influence architecture decisions and collaborate with engineering, infrastructure, and leadership stakeholders.
• Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.
• Proven ability to work independently with minimal supervision while driving complex initiatives forward.
• Strong technical leadership, mentorship, and advisory capabilities across engineering teams.
• Ability to navigate ambiguity, evaluate tradeoffs, and make sound architectural decisions in evolving environments.
• Strong time management, multitasking, and prioritization skills.
• Proven ability to collaborate across cross-functional teams and build alignment without direct authority.

Technologies

• PostgreSQL
• SQL
• Python
• Grafana
• Power BI
• Tableau
• Loki
• Prometheus
• InfluxDB

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match
• Paid time off (PTO)
• Additional employee wellness programs

Additional Information

• Location: Acton, MA (hybrid) with preference for Acton facility
• Travel: approximately 10%, with flexibility based on business needs
• Hybrid arrangement eligible (on-site at Acton, MA; partial remote days)
• Compensation: base salary range $118,800.00 - $178,200.00 per year
• Eligibility for incentive compensation may apply
• Application remains open until filled; apply via Insulet Careers
• Actual pay depends on skills, experience, and education