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Diabetes Youth Families

Senior Data Engineer, Reliability & Observability

Diabetes Youth Families

Senior Data Engineer architecting data solutions for reliability and observability insights at Insulet Corporation. Leading efforts in scalable data architecture and collaborative cross-functional initiatives.

Posted 6/19/2026full-timeActon • Massachusetts • 🇺🇸 United StatesSenior💰 $118,800 - $178,200 per yearWebsite

Tech Stack

Tools & technologies
ETLGrafanaPostgresPythonSQLTableau

About the role

Key responsibilities & impact
  • Architect and own scalable, maintainable, and extensible data models for reliability, automation, lab, and telemetry-generated data.
  • Lead the design and evolution of database schemas that 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 supporting engineering tools.
  • Define and standardize shared identifiers, metadata strategies, and data contracts that enable reliable correlation across runs, sessions, devices, builds, environments, and programs.
  • Enable observability workflows by structuring and integrating metrics, logs, events, and related telemetry into fit-for-purpose systems that support both operational debugging and strategic analysis.

Requirements

What you’ll need
  • Bachelor’s degree required (preferred field of study in Computer Science, Software Engineering, Data Engineering, or Information Systems)
  • 7+ years of experience in data engineering, analytics engineering, platform engineering, or related roles; or 5+ years of experience with an advanced degree in a related field.
  • Strong experience architecting relational database schemas and modeling structured engineering or operational data for scale, maintainability, and long-term reuse.
  • Deep SQL expertise and hands-on experience with relational databases such as PostgreSQL or equivalent platforms.
  • Strong experience building and evolving ETL/ELT or other data ingestion and transformation pipelines in production environments.
  • 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 tools such as Grafana, Power BI, Tableau, or similar platforms.
  • Strong written and verbal communication skills, including the ability to make complex technical concepts understandable and actionable for a broad audience.

Benefits

Comp & perks
  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Paid time off (PTO)
  • And additional employee wellness programs

ATS Keywords

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Hard Skills & Tools
data modelingdatabase schema designSQLETLELTdata ingestiondata transformationPythonobservabilitytelemetry
Soft Skills
communicationleadershipproblem-solvingcollaborationanalytical thinking