Senior Data Platform Integration Engineer

Posted 1ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Senior Data Platform Integration Engineer at Huron, focusing on unifying diverse analytics applications for healthcare initiatives. Collaborating with teams to drive innovation and performance improvements.

Responsibilities:

  • Audit existing analytics applications to understand their underlying technology choices, data flows, and integration points
  • Design and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewrites
  • Evaluate build vs. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment
  • Build and maintain shared platform services — authentication, observability, configuration management, logging — that reduce duplication across applications
  • Develop a deep understanding of existing data pipelines owned by distributed teams
  • Design and build a unified presentation layer that surfaces data from heterogeneous compute environments
  • Deploy and manage platform services on cloud infrastructure (AWS preferred; Azure/GCP experience a plus)
  • Contribute to infrastructure-as-code practices using tools such as Terraform, CDK, or Pulumi

Requirements:

  • BA or BS required, preferably in Computer Science, Engineering, or a technology-based discipline
  • 7+ years of software engineering experience, with at least 5 years focused on integration, platform, or infrastructure work
  • Proficiency in at least one backend language commonly used in data-intensive systems (Python, Go, Java, or similar); proficiency in two or more languages strongly preferred
  • Hands-on experience with cloud platforms (AWS strongly preferred) including compute, storage, networking, and managed services
  • Experience building and operating data pipelines (ETL/ELT), including schema management and data quality monitoring
  • Working experience with AI-assisted development tooling in a professional engineering context
  • Strong written communication skills — able to produce clear architecture decision records (ADRs), runbooks, and design documents.

Benefits:

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Wellness programs
  • Paid Time Off policy
  • Paid parental leave
  • Adoption assistance
  • 401(k) plan with employer match
  • Employee stock purchase plan
  • Annual incentive compensation program