Data Platform Integration Engineer (Senior Associate)
WFA Digital Insight
The shift to remote work has accelerated the demand for skilled data platform integration engineers, with a 25% growth in job postings in 2025. As healthcare organizations invest in digital transformation, professionals with expertise in integrating analytics applications and managing cloud infrastructure are in high demand. Huron, a leader in driving growth and innovation, is seeking a senior associate to join their team. With the healthcare industry expected to spend over
Job Description
About the Role
The Data Platform Integration Engineer role at Huron is a critical position that requires a deep understanding of analytics applications, cloud infrastructure, and data integration. As a senior associate, you will be responsible for integrating a diverse ecosystem of analytics applications under a coherent, scalable technology platform. This role entails working closely with engineering leads and data teams to design and implement integration patterns, evaluate build vs. consolidate vs. federate tradeoffs, and build and maintain shared platform services.The ideal candidate will be energized by ambiguity, skilled at reading distributed systems, and opinionated (but flexible) about platform design. You will be empowered to use AI-assisted development tools as a first-class part of your workflow and will have the opportunity to work directly with engineering leads and data teams.
Huron is a company that helps healthcare organizations drive growth, enhance performance, and sustain leadership in the markets they serve. As a Data Platform Integration Engineer, you will be part of a team that is dedicated to empowering clients to create sustainable growth, optimize internal processes, and deliver better consumer outcomes.
What You Will Do
- 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 — including their data sources, transformation logic, and dependencies
- Design and build a unified presentation layer that surfaces data from heterogeneous compute environments — including large-scale distributed systems (e.g., Spark) and traditional relational databases — in a consistent, accessible way
- Partner with domain teams who have the deepest knowledge of their own data — acting as an integration architect and collaborator rather than a centralized pipeline owner
- Identify unification opportunities but defer to domain expertise on data semantics and processing logic
- 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
- Collaborate with DevOps/SRE to define deployment pipelines and reliability standards for integration services
- Construct evidence-based business cases for cloud feature adoption— translating technical requirements into business value
What We Are Looking For
- 5+ years of experience in software engineering, with a focus on data integration and platform development
- Strong understanding of cloud infrastructure, including AWS, Azure, or GCP
- Experience with distributed systems, including large-scale data processing and storage
- Strong programming skills in languages such as Java, Python, or Scala
- Experience with data integration tools and technologies, such as APIs, event streams, and data contracts
- Strong understanding of data pipelines and ETL processes
- Experience with agile development methodologies and version control systems such as Git
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with AI-assisted development tools and technologies
Nice to Have
- Experience with machine learning or artificial intelligence
- Knowledge of healthcare industry trends and challenges
- Experience with data analytics and visualization tools
- Certification in cloud infrastructure or data engineering
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading company in the healthcare industry
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge technology and tools
- Comprehensive health and wellness programs
- Generous paid time off and holiday schedule
How to Stand Out
- Tailor your resume to highlight your experience with data integration, cloud infrastructure, and distributed systems.
- Be prepared to discuss your experience with data pipelines, ETL processes, and data analytics tools.
- Showcase your ability to work effectively with cross-functional teams and communicate complex technical concepts.
- Demonstrate your understanding of cloud infrastructure, including AWS, Azure, or GCP, and your experience with infrastructure-as-code practices.
- Be prepared to discuss your experience with agile development methodologies and version control systems such as Git.
- Highlight your ability to drive innovation and solve complex technical problems.
- Research Huron and the healthcare industry to understand the company's mission, values, and challenges.
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