Data Platform Integration Engineer (Senior Associate)

Platform Integration Engineer Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.Join our team as the expert you are now and create your future.Platform Unification & Integration Audit existing analytics applications to understand their underlying technology choices, data flows, and integration pointsDesign and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewritesEvaluate build vs. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignmentBuild and maintain shared platform services — authentication, observability, configuration management, logging — that reduce duplication across applicationsData Pipeline & ETL Engineering Develop a deep understanding of existing data pipelines owned by distributed teams — including their data sources, transformation logic, and dependenciesDesign 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 wayPartner 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 logicCloud Infrastructure 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 PulumiCollaborate with DevOps/SRE to define deployment pipelines and reliability standards for integration servicesConstruct evidence-based business cases for cloud feature adoption — translating technical requirements into business value, risk reduction, and compliance language that resonates with IT governance and procurement stakeholdersWhat We're Looking For Required Qualifications 5+ years of software engineering experience, with 3+ years focused on integration, platform, or infrastructure workProficiency in at least one backend language commonly used in data-intensive systems (Python, Go, Java, or similar); proficiency in two or more languages strongly preferredHands-on experience with cloud platforms (AWS strongly preferred) including compute, storage, networking, and managed servicesExperience building and operating data pipelines (ETL/ELT), including schema management and data quality monitoringWorking experience with AI-assisted development tooling in a professional engineering contextStrong written communication skills — able to produce clear architecture decision records (ADRs), runbooks, and design documentsPreferred Qualifications Experience evaluating and rationalizing heterogeneous technology stacks — i.e., inheriting systems you didn't design and making them work togetherFamiliarity with analytics or ML platform tooling (e.g., Airflow, dbt, MLflow, Spark, or SaaS equivalents)Experience with API gateway management, service mesh, or distributed tracing toolingBackground working with both structured (SQL) and semi-structured (JSON, Parquet, Avro) data at scaleHow You Work We care as much about how you think as what you've built. The ideal candidate for this role:Is pragmatic over dogmatic — you reach for the right solution given real constraints, not the theoretically perfect oneCommunicates tradeoffs clearly to both technical peers and non-technical stakeholdersIs comfortable making a recommendation and defending it, but genuinely updates when presented with better informationBrings structure to ambiguous problems — you can walk into a complex legacy system and produce a clear map of what's thereUnderstands that "don't touch what works" and "build it right" are often both correct answers, depending on contextTakes ownership of quality and reliability — you care about what happens after you shipWhat We Offer Flexible remote-first or hybrid work environmentOpportunity to define integration and platform patterns that will shape the organization's technical directionThe estimated base salary for this job is $120,000 - $165,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $134,400 - $194,700 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.