Senior Data Platform Integration Engineer

🔥 3 hours ago

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Huron

5001 - 10000 employees

Founded 2002

🤝 B2B

🏢 Enterprise

💸 Finance

B2B • Enterprise • Finance

Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.

📋 Description

• 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

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