Description

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future.

As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results.

Join our team and create your future.

The Analytics Platform Engineer, Associate develops and maintains analytics infrastructure and deployment pipelines that enable teams across the organization to develop and deploy analytic products. This role focuses on implementing platform capabilities and supporting infrastructure development using cloud and data engineering technologies.

Responsibilities
Platform Infrastructure Development
• Develops and maintains analytics infrastructure components and deployment pipelines
• Implements infrastructure-as-code solutions following established patterns
• Supports automated deployment processes for analytics products and data pipelines
• Contributes to platform scalability and reliability improvements
• Assists in ensuring platform performance meets team requirements
Data Pipeline Engineering
• Builds and maintains ETL/ELT pipelines for data ingestion, transformation, and loading
• Develops data integration solutions connecting source systems to analytics platforms
• Implements data quality and validation processes within pipeline workflows
• Supports monitoring and alerting for data pipeline health and performance
• Assists in optimizing pipeline performance and resource utilization
Platform Services & Tools
• Contributes to development of self-service tools and platform capabilities
• Helps create standardized templates and patterns for analytics use cases
• Supports API and service development for platform integration
• Implements version control, testing, and deployment automation for platform components
• Assists in maintaining platform documentation and usage guidelines
Collaboration & Support
• Partners with Product Owners, Data Scientists, and Analytics teams to understand platform needs
• Supports teams in adopting and leveraging platform tools and infrastructure
• Provides technical guidance on platform capabilities under supervision
• Gathers feedback from platform users to inform improvements
• Participates in agile ceremonies and contributes to platform roadmap discussions
Cloud & DevOps Practices
• Implements cloud-based analytics infrastructure using modern cloud platforms
• Applies DevOps and DataOps principles to platform development
• Supports CI/CD pipelines for analytics infrastructure and data workflows
• Implements security, access control, and compliance measures in platform components
• Assists in monitoring platform performance and optimizing resource usage
Quality & Standards
• Follows platform engineering standards and best practices
• Participates in code reviews and incorporates feedback
• Implements testing for platform components and data pipelines
• Documents technical designs and operational procedures
• Contributes to continuous improvement of platform capabilities

Qualifications
Required
• 2-4+ years of experience in platform engineering, software engineering, or data engineering
• Proficiency in Python, SQL, and/or other relevant programming languages
• Experience building cloud-based data infrastructure (AWS, Azure, or GCP)
• Knowledge of ETL/ELT tools and frameworks (e.g., Airflow, dbt, Databricks, or similar)
• Understanding of infrastructure-as-code tools (Terraform, CloudFormation, or similar)
• Familiarity with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions, or similar)
• Knowledge of data warehousing concepts and analytics architectures
• Good problem-solving skills and ability to design technical solutions
• Effective communication and collaboration abilities
• Self-motivated with ability to work independently and as part of a team

Preferred
• Bachelor's degree in Computer Science, Engineering, or related technical discipline
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with data lakehouse architectures and technologies
• Understanding of BI platforms and their deployment requirements (Tableau, Power BI, Looker)
• Exposure to streaming data platforms (Kafka, Kinesis, or similar)
• Knowledge of data governance, security, and compliance requirements
• Experience in agile software development practices
• Certifications in cloud platforms or relevant technologies
Key Competencies
• Technical proficiency with platform and infrastructure focus
• Problem-solving and analytical thinking
• Collaborative approach to enabling others
• Commitment to automation and efficiency
• Learning agility for evolving technologies
• Customer-focused with internal service orientation
• Attention to detail and quality

The estimated base salary for this job is $70,000 - $90,000. 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 $78,400 - $106,200. 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.

Position Level
Associate

Country
United States of America