Analytics Platform Engineer - Senior Associate

About Huron Huron is a global professional services firm that collaborates with organizations to solve complex challenges and achieve ambitious goals. We help clients improve performance, accelerate transformation, and unlock new opportunities for growth through deep industry expertise, innovative thinking, and practical execution. By embracing diverse perspectives, encouraging new ideas, and challenging the status quo, we create sustainable results that empower organizations and their people to own the future. Learn more at huronconsultinggroup.com.

Huron

Business OperationsCare TransformationConsumer TransformationDigitalTechnology & AnalyticsOrganizational TransformationResearch EnterpriseStrategy & InnovationConsultingAdvisory

H

huronconsultinggroup.com

5,001-10,000 employees

Business Consulting and Services

Chicago, IL

2002

Public Company

285k LinkedIn followers

• Design, develop, and maintain platform services supporting data ingestion, transformation, analytics, and reporting.
• Build reusable Python-based frameworks, utilities, and automation tools used across multiple product teams.
• Develop platform capabilities that enable rapid onboarding of datasets and analytics workloads.
• Improve platform reliability, scalability, and operational efficiency.
• Develop and maintain data pipelines supporting ingestion and processing of enterprise data.
• Build and optimize ETL/ELT solutions using Python, Spark, and AWS services.
• Support data lake architecture and modernization initiatives.
• Work with structured and semi-structured data including Parquet, Iceberg, JSON, and relational datasets.
• Develop Infrastructure-as-Code and platform automation solutions.
• Build and maintain CI/CD pipelines and deployment frameworks.
• Implement monitoring, observability, and operational tooling.
• Automate platform provisioning, configuration, and service onboarding.
• Create tooling, templates, and frameworks that simplify platform adoption.
• Troubleshoot complex platform and data issues.
• Help establish engineering best practices around testing, deployment, security, and maintainability.
• Contribute to platform standards and architecture decisions.
• Explore and implement AI-enabled solutions that improve platform capabilities and developer productivity.
• Identify opportunities to leverage automation and machine learning within platform workflows.
• Evaluate new cloud services and analytics technologies.
• Building reusable platform services that accelerate onboarding and delivery.
• Automating manual operational processes.
• Improving platform reliability, observability, and scalability.
• Delivering engineering solutions used by multiple analytics and product teams.
• Helping evolve Data Forge into a modern, self-service cloud analytics platform.
• The estimated base salary for this job is 120,000 - $165,000. 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 $138,000 - $189,750. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
• Position Level
• Senior Associate
• Country
• United States of America

Required

• Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field.
• 2-5 years of software engineering, data engineering, or platform engineering experience.
• Strong Python development skills with experience building production-grade applications and automation.
• Hands-on experience developing solutions in AWS.
• Experience working with AWS services such as S3, Lambda, Glue, Athena, ECS, Step Functions, CloudWatch, and IAM.
• Experience building and supporting data pipelines and cloud-native applications.
• Strong SQL skills and experience working with large datasets.
• Experience with Git-based source control and CI/CD pipelines.
• Strong troubleshooting, analytical, and problem-solving skills.
• Experience working within Agile development teams.

Preferred

• Experience with Apache Spark and distributed data processing.
• Experience with Apache Iceberg, Delta Lake, or modern data lake architectures.
• Experience building Infrastructure-as-Code solutions using Terraform or CloudFormation.
• Experience developing APIs, platform services, or internal developer tooling.
• Experience implementing monitoring, observability, and operational automation.
• AWS certifications such as Solutions Architect, Developer, or Data Engineer.
• Experience supporting analytics, reporting, machine learning, or AI workloads.
• Familiarity with Azure DevOps and GitHub Enterprise.
• Technologies You'll Work With
• Python
• AWS (S3, Glue, Athena, Lambda, ECS, Step Functions, CloudWatch)
• Apache Spark
• SQL
• Apache Iceberg
• GitHub & CI/CD Pipelines
• Terraform / Infrastructure-as-Code
• Data Lake & Analytics Platforms

• Medical coverage
• Dental coverage
• Vision coverage
• Wellness programs
• Annual incentive compensation program