Jobs / Huron Consulting Group
Analytics Platform Engineer - Senior Associate
Huron Consulting Group · Chicago, IL, United States
Chicago, IL, United StatesExp: 2-5 yrs120,000-189,750 USD/yearlyRemote
Remuneration
Eligible for annual incentive compensation; total estimated compensation of $138,000-$189,750 inclusive of incentive opportunity. Benefits include medical, dental, vision, and wellness programs.
Location
Chicago, IL, United States
Visa sponsorship
Not specified
Job summary
The Analytics Platform Engineer designs, builds, and operates an enterprise cloud data platform, delivering scalable services for data ingestion, transformation, analytics, and reporting. The role develops Python applications and data pipelines, optimizes ETL/ELT with Spark and AWS, and automates infrastructure, CI/CD, and platform operations. It also improves reliability, observability, and developer experience across a cloud data lake using technologies such as S3, Glue, Athena, Iceberg, and Terraform.
Benefits
Annual incentive compensationMedical coverageDental coverageVision coverageWellness programs
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or a related field.
- 2-5 years of software engineering, data engineering, or platform engineering experience.
- Strong Python skills and experience building production applications and automation.
- Hands-on experience developing solutions on AWS, including 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 analytical, troubleshooting, and problem-solving skills.
- Experience working in Agile development teams.
- Preferred experience with Spark, modern data lake architectures, Terraform or CloudFormation, platform services, observability, and analytics, machine learning, or AI workloads.
Responsibilities
- Design, develop, and maintain platform services for data ingestion, transformation, analytics, and reporting.
- Build reusable Python frameworks, utilities, and automation tools for product teams.
- Develop and maintain enterprise data pipelines and optimize ETL/ELT using Python, Spark, and AWS.
- Support data lake architecture and modernization initiatives.
- Automate infrastructure provisioning, configuration, service onboarding, and deployments.
- Build and maintain Infrastructure-as-Code solutions, CI/CD pipelines, and deployment frameworks.
- Implement monitoring, observability, and operational tooling.
- Troubleshoot platform and data issues and improve reliability, scalability, and operational efficiency.
- Explore AI-enabled solutions and automation to improve platform capabilities and developer productivity.
- Contribute to platform standards, architecture decisions, and engineering best practices.
Skills
AthenaAWSAzureAzure DevOpsCloudFormationCloudWatchECSGitGitHubIAMAWS LambdaPythonS3SparkTerraformAWS Glue
Certifications
AWS Solutions ArchitectAWS DeveloperAWS Data Engineer
Degrees
Bachelor's degree in Computer Science, Information Systems, Engineering, Analyti
Industry
ConsultingData analytics
Relocation
No