Senior Analytics Platform Engineer – AWS Data Platform

Huron; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Wellness programs

Job summary

Huron’s Data Forge team seeks an Analytics Platform Engineer to design, build, and operate a scalable cloud data platform on AWS. You will develop data and analytics solutions, automate platform capabilities, and improve reliability and developer experience.

The role covers platform, data engineering, and automation, using Python, Spark, and Terraform. Collaboration in an Agile environment is essential for success.

Qualifications

• 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 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.

Responsibilities

• 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.

Skills

Python

AWS

SQL

Git

CI/CD

Data pipelines

Agile

Education

Bachelor's degree

Tools

Spark

Iceberg

CloudFormation

Terraform

GitHub

Job description

Huron’s Data Forge team seeks an Analytics Platform Engineer to design, build, and operate a scalable cloud data platform on AWS. You will develop data and analytics solutions, automate platform capabilities, and improve reliability and developer experience.

The role covers platform, data engineering, and automation, using Python, Spark, and Terraform. Collaboration in an Agile environment is essential for success.