Senior Associate, Analytics Platform Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design, develop, and sustain platform services that facilitate data ingestion, transformation, analytics, and reporting.

• Create reusable Python-based frameworks, utilities, and automation tools utilized across various product teams.

• Enhance platform capabilities to enable quick onboarding of datasets and analytics workloads.

• Elevate platform reliability, scalability, and operational efficiency.

• Develop and oversee data pipelines that support the ingestion and processing of enterprise data.

• Construct and refine ETL/ELT solutions using Python, Spark, and AWS services.

• Assist in supporting data lake architecture and modernization efforts.

• Create Infrastructure-as-Code and platform automation solutions.

• Develop and manage CI/CD pipelines and deployment frameworks.

• Implement monitoring, observability, and operational tools.

• Automate platform provisioning, configuration, and service onboarding processes.

• Design tools, templates, and frameworks that facilitate platform adoption.

• Diagnose complex platform and data issues.

• Help establish engineering best practices related to testing, deployment, security, and maintainability.

• Contribute to platform standards and architectural decisions.

• Investigate and implement AI-enabled solutions that enhance platform capabilities and developer productivity.

• Identify opportunities to harness automation and machine learning within platform workflows.

• Assess new cloud services and analytics technologies.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or a related field.

• 2-5 years of experience in software engineering, data engineering, or platform engineering.

• Proficient in Python development with a background in building production-grade applications and automation.

• Practical experience in developing solutions on AWS.

• Familiarity with AWS services such as S3, Lambda, Glue, Athena, ECS, Step Functions, CloudWatch, and IAM.

• Experience in 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.

• Excellent troubleshooting, analytical, and problem-solving abilities.

• Experience collaborating in Agile development teams.

• Preferred: Experience with Apache Spark and distributed data processing.

• Preferred: Experience with Apache Iceberg, Delta Lake, or contemporary data lake architectures.

• Preferred: Experience in creating Infrastructure-as-Code solutions using Terraform or CloudFormation.

• Preferred: Experience in developing APIs, platform services, or internal developer tooling.

• Preferred: Experience in implementing monitoring, observability, and operational automation.

• Preferred: AWS certifications such as Solutions Architect, Developer, or Data Engineer.

• Preferred: Experience supporting analytics, reporting, machine learning, or AI workloads.

• Preferred: Familiarity with Azure DevOps and GitHub Enterprise.

🏝️ Benefits

• Annual incentive compensation program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Wellness programs.