Principal Data Analytics Platform Engineer (Remote)

The Options Clearing Corporation (OCC); Chicago (IL); Hybrid; USD 124,000 - 141,000; Full time

Benefits offered by this job

Hybrid work environment

Tuition reimbursement

Student loan repayment assistance

Technology stipend

Generous PTO & parental leave

401k employer match

Health benefits

Job summary

The Options Clearing Corporation (OCC) seeks a data analytics engineer to expand OCC’s analytics capabilities by making data accessible across the organization. You will help design and build our internal analytics data warehouse and the ETL processes that feed it, partnering with the Data Platform team and other stakeholders.

You'll become the expert on OCC’s data sets, develop cloud data warehouse infrastructure on AWS, implement Python-based data pipelines, and apply DevOps practices to

Qualifications

• Master’s degree in data science, analytics, or related field with two years of experience.
• Experience as a data analyst or analytics associate preferred.

Responsibilities

• Expand OCC’s analytics capabilities and make data accessible to analysts across the organization.
• Design and build the internal analytics data warehouse and the ETL/ELT processes.
• Develop cloud data warehouse infrastructure for internal analytics on AWS in collaboration with the Data Platform team.
• Create documentation and testing to ensure data accuracy and understandability.
• Promote self-service data literacy and best practices for analytics engineering.

Skills

Terraform

Ansible

Docker & Jenkins

Vault & Airflow

Education

Master’s degree in data science or analytics

Job description

The Options Clearing Corporation (OCC) seeks a data analytics engineer to expand OCC’s analytics capabilities by making data accessible across the organization. You will help design and build our internal analytics data warehouse and the ETL processes that feed it, partnering with the Data Platform team and other stakeholders.

You'll become the expert on OCC’s data sets, develop cloud data warehouse infrastructure on AWS, implement Python-based data pipelines, and apply DevOps practices to