Associate Principal, Data Analytics Engineering

The OCC

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$124,400–$140,500 / yr
Employment
Full-time
Posted
55 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k
This role $132k
$111k $251k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $165,000–$214,500 — the blue band above. At the midpoint, this role pays about $132k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About The OCC

The OCC (Options Clearing Corporation) is the world''s largest equity derivatives clearing organization, acting as issuer and guarantor for options and futures contracts to promote stability and market integrity. Industry: Financial Clearing & Derivatives

The OCC currently has 39 open roles on FindRole.

Listed pay typically runs $123,100–$181,050 across 28 roles with salary data.

Most-posted roles

View all roles at The OCC

At a glance

TL;DR · Associate Principal, Data Analytics Engineering

Role Posting Log in to save

The Associate Principal, Data Analytics Engineering joins the team to expand analytics capabilities by making data accessible and usable across the organization. This role involves designing and building an internal analytics data warehouse, maintaining extract, load, and transform processes, and developing batch process data ingestion frameworks. The individual will build data models, tune warehouse optimizations, and manage access controls to meet governance needs. Key technologies include AWS cloud hardware, Terraform, Ansible, Python, shell programming, and SQL for ETL pipelines. The role requires implementing DevOps practices using Docker, Jenkins, and JFrog Artifactory, while managing secrets with HashiCorp Vault and orchestrating applications via Automic UC4 and Apache Airflow. The work focuses on solving complex analytical challenges and providing accurate, business-oriented datasets for downstream analysis and dashboard development.

Skills

AWS Terraform Ansible Python SQL Docker Jenkins Apache Airflow HashiCorp Vault JFrog Artifactory ETL Shell Programming Data Modeling Automic UC4 Configuration as Code

What you'll do

  • Design and build the internal analytics data warehouse and maintain supporting ETL processes.
  • Develop a batch process data ingestion framework for extracting data from systems to target locations.
  • Build data models to ensure information is available for downstream analysis and dashboard development.
  • Provision AWS cloud hardware and software using IaC tools like Terraform and Ansible.
  • Build SQL ETL pipelines using Python frameworks, data modeling, and shell programming.
  • Implement DevOps practices including Docker containerization and Jenkins CI pipelines.
  • Orchestrate data-intensive applications using tools like Automic UC4 and Apache Airflow.
  • Create documentation and testing to ensure data accuracy and platform usability.

What we're looking for

  • Master’s degree in data science, analytics, or a related field.
  • At least two years of experience as a data analyst, data analytics associate, or related role.
  • Experience using Terraform and Ansible to provision AWS cloud hardware and software.
  • Experience using Python frameworks, data modeling, shell programming, and configuration as code to build SQL ETL pipelines.
  • Experience implementing DevOps practices using Docker for containerization and Jenkins and JFrog Artifactory for CI pipelines.
  • Experience integrating services with HashiCorp Vault and orchestrating applications with Automic UC4 and Apache Airflow.

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