Associate Principal, Data Analytics Engineering

theocc; United States; Hybrid; USD 124,000 - 141,000; Full time

Benefits offered by this job

Telecommuting up to 40%

Benefits package

Job summary

The Options Clearing Corporation (OCC) is seeking a data engineer to expand analytics capabilities, design and build our internal analytics data warehouse, and maintain ETL processes for reliable data delivery.

You will work with the Data Platform and DBAs to implement IaC with Terraform/Ansible, Python-based pipelines, and CI/CD with Jenkins, while promoting self‑service analytics and data literacy across the business.

Qualifications

• Master's degree in data science or analytics and two years of experience in data analytics.
• Experience building and maintaining data warehouses and ETL pipelines for analytics.
• Strong understanding of Python-based data processing, SQL, and data modeling.

Responsibilities

• Expand OCC's analytics capabilities across the organization.
• Design and build internal analytics data warehouse and ETL processes.
• Develop data models for analytics warehouse for downstream use (analysis, dashboards).
• Collaborate with DBAs to implement access controls and governance.
• Create documentation and testing to ensure data accuracy and understandability.
• Promote self-service analytics and data literacy across business users.

Skills

Terraform

Ansible

Python frameworks

SQL ETL pipelines

Education

Master's degree in data science

Tools

Jenkins

JFrog Artifactory

Apache Airflow

HashiCorp Vault

Job description

Duties

Expand OCC's analytics capabilities by making data accessible and usable to analysts throughout the organization. Act as an active contributor to the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. Become an expert on OCC's data sets and support teams across the organization in successfully harnessing this data. Drive the team responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions, as well as collaborating with team members in defining and owning processes for developing and maintaining our analytics platform to meet the company's security and IT standards. Design and implement cloud data warehouse infrastructure for internal facing analytics in collaboration with OCC's Data Platform and other teams. Develop a batch process data ingestion framework for extraction from systems and loading to target location(s). Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and dashboard development. Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes. Collaborate with DBAs to design access controls around our analytics warehouse to meet business and internal governance needs. Create documentation and testing to ensure data is accurate and easily understandable. Use IaC tools like Terraform and Ansible to provision AWS cloud hardware and software, enabling teams to perform model development and run backtesting. Leverage Python frameworks, data modeling, shell programming and configuration as code to build SQL ETL (Extract Transform Load) pipelines to serve accurate business-oriented datasets to business users. Implement DevOps practices like containerizing app code with Docker and Continuous Integration pipelines with tools like Jenkins and JFrog Artifactory to ensure high quality code. Integrate services securely with HashiCorp Vault to manage secrets, and orchestrate data intensive applications with orchestrators like Automic UC4 and Apache Airflow. Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources. Discover and share best practices for data and analytics engineering with members of the team. Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure. Assist analysts in solving their analytics questions/challenges. Up to 40% telecommuting permitted. OCC offers a standard benefits package.*This position qualifies for The Options Clearing Corporation's Employee Referral Program.*

Education & Experience Required

Master's degree in data science, analytics, or related and two (2) years of experience as a data analyst, data analytics associate, or related

Special Skills Required

Must have work experience with each of the following: 1) Use IaC tools like Terraform and Ansible to provision AWS cloud hardware and software, enabling teams to perform model development and run backtesting; 2) Leverage Python frameworks, data modeling, shell programming and configuration as code to build SQL ETL (Extract Transform Load) pipelines to serve accurate business-oriented datasets to business users; 3) Implement DevOps practices like containerizing app code with Docker and Continuous Integration pipelines with tools like Jenkins and JFrog Artifactory to ensure high quality code; and 4) Integrate services securely with HashiCorp Vault to manage secrets, and orchestrate data intensive applications with orchestrators like Automic UC4 and Apache Airflow. Up to 40% telecommuting permitted.

Salary

$124,400-$140,500

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these componen