Remote Data Scientist & ETL Engineer for Data Warehouse

Paycom; Spring (TX); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Brillient Corporation seeks a Data Scientist / ETL Engineer to support an IRS data warehousing initiative in a hybrid Spring, TX role. Design, build, and maintain ETL processes moving data into the CDW while applying statistical and ML techniques.

You will collaborate with data architects, analysts, data quality specialists, and stakeholders to ensure data accuracy, quality, and actionable insights, documenting workflows and models in Jupyter and SQL environments.

Qualifications

• Bachelor's degree in Data Science, CS, Statistics or related field.
• US citizenship required.
• Ability to obtain Public Trust clearance.
• 8+ years of ETL, data science, analytics or ML experience.
• Strong SQL ETL experience focusing on load, select, and update commands.
• Proficiency in Linux/Unix, Sybase IQ, and scripting.
• Experience with Postgres and Postgres SQL scripting.
• Strong Python experience for ETL and ML (Pandas, NumPy, Jupyter).
• Experience building and evaluating ML models with scikit-learn or similar.

Responsibilities

• ETL design and development for data loading into the CDW.
• Data science and analytics using Pandas and NumPy.
• Develop, evaluate, and maintain ML models with scikit-learn.
• Optimize ETL processes and monitor jobs; ensure data quality.
• Collaborate with data architects, analysts, and stakeholders.
• Document ETL processes, workflows, and models.
• Support data availability and analytical value for stakeholders.

Skills

ETL development

SQL

Python

Linux/Unix

Data science

Machine learning

PostgreSQL

Sybase IQ

OpenShift/Kubernetes

SAS

Education

Bachelor's degree in Data Science, CS, Statistics

Tools

PostgreSQL

Sybase IQ

Python

Jupyter Notebook

OpenShift/Kubernetes

Git

VS Code

Job description

Brillient Corporation seeks a Data Scientist / ETL Engineer to support an IRS data warehousing initiative in a hybrid Spring, TX role. Design, build, and maintain ETL processes moving data into the CDW while applying statistical and ML techniques.

You will collaborate with data architects, analysts, data quality specialists, and stakeholders to ensure data accuracy, quality, and actionable insights, documenting workflows and models in Jupyter and SQL environments.