Data Engineer

PENTAGON TECHNOLOGY INC.

Virginia City, VA, United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Artificial Intelligence Data Analysis Databases Extract Transform Load (ETL) Data Transformation Relational Databases Database Queries Database Schema Python (Programming Language) PostgreSQL Machine Learning MySQL

+8 more

NumPy SQL Databases Unstructured Data Jupyter Notebook Pandas Scikit Learn HuggingFace Api Design

Job description

Design, develop, and maintain scalable ETL pipelines.
Collect, clean, transform, and organize structured and unstructured data.
Perform exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.
Prepare datasets for AI and machine-learning initiatives in partnership with research, data science, and engineering teams.
Develop and maintain data models, database schemas, and data-storage solutions.
Write and optimize SQL queries for extraction, transformation, and analysis.
Maintain data quality, integrity, consistency, and security across pipelines and databases.
Automate validation, reporting, and recurring data-processing workflows.
Document pipelines, processes, and technical decisions, and troubleshoot data or pipeline failures.

Requirements

Strong Python and SQL proficiency.
Hands-on experience designing and maintaining ETL pipelines and conducting exploratory data analysis.
Experience with Pandas and NumPy, relational databases including PostgreSQL and MySQL, data modeling, database schemas, and data transformation.
Ability to work with structured and unstructured datasets while ensuring accuracy, quality, and reliability.
Familiarity with Jupyter Notebook, VS Code, or PyCharm.
Strong analytical, problem-solving, and communication skills.
Exposure to AI and machine-learning workflows is valued, including scikit-learn, Hugging Face Transformers, the OpenAI API or similar platforms, AI/ML dataset management, and collaboration with researchers or data scientists.

Benefits & conditions

Listed compensation is $140, 000 to $180, 000 per year.
The stated national base-salary range is $100, 000 to $150, 000 USD.
Employees are eligible for equity compensation and may receive performance-based bonuses, subject to role and company policy.
Benefits include up to 100% reimbursement of health-insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits for a high-performing remote-first workforce.