Data EngineerSouthern Arkansas University • Warner Robins, Georgia, United States
Data Engineer
Southern Arkansas University
- Warner Robins, Georgia, United States
- Warner Robins, Georgia, United States
À propos
design resilient ETL/ELT pipelines and data contracts
to ensure datasets are analytics- and ML-ready. You’ll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale.
Qualifications
Background in computer science, data engineering, or information systems
Proficiency in Python, pandas, and SQL
Hands‑on experience with databases like PostgreSQL or SQLite
Understanding of distributed data processing with Spark or Duck DB
Experience orchestrating workflows with Airflow or similar tools
Comfortable with common data formats such as JSON, CSV, and Parquet
Passion for schema design, data contracts, and version control with Git
Drive to build pipelines that enable reliable analytics and ML workflows
Primary Goal of This Role To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems.
What You’ll Do
Build and maintain ETL/ELT pipelines with a focus on scalability and resilience
Validate and enrich datasets to ensure they’re analytics- and ML-ready
Manage schemas, versioning, and data contracts to maintain consistency
Work with PostgreSQL/SQLite, Spark/Duck DB, and Airflow to manage workflows
Optimize pipelines for performance and reliability using Python and pandas
Collaborate with researchers and engineers to ensure data pipelines align with product and research needs
Why This Role Is Exciting
You’ll create the data backbone that powers cutting‑edge AI research and applications
You’ll work with modern data infrastructure and orchestration tools
You’ll ensure reproducibility and reliability in high‑stakes data workflows
You’ll operate at the intersection of data engineering, AI, and scalable systems
Pay & Work Structure
You’ll be classified as an hourly contractor
Paid weekly via Stripe Connect, based on hours logged
Part‑time (20–30 hour/week) with flexible hours—work from anywhere, on your schedule
Weekly bonus of
$500–$1000 USD
per 5 tasks
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Compétences linguistiques
- English
Avis aux utilisateurs
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