Good AI
Data Engineer
Skills
6 months ago
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Important information
Contract type:
Permanent
Location:
Indian, WV 25177, USA
Work mode:
Onsite
Published on:
7 August 2026
What they need
Specialization: Data Processing & Pipelines, Internal & Client Focus
Stack: Python, SQL, Apache Airflow, Spark, ETL/ELT Tools, Cloud Data Warehouses (BigQuery, Redshift)
Role Summary: Design and maintain robust data pipelines for timely, accurate delivery of datasets for internal and client use cases.
Key Responsibilities
- Build and manage ETL/ELT data pipelines.
- Integrate diverse data sources into centralized repositories.
- Optimize database performance and ensure data quality.
- Collaborate with AI/ML teams to provide clean, usable datasets.
Experience Requirements
- 2–3+ years in data engineering or related roles.
- Proficiency in SQL and Python.
- Understanding data modeling and pipeline orchestration tools.
Preferred
- Experience with real-time data streaming frameworks (Kafka, Flink).
- Familiarity with cloud and on-premises data environments.
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