Data Engineer – OrcaWorks AI

Orcaworks; Atlanta (GA); On-site; USD 70,000 - 90,000; Full time

Job summary

OrcaWorks is seeking an Entry-level Data Engineer to contribute to innovative AI systems. You will design and maintain data pipelines, collaborate across teams, and work with modern ETL tools like Airbyte and Prefect.

The ideal candidate has a Master’s degree or a Bachelor’s with relevant experience in Computer Science. Proficiency in Python and SQL is essential, along with familiarity with cloud platforms like AWS, GCP, or Azure.

Qualifications

• Master’s degree or Bachelor’s with equivalent experience in a relevant field.
• Proficiency in Python and SQL; experience with PySpark or equivalent ETL frameworks.
• Hands-on experience with tools like Airbyte, Prefect, and DBT.

Responsibilities

• Design, develop, and maintain data pipelines using Airbyte and Prefect.
• Integrate data from structured and unstructured sources using ElasticSearch or Vespa.
• Implement data validation, transformation, and storage solutions using modern ETL frameworks.

Skills

Python

SQL

ETL Frameworks

Data Governance

Data Security

Education

Master’s degree in Computer Science or related

Tools

Airbyte

Prefect

Vespa

ElasticSearch

Job description

Experience Level

Entry-level (Master’s preferred)

About OrcaWorks AI

At OrcaWorks AI, we’re building next-generation AI systems that empower businesses to make data-driven decisions with intelligence and speed. We’re seeking passionate Data Engineers who love solving real-world data challenges and want to be part of a growing team building cutting-edge AI infrastructure.

Key Responsibilities

• Design, develop, and maintain data pipelines using tools like Airbyte and Prefect to feed AI and machine learning models.
• Integrate data from multiple structured and unstructured sources into unified and queryable layers using ElasticSearch or Vespa.
• Implement data validation, transformation, and storage solutions using modern ETL frameworks.
• Collaborate with AI, LLM, and data science teams to ensure reliable and optimized data flow for model training.
• Support database management, SQLModel, and data governance practices across services.

Required Skills & Qualifications

• Master’s degree (or Bachelor’s with equivalent experience) in Computer Science, Information Systems, or Data Engineering.
• Proficiency in Python and SQL; experience with PySpark or equivalent ETL frameworks.
• Hands-on experience with Airbyte, Prefect, and DBT.
• Familiarity with search and indexing systems like Vespa or ElasticSearch.
• Knowledge of cloud data platforms (AWS, GCP, or Azure) and API integration.
• Strong understanding of data security and applied AI workflows.