Hybrid AI/ML Data Engineer: Secure Data Pipelines

Aimlroles; Washington; Presencial; USD 120.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

15 PTO days

11 paid holidays

Medical, dental, vision insurance

401k with employer match

Annual training budget

Descripción de la vacante

Swingtech is hiring an AI/ML Data Engineer to design and sustain secure data pipelines, data products, and governance controls for DOL AI/ML solutions. You will work with structured, semi-structured, and unstructured data for analytics, document intelligence, and production AI applications.

Responsibilities include ETL/ELT development, data ingestion pipelines with OCR, embeddings, and retrieval workflows, plus data-quality and lineage management.

Formación

• Bachelor’s degree in a technical field.
• 4+ years in data engineering, analytics engineering, or ETL/ELT.
• Strong SQL and Python development skills.
• Experience with data modeling, metadata, data quality, data lineage, and monitoring.

Responsabilidades

• Design, build, test, deploy, and maintain scalable data pipelines for batch, streaming, and near-real-time workloads.
• Integrate data sources, APIs, file stores, databases, data lakes, and data warehouses.
• Develop ETL/ELT pipelines for extraction, transformation, loading and validation.

Conocimientos

SQL

Python

Data pipelines

Data governance

Educación

Bachelor’s degree in CS/EI/related

Herramientas

AWS/Azure/GCP

Descripción del empleo

Swingtech is hiring an AI/ML Data Engineer to design and sustain secure data pipelines, data products, and governance controls for DOL AI/ML solutions. You will work with structured, semi-structured, and unstructured data for analytics, document intelligence, and production AI applications.

Responsibilities include ETL/ELT development, data ingestion pipelines with OCR, embeddings, and retrieval workflows, plus data-quality and lineage management.