Senior Data Ingestion Engineer for AI/ML Pipelines

Synechron; Charlotte (NC); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Global office network

Paid annual leave

Job summary

Synechron is seeking a Data Engineer – Data Ingestion to design, build, and support scalable ingestion, processing, indexing, and retrieval pipelines powering AI and analytics solutions. You will work on ETL/ELT development, API integrations, search technologies, and cloud-native data platforms.

The role requires 4+ years in data engineering, experience with AI/ML workloads, vector search, and cloud platforms. The team collaborates with Data Scientists and ML Engineers in a global environment.

Qualifications

• Bachelors or higher in Computer Science, IT, Data Engineering, or related field.
• 4+ years of experience in Data Engineering, Data Integration, or Platform Engineering.
• Experience with AI/ML, Search, or Generative AI workloads.
• Knowledge of RAG architectures, vector search, and document indexing frameworks.
• Cloud exposure to AWS/Azure/GCP.

Responsibilities

• Design, develop, and maintain data ingestion pipelines for structured, semi-structured, and unstructured data sources.
• Build scalable ETL/ELT workflows to collect, transform, validate, and load data into enterprise data platforms.
• Develop and support document processing pipelines, including data extraction, chunking, metadata enrichment, and indexing.
• Create and optimize embedding generation pipelines to support AI and Retrieval Augmented Generation (RAG) applications.
• Build and maintain search and retrieval systems using ElasticSearch, Solr, and Vector Databases.
• Develop APIs and integration services using FastAPI and Python-based frameworks.
• Implement data quality checks, validation frameworks, and monitoring mechanisms to ensure data reliability.
• Optimize pipeline performance, indexing strategies, and database queries for large-scale workloads.
• Collaborate with Data Scientists, ML Engineers, and Application Development teams to support AI and analytics initiatives.
• Automate deployments using CI/CD pipelines and support containerized applications in OpenShift environments.
• Troubleshoot production issues and ensure high availability, scalability, and operational excellence.

Skills

Python

SQL

ETL development

FastAPI

API Development

Data Modeling

Data Quality

CI/CD

Containerization

OpenShift

Education

Bachelor's degree in Computer Science or related field

Tools

MongoDB

Oracle Database

ElasticSearch

Jenkins

Job description

Synechron is seeking a Data Engineer – Data Ingestion to design, build, and support scalable ingestion, processing, indexing, and retrieval pipelines powering AI and analytics solutions. You will work on ETL/ELT development, API integrations, search technologies, and cloud-native data platforms.

The role requires 4+ years in data engineering, experience with AI/ML workloads, vector search, and cloud platforms. The team collaborates with Data Scientists and ML Engineers in a global environment.