Senior AI Data Engineer for GenAI & Cloud Pipelines

Credence; Bath Township (OH); Vor Ort; USD 115.000 - 155.000; Vollzeit

Benefits dieser Stelle

Health Care Plan

401k

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Wellness Resources

Zusammenfassung

Credence is seeking a Senior AI Data Engineer to anchor our AI and Automation practice. You will design, build, and deploy data-driven AI solutions that support federal missions, spanning data lake/warehouse, ETL pipelines, and vector databases.

You will collaborate with data engineers, software engineers, and data scientists to deliver cloud-native capabilities, automate model deployment, and ensure reliability and scalability in production environments.

Qualifikationen

• 7+ years of hands-on data/AI/ML solution delivery.
• Experience with ETL/ELT, data lakes/warehouses, and cloud platforms.
• Familiarity with vector databases and AI APIs for LLMs.

Aufgaben

• Data Integrations for Generative AI & LLM usage; build data pipelines.
• Data Lake & Warehouse engineering; medallion architecture for quality.
• Database management across SQL/NoSQL; performance tuning.
• Collaborative engineering with data/softEng and data scientists.
• Cloud enablement; IaC, CI/CD pipelines, container orchestration.
• Production monitoring and optimization; reliability and scale.
• Documentation and adherence to guidelines; mentorship and reviews.

Kenntnisse

AI Data Engineering

Generative AI

Data Pipelines

ETL/ELT

Cloud Platforms

OpenSearch/Elasticsearch

Kafka

Python

CI/CD

Communication

Ausbildung

Bachelor’s or Master’s in Computer Science, Data/AI/ML

Tools

OpenSearch

Kafka

Bedrock

Glue

DataBricks

Snowflake

AWS S3

RDS

EBS

Glacier

Terraform

AWS CDK

CloudFormation

GitLab

GitHub

Jenkins

Jobbeschreibung

Credence is seeking a Senior AI Data Engineer to anchor our AI and Automation practice. You will design, build, and deploy data-driven AI solutions that support federal missions, spanning data lake/warehouse, ETL pipelines, and vector databases.

You will collaborate with data engineers, software engineers, and data scientists to deliver cloud-native capabilities, automate model deployment, and ensure reliability and scalability in production environments.