AI Data Engineer — Cloud Pipelines, AI & Data Solutions

Delan Associates, Inc; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Delan Associates, Inc is seeking a Data Engineer to build, optimize, and maintain data pipelines, AI solutions, and analytics platforms. The role requires hands-on experience with modern data engineering tools, AI workflows, CI/CD, and version control, collaborating with cross-functional teams to deliver scalable data solutions.

The ideal candidate will have 5+ years in data engineering or related roles, proficiency in Java, Python, SQL, and PySpark, and experience with Databricks and API

Qualifications

• Must be able to OBTAIN and MAINTAIN a “PUBLIC TRUST”.
• A bachelor’s degree is required.
• FIVE (5) years of experience in data engineering, software development, or related roles.
• Experience with Co-Pilot and CodeX., and AI methods.
• Experience presenting status and work products.
• Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
• Experience designing and developing data pipelines and ETL processes.
• Extensive experience with relational and NoSQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.
• Experience working with Databricks.
• Experience with CI/CD tools and pipelines, such as GitHub.
• Experience operating in Agile development environments.

Skills

Data engineering

Python

Java

SQL

PySpark

API development

CI/CD

GitHub

Agile

Cloud data platforms

Education

Bachelor's degree

Tools

Databricks

Docker

Kubernetes

GitHub

Azure Functions

Job description

Delan Associates, Inc is seeking a Data Engineer to build, optimize, and maintain data pipelines, AI solutions, and analytics platforms. The role requires hands-on experience with modern data engineering tools, AI workflows, CI/CD, and version control, collaborating with cross-functional teams to deliver scalable data solutions.

The ideal candidate will have 5+ years in data engineering or related roles, proficiency in Java, Python, SQL, and PySpark, and experience with Databricks and API