Azure Data Engineer - Analytics & AI (Onsite)

Ampcus, Inc; Fort Worth (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Ampcus, Inc in Fort Worth, TX seeks a data engineering professional to design, build, and support analytics solutions on Azure. You will work with source data teams and product owners to enable data-driven decisions and scalable data pipelines.

Ideal candidates have deep expertise in SQL, Python, and cloud data services, with strong CI/CD and DevOps experience, and a proven ability to mentor teammates in a fast-paced, airline-focused data environment.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related technical discipline.
• 3 years software/data engineering experience in agile DevOps environments.
• 3 years data analytics experience using SQL.
• 3 years cloud development and data lake experience (Microsoft Azure preferred).

Responsibilities

• Design, implement, and support analytics solutions delivering actionable insights.
• Develop data migration and data engineering solutions using Azure services.
• Contribute to full lifecycle: design, cloud engineering, ingestion, modeling, testing, CI/CD, deployment.
• Provide technical leadership and collaboration within a team as well as independently.
• Be part of a DevOps team owning and supporting their product.
• Implement batch and streaming data pipelines using cloud technologies.
• Lead coding standards, best practices, and data privacy guidelines.
• Mentor others to build multi-functional teams.

Skills

Azure Data Factory

Azure Databricks

SQL

Python

Data Modeling

CI/CD

Power BI

Education

Bachelor's degree in Computer Science/Engineering/IT

Azure Certification (preferred)

Tools

Teradata

Cassandra

MongoDB

Oracle

SQL Server

ADLS

Snowflake

Job description

Ampcus, Inc in Fort Worth, TX seeks a data engineering professional to design, build, and support analytics solutions on Azure. You will work with source data teams and product owners to enable data-driven decisions and scalable data pipelines.

Ideal candidates have deep expertise in SQL, Python, and cloud data services, with strong CI/CD and DevOps experience, and a proven ability to mentor teammates in a fast-paced, airline-focused data environment.