Data Engineer: Visual Analytics & Big Data (Mid)

Cintel Inc; Huntsville (AL); On-site; USD 90,000 - 130,000; Full time

Job summary

Cintel Inc. in Huntsville, AL seeks a Data Engineer (Mid) to design and deliver advanced visual analytic applications for desktop and web platforms.

The role involves transforming streams of structured and semi-structured data into actionable intelligence for mission-critical operations, using open-source, COTS, and GOTS tools. The candidate will work with cross-functional teams to optimize performance and integrate new data warehouse architectures, leveraging Java, AWS, ETL, Spark/Scala,

Qualifications

• Active Top Secret (TS) security clearance required.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 6+ years of data engineering and analytics experience.
• Proficiency with Java, AWS, ETL, Spark/Scala, SQL/PLSQL, Postgres, NiFi, Informatica, Linux, and data pipelines.

Responsibilities

• Design, develop, and deliver advanced visual analytic applications for desktop and web platforms.
• Develop data analytics solutions enabling bulk analysis of relational and semi-structured data.
• Utilize graphics and data visualization to support intelligence workflows.
• Design enterprise database systems with security and operational standards.
• Construct and maintain large-scale relational databases.
• Integrate new systems with existing data warehouse architectures.
• Optimize performance, scalability, and functionality of analytics solutions.
• Collaborate with cross-functional teams to ensure successful delivery.

Skills

Data engineering

Problem solving

Collaboration

Education

Bachelor’s degree in CS/Engineering/IS

Tools

Java

AWS

ETL

Spark/Scala

SQL/PLSQL

Postgres

NiFi

Informatica

Linux

Data pipelines

Job description

Cintel Inc. in Huntsville, AL seeks a Data Engineer (Mid) to design and deliver advanced visual analytic applications for desktop and web platforms.

The role involves transforming streams of structured and semi-structured data into actionable intelligence for mission-critical operations, using open-source, COTS, and GOTS tools. The candidate will work with cross-functional teams to optimize performance and integrate new data warehouse architectures, leveraging Java, AWS, ETL, Spark/Scala,