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# Data Engineer-Mid

- **Company:** Everforth Apex
- **Location:** Jacksonville, NC, United States
- **Experience:** Experienced
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Database, Information Systems, Databases, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Distributed Data Store, Elasticsearch, R (Programming Language), Apache Hive, Python (Programming Language), PostgreSQL, SQL Databases, Scripting, Google Cloud, Apache Spark, Information Technology, Apache Kafka, Data Pipelines, Databricks, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/0dbf9b07-a16b-4da1-a743-5b13359ee676

## About the Role

Education: Bachelor's degree in Data Engineering, Computer Science, Information Systems, or a related field.

Experience: 5-8 years of related experience. Internship or academic project experience is accepted.

Technical Skills: Foundational experience with Python, SQL, or similar scripting languages. Understanding of data warehousing concepts and cloud technologies (AWS, Azure, or Google Cloud Platform). Familiarity with Databricks, Spark, or similar distributed data tools.

Preferred Qualifications

 * Cloud foundational certifications are preferred.

## Description

This position supports a key program on-site. The role involves performing regular maintenance of Postgres and Elasticsearch databases to ensure high uptime, exploring and proposing improvements to the current database setup, and integrating new datasets from various sources using Python, SQL, and Bash. This is a temporary position for approximately 90 days., * Design, implement, and maintain reliable and scalable SQL databases.

 * Collaborate with cross-functional teams to translate client requirements into solutions using programming languages like Python, Java, Kafka, Hive, R, or Storm.
 * Oversee cloud-based database platforms and maintain security controls.
 * Develop and maintain basic ETL/ELT pipelines to support mission-critical analytics.
 * Assist in integrating, cleaning, and validating data from structured and unstructured sources.
 * Contribute to data modeling, documentation, and process improvement initiatives.