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# Data Engineer

- **Company:** Everforth Apex
- **Location:** Parsippany-Troy Hills, NJ, United States
- **Experience:** Expert
- **Salary:** $138,320
- **Contract:** Temporary contract
- **Skills:** Query Performance, Artificial Intelligence, Amazon Web Services, JIRA, Information Engineering, Extract Transform Load (ETL), Github, Graph Database, Python (Programming Language), Machine Learning, NoSQL, SQL Databases, Unstructured Data, Data Ingestion, Sql Optimization, Retrieval-Augmented Generation, Large Language Models, Data Lakes, Pyspark, Data Management, Terraform, Splunk, Dynatrace, Jenkins, Databricks
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/67db6cad-a7ea-48eb-a840-c66a86036cbb

## About the Role

The ideal candidate is a hands-on engineer with strong Databricks, SQL, Python, PySpark, and AWS experience who can contribute across architecture, development, and operational support activities., 8+ years of Data Engineering experience.

 * Strong Databricks experience, including Delta Lake, Workflows, and Databricks SQL.
 * Advanced SQL, Python, and PySpark skills.
 * Experience building enterprise-scale ETL/ELT solutions.
 * AWS cloud platform experience.
 * Strong understanding of data modeling and lakehouse architectures.
 * Experience with GitHub, Jira, and Agile delivery practices.

Preferred Skills

Experience with vector databases, graph databases, or NoSQL technologies.

 * Exposure to AI/ML solutions, RAG architectures, or LLM-related data platforms.
 * Experience with Terraform, Jenkins, Splunk, or Dynatrace.

## Description

Design and develop scalable data ingestion and transformation pipelines.

 * Build and maintain curated datasets for analytics and reporting.
 * Integrate structured and unstructured data from enterprise systems.
 * Optimize Databricks workloads, data models, and query performance.
 * Implement data quality, validation, and monitoring processes.
 * Support analytics and AI initiatives through reliable data engineering practices.
 * Collaborate with analysts, architects, and business stakeholders.