Data Engineer

Overview

On Site
$60 - $70
Contract - W2

Skills

Big Data
Python
Java
Scala
SQL
Spark
Hadoop
Kafka
AWS
Azure
GCP
PostgreSQL
MySQL
Oracle
Data Modeling
ETL
Kibana
Data Governance
AI/ML

Job Details

Title: Data Engineer
Location: Scott AFB, Illinois (5 days onsite)
Duration: Contract to Hire (6 months)
Client: DISA (Defense Information Systems Agency

Visa Requirements: with active Secret Clearance

Total Experience Required: 10+ Years

Top Must-Have Skills:

  • Big Data Engineering

  • Python, Java, or Scala programming

  • SQL and database technologies (PostgreSQL, MySQL, Oracle)

  • Hadoop, Spark, Kafka

  • Cloud platforms (AWS, Azure, or Google Cloud Platform)

Nice-to-Have Skills:

  • Data visualization (Kibana)

  • AI/ML exposure

  • Data governance, quality, and security best practices

  • Certifications (AWS Data Analytics, Google Data Engineer)

Job Description (Condensed):
This role involves designing, developing, and maintaining data pipelines, ETL processes, and scalable data systems supporting DISA enterprise analytics. The engineer will collaborate with analysts and data scientists to deliver high-quality data solutions, implement models, ensure optimized data workflows, and document processes.

Summary:
Experienced Data Engineer with over 10 years in building scalable Big Data pipelines, working on Hadoop/Spark, and programming in Python, Java, or Scala. Skilled in cloud environments and ETL optimization, with hands-on experience in data governance and secure systems for government clients.

Skillset:
Big Data Engineering | Python | Java | Scala | SQL | Spark | Hadoop | Kafka | AWS | Azure | Google Cloud Platform | PostgreSQL | MySQL | Oracle | Data Modeling | ETL | Kibana | Data Governance | AI/ML Concepts

5 Lines of Roles & Responsibilities:

  1. Design and maintain scalable data pipelines and ETL workflows.

  2. Collaborate with cross-functional teams for data integration and analytics.

  3. Develop efficient schemas, models, and storage strategies.

  4. Optimize and troubleshoot data workflows for performance and reliability.

  5. Document data engineering processes and ensure compliance with standards.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.