JR Data Engineer-- Full Performance

Probity Inc.; Chantilly (VA); On-site; USD 100,000 - 140,000; Full time

Job summary

A data engineering company in Chantilly is seeking a highly motivated Data Engineer. The role involves designing and maintaining data pipelines, collaborating with development teams to deliver reliable data solutions. Candidates must have a Master’s degree in a relevant field, along with active TS/SCI clearance and experience with AWS, Python, and SQL. The position offers opportunities for growth and impactful work in transforming data into actionable insights.

Qualifications

• 4+ years of experience developing or maintaining data pipelines in collaboration with development teams.
• 2+ years of hands-on experience with Python.
• Familiarity with SPARC environments and relational databases including PostgreSQL, Oracle, or MySQL.

Responsibilities

• Design and maintain data pipelines for reliable data solutions.
• Develop and optimize SQL queries.
• Operate within AWS environments to support data infrastructure.

Skills

AWS

Python

SQL

Data Pipeline Development

Collaboration with Development Teams

Communication Skills

Linux

PostgreSQL

Oracle

MySQL

Education

Master’s degree in Computer Science, Information Systems, or Engineering

Tools

Apache NiFi

Apache Airflow

Job description

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI

Position Code:

20-SO0312-1

Position Description:

Seeking a highly motivated, self‑directed professional for a Data Engineering role. In this role, you will design and maintain data pipelines, collaborate closely with development teams, and help deliver reliable data solutions that enable teams to transform data into actionable insights.

Required Qualifications:

• Active TS/SCI with Polygraph clearance.
• A Master’s degree in Computer Science, Information Systems, Engineering, or additional years of specialized experience in a scientific or technical discipline.
• Build and maintain reliable data pipelines that support ingestion, transformation, and delivery of large datasets
• Partner with software developers and engineering teams to integrate data solutions into existing systems and applications
• Develop and optimize SQL queries to support data retrieval, transformation, and analysis
• Work with relational databases such as PostgreSQL, Oracle, and MySQL to store, manage, and access data
• Develop scripts and automation using Python, Linux, and shell scripting to support data processing tasks
• Operate within AWS environments to support cloud‑based data infrastructure and workflows
• Prepare and structure data outputs in usable formats for analysis and downstream systems, including JSON
• 4+ years of experience developing or maintaining data pipelines in collaboration with development teams
• 2+ years of hands‑on experience with Python
• Experience working with AWS cloud services
• Familiarity with SPARC environments and relational databases including PostgreSQL, Oracle, or MySQL
• Demonstrated experience writing and maintaining SQL queries
• 2+ years of experience working in Linux environments, including shell scripting An SAP NS2 Company
• Experience preparing and managing structured and unstructured datasets, including JSON formats

Desired Qualifications:

• Excellent communication and collaboration skills.
• Experience with workflow orchestration tools such as Apache NiFi or Apache Airflow
• 2+ years of development experience with Java or Scala
• Experience managing or supporting EMR or SPARC clusters
• Background in performance tuning and optimization of data pipelines or large data systems
• 2+ years of experience working with Hive or Iceberg
• Familiarity with implementing cloud‑based security practices
• Experience using ACM processes for code deployment