Data Engineering & Visualization Specialist

8121f84b-e5e9-4dd2-8d6b-05ce4c46080b• US,

1d•Remote

About The Position

Illumination Works is seeking an experienced Data Engineering & Visualization Specialist to help organizations turn complex data into meaningful business insights. The position is part of a collaborative data science team that delivers data engineering, advanced analytics, visualization, machine learning, and intelligent automation solutions across industries including sustainment, logistics, industrial modernization, acquisition, cybersecurity, retail, and manufacturing. Projects range from analytics that produce actionable insights to enterprise data platforms and intelligent applications. The role combines technical implementation, customer engagement, and project coordination. The specialist independently leads analytics use cases from requirements gathering through delivery, develops business intelligence and visualization solutions, and contributes to modern data pipelines and analytical datasets. The position is remote and requires or requires willingness to obtain a Secret Clearance; obtaining the clearance requires U.S. citizenship. Candidates must also successfully pass a drug test and background screen.

Requirements

Advanced proficiency in at least one of Tableau, Qlik, or Power BI, with strong data visualization and business intelligence expertise and the ability to learn additional platforms.
Hands-on Databricks experience, including data preparation, transformation, analysis, and pipeline development.
Strong proficiency in Python, SQL, and PySpark for data engineering and analytical workflows.
Experience with data lakes, data warehouses, data modeling, and modern data architectures.
Intermediate-level analytics project management experience, including independently leading use cases, coordinating activities, managing priorities, and delivering results.
Experience engaging directly with customers to gather requirements, communicate technical concepts, and translate business needs into analytical solutions.
Strong analytical, problem-solving, and troubleshooting skills.
Self-motivated and adaptable, with willingness to learn new technologies, tools, and business domains.
Collaborative, team-first mindset and willingness to support team and customer success beyond primary responsibilities.
Excellent verbal and written communication skills.
Bachelor of Science in Computer Science, Data Analytics, Information Technology, Engineering, Mathematics, or a related technical field.
At least five years of relevant experience in data engineering, analytics, business intelligence, or a related field.
Must have or be willing to obtain Secret Clearance; this requires U.S. citizenship.
Must successfully pass a drug test and background screen.

Nice To Haves

Experience with multiple visualization platforms, particularly Tableau, Qlik, and Power BI.
Experience with Microsoft Azure cloud environments and enterprise data platforms.
Familiarity with Delta Lake, medallion architecture, and modern data lakehouse practices.
Experience developing reusable analytical solutions and automating data workflows.
Familiarity with Generative AI and AI-assisted analytics tools.
Experience supporting Department of Defense, sustainment, logistics, or industrial operations analytics.
Experience mentoring teammates and providing technical leadership within a collaborative delivery team.

Responsibilities

Design, develop, and maintain interactive dashboards, reports, and visualizations using Tableau, Qlik, Power BI, or similar platforms.
Lead individual analytics use cases from requirements gathering and solution design through development, testing, deployment, and customer adoption.
Work directly with customers to understand business challenges, identify analytical opportunities, and translate requirements into technical solutions.
Perform exploratory data analysis to identify trends, anomalies, and opportunities for operational improvement.
Support development and optimization of data pipelines, transformations, and analytical datasets using Databricks, Python, SQL, and PySpark.
Design and maintain reliable, scalable data models and workflows for business intelligence and advanced analytics.
Coordinate use case activities, priorities, timelines, and deliverables, communicating progress, risks, and recommendations.
Ensure data quality, accuracy, performance, and usability across analytical solutions.
Present analytical findings, dashboard demonstrations, and technical recommendations to technical and non-technical audiences.
Collaborate with data engineers, data scientists, software developers, and business stakeholders to deliver integrated solutions.
Identify opportunities to use automation, AI, and reusable components to improve delivery efficiency and customer outcomes.
Support teammates across technical and functional areas to help achieve team success.