Data Engineering, Visualization Specialist

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of Illumination Works

Illumination Works

51 - 200 employees

Founded 2006

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Illumination Works is a company focused on digital transformation and data innovation, specializing in solving complex data challenges and providing actionable insights for better decision-making. The firm excels in data engineering, data science, and software and cloud engineering, offering a range of solutions from machine learning and natural language processing to data visualization and predictive analytics. By prioritizing user-centric design and innovation, Illumination Works helps organizations harness the power of their data to drive efficiency and unlock new business opportunities.

📋 Description

• Design, develop, and maintain interactive dashboards, reports, and data visualizations • Lead data analytics use cases from requirements gathering and solution design through development, testing, deployment, and customer adoption • Partner with customers to understand business challenges and translate requirements into technical solutions • Perform exploratory data analysis to identify trends, anomalies, and operational improvement opportunities • Support development and optimization of data pipelines, transformations, and analytical datasets • Design and maintain scalable data models and workflows for business intelligence and advanced analytics • Coordinate use case activities, priorities, timelines, and deliverables • Communicate progress, risks, and recommendations • Ensure data quality, accuracy, performance, and usability • 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 • Identify opportunities to leverage automation, AI, and reusable components • Support teammates across technical and functional areas

🎯 Requirements

• Advanced proficiency in at least one of Tableau, Qlik, or Power BI, with ability to learn additional platforms • Hands-on experience with Databricks, including data preparation, transformation, analysis, and pipeline development • Strong proficiency in Python, SQL, and PySpark • Experience with data lakes, data warehouses, data modeling, and modern data architectures • Intermediate-level analytics project management experience • Ability to independently lead a use case, coordinate activities, manage priorities, and deliver results • Experience engaging directly with customers to gather requirements and translate business needs into analytical solutions • Strong analytical, problem-solving, and troubleshooting skills • Self-motivated, adaptable, and willing to learn new technologies, tools, and business domains • Collaborative, team-first mindset • Excellent verbal and written communication skills • B.S. in Computer Science, Data Analytics, Information Technology, Engineering, Mathematics, or a related technical field • Minimum of five (5) 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 US Citizenship • Must successfully pass a drug test and background screen • Desired: experience with multiple visualization platforms, Microsoft Azure, enterprise data platforms, Delta Lake, medallion architecture, modern data lakehouse practices, reusable analytical solutions, automated data workflows, Generative AI, AI-assisted analytics tools, Department of Defense/sustainment/logistics/industrial operations analytics, mentoring, and technical leadership

🏖️ Benefits

• Market-competitive salary • Generous PTO package • Comprehensive medical, dental, vision, and life insurance plans • 401K • Short-term and long-term disability insurance • Fun and engaging culture • Training opportunities to stay up to speed on the latest technologies

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