
Data Engineering, Visualization Specialist
Posted Oct 27

Posted Oct 27
This is a fully remote position, open to applicants in United States.
• Design, develop, and sustain interactive dashboards, reports, and data visualizations.
• Lead data analytics initiatives from requirement gathering and solution design through to development, testing, deployment, and customer adoption.
• Collaborate with clients to comprehend business challenges and convert requirements into technical solutions.
• Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for operational improvement.
• Assist in the development and optimization of data pipelines, transformations, and analytical datasets.
• Create and uphold scalable data models and workflows for business intelligence and advanced analytics.
• Coordinate activities related to use cases, including priorities, timelines, and deliverables.
• Communicate updates, risks, and recommendations effectively.
• Ensure the quality, accuracy, performance, and usability of data.
• Present analytical insights, dashboard demonstrations, and technical recommendations to both technical and non-technical audiences.
• Work in partnership with data engineers, data scientists, software developers, and business stakeholders.
• Identify opportunities to utilize automation, AI, and reusable components.
• Provide support to teammates across various technical and functional areas.
• Advanced expertise in at least one of Tableau, Qlik, or Power BI, with a capability to learn additional platforms.
• Practical experience with Databricks, encompassing data preparation, transformation, analysis, and pipeline development.
• Strong skills in Python, SQL, and PySpark.
• Experience with data lakes, data warehouses, data modeling, and contemporary data architectures.
• Intermediate-level experience in analytics project management.
• Ability to independently lead a use case, coordinate activities, manage priorities, and deliver outcomes.
• Experience in directly engaging with customers to gather requirements and convert business needs into analytical solutions.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Self-motivated, adaptable, and eager to learn new technologies, tools, and business domains.
• Collaborative and team-oriented mindset.
• Excellent verbal and written communication skills.
• B.S. degree in Computer Science, Data Analytics, Information Technology, Engineering, Mathematics, or a related technical field.
• A minimum of five (5) years of relevant experience in data engineering, analytics, business intelligence, or a related discipline.
• Must possess or be willing to obtain Secret Clearance; this requires U.S. Citizenship.
• Must successfully complete a drug test and background screening.
• 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.
• 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 keep up with the latest technologies.
Instacart
GEICO
Litmus
Candid
Get handpicked remote jobs straight to your inbox weekly.