Job description
Data Visualization Specialist for HRM INFO LLC's End Client
Anywhere in US - Remote Only.
Skills: Data Engineering or Data Management experience., Qlik, AWS environment (AWS certifications preferred), UI Design and End User Engagement
Security Clearance: TS (T5 investigation closed in past 2 years) or CBP cleared.
Note: This position is entirely remote, but candidates should reside within a reasonable driving distance to Fort Meade, MD (near Washington, D.C.). Priority would still be full scope software engineers or data engineers willing to work on-site full-time in Fort Meade or DC area)
Job Summary
Heavy in UI design and end user engagement initially - so less coding up front, though that will come. Given that, might have more success with titles focused on "design" or "architect" vs software engineers.
Requirements:
5+ years of Data Engineering or Data Management experience.
Strong SQL skills, and ability to identify issues with data.
Experience with Qlik
Experience with PowerBI tools
Understanding of database and database design
Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
Demonstrated experience within an AWS environment (AWS certifications preferred)
Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics is preferred.
Must Have
Only TS (T5 investigation closed in past 2 years) or CBP cleared Candidates will qualify for this role.
Data Engineering or Data Management Experience (5+ years): Significant experience in the field of Data Engineering or Data Management, showcasing a strong foundation in handling and processing data.
Strong SQL Skills
Hands-on experience with Qlik and PowerBI tools, showcasing the ability to utilize these tools for data visualization, analysis, and decision-making purposes.
Demonstrated experience in cleaning, managing, and optimizing data for performance, particularly handling large volumes of data efficiently.
AWS Environment Experience
Heavy Experience in UI Design and User Engagement
Nice to Have
Experience with machine learning, statistical modeling, time-series forecasting, or geospatial analytics would be advantageous.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.