Remote Data Technician: Large-Scale GIS & Cloud

RiseMe

United States

Remote

USD 90,000 - 140,000

Full time

2 days ago
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Job summary

Tactibit Technologies is seeking a Data Technician to support mission-critical data handling for environmental and scientific datasets gathered from Earth orbiting satellites. This remote role involves designing data tools, processing large-scale data, and ensuring data integrity across the software lifecycle.

You will collaborate with cross-functional teams, implement data management best practices, and contribute to metrics reporting.

Qualifications

  • 8+ years of enterprise data management experience.
  • Experience with GIS data.
  • Strong understanding of data management processes and technologies.
  • Experience using scripting languages such as Perl, Python, Java, PowerShell, Ruby, etc.
  • Strong analytical skills and ability to work under pressure.
  • Must be able to pass a full background investigation and obtain a security badge to enter the applicable government facility.

Responsibilities

  • Research, design, deploy, and document new data management tools and techniques.
  • Manage large-scale data sets from modern ground systems and applications.
  • Support data management processing including data migration, backup, and recovery.
  • Provide reporting metrics to management and customers.
  • Assist with troubleshooting issues.
  • Work with cross-functional teams to ensure sound data management practices throughout the software development lifecycle.

Skills

Data management
Python
Perl
Java
PowerShell
Ruby
GIS data

Education

BS/BA in CS/Engineering

Tools

Git
Jira
AWS

Job description

Tactibit Technologies is seeking a Data Technician to support mission-critical data handling for environmental and scientific datasets gathered from Earth orbiting satellites. This remote role involves designing data tools, processing large-scale data, and ensuring data integrity across the software lifecycle.

You will collaborate with cross-functional teams, implement data management best practices, and contribute to metrics reporting.

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