Data Engineer

Job Description Insight Global is seeking a talented Data Engineer to join our team within the Edge Network Services division. This role will support the M360 project, focusing on data analytics and metrics. As part of the ENS Analytics team, you will enable data-driven decision-making, develop

L1/L2/L3

metrics for key processes, and automate Opex and Capex tracking. Your responsibilities will include designing scalable data solutions, automating data pipelines, improving data quality, and establishing effective metrics governance to support ENS operations. Additionally, you will create dashboards, reports, and self-service analytics tools to empower ENS teams to monitor, analyze, and act on reliable data insights. This role can pay between $65-$70 hour depending on years of experience and skillset. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Skills and Requirements Job Qualifications:

• 5+ years of experience as a Data Engineer supporting company infrastructure, data analysis, and metrics
• Proficiency in Linux and shell scripting
• Expertise in MySQL database administration, implementation, and maintenance
• Strong SQL skills or similar languages, with development experience in at least one scripting language (Python preferred)
• Solid understanding of data architecture, data modeling, and schema design Networking based projects (highly preferred) Advanced Python for data engineering and automation