Gwenith Brown

Open to work

Data Engineer 5- playback

South Carolina, United StatesMid-Level

RemoteFull-time

Contact this talentProfile updated Jul 6, 2025

About

I have had a Netflix subscription myself for awhile and watch shows all the time, so I do feel this is the best for me. I grew up with television and technology. I am a stay at home mom, so to have a job from home and be able to do my work at home with my children is a dream.

Professional details

Job title: Data Engineer 5- playback
Job category: Software Engineer
Experience level: Mid-Level
Contract type: Full-time
Work modes: Remote
Current location: South Carolina, United States
Open to relocation: No

Skills

fast learningartificial intelligencefile management

Preferred work areas

USA

Matching jobs

See all Software Engineer jobs

AI profile score

Jul 6, 2025

38of 100

Needs work

The candidate’s profile and resume show potential but require significant improvements to align with market expectations for a Data Engineer role. The location in South Carolina, US (Country Tier 1) is favorable, but the job title 'Data Engineer 5 - playback' is unclear and may not resonate well with recruiters or hiring systems. The job category as a Software Engineer has moderate demand, but the lack of technical skills relevant to data engineering (e.g., SQL, Python, ETL tools, cloud platforms) undermines competitiveness. The professional summary focuses on personal interests rather than professional qualifications and needs to highlight relevant experience and skills. The resume contains minimal professional work history related to the target role, lacks quantifiable achievements, and includes irrelevant details such as childcare experience. No external links are provided, which limits opportunities for employers to assess additional credentials. Language proficiency appears basic; fluency in English is assumed but not explicitly stated. To improve, the candidate should pursue foundational training or certifications in data engineering, rewrite the summary to reflect career goals and qualifications, and update the resume with relevant experience.

Country tier90/100
Job title25/100
Category40/100
Skills30/100
Summary20/100
Experience40/100
Links0/100
Resume30/100
Language60/100

How to improve

The professional summary should focus on qualifications, relevant experience, and skills directly tied to the Data Engineer role. Avoid mentioning personal interests like Netflix subscriptions or general life experiences as a stay-at-home parent. Instead, highlight any experience working with data systems, file management, AI concepts, or fast-learning abilities in a professional context. Use industry-specific keywords and quantify achievements if possible (e.g., 'developed data processing scripts that improved efficiency by X%'). Clearly articulate your value proposition as a mid-level data engineer and align the summary with current job market expectations.

Contact this talent

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