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Goal: Land a full-time, work-from-home Data role. This page is an outline you can follow, then customize into your personal plan.

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What each role does (plain English)

Data Engineer

• Builds the “plumbing” that moves data from apps and systems into a place the company can use.
• Keeps pipelines reliable (schedules, monitoring, fixing breaks).
• Makes sure data is complete, accurate, and delivered on time.

Analytics Engineer

• Turns raw data into clean, well-defined tables that answer business questions.
• Creates shared definitions so everyone measures things the same way.
• Focuses on data that is easy for others to use (analysts, stakeholders, dashboards).

Data Analyst

• Answers questions with data and explains what it means in plain language.
• Builds reports and dashboards people use to make decisions.
• Spots trends, issues, and opportunities, then communicates recommendations.

Target roles (pick 1–2 to focus)

• Data Engineer (builds and maintains pipelines that move data reliably)
• Analytics Engineer (organizes raw data into clean tables people can use)
• Platform Data Engineer (keeps the data stack reliable, secure, and scalable)
• Streaming Data Engineer (builds near real-time pipelines and event-driven data flows)

Core skills (the hiring bar)