Landing a Data Engineer Job in the USA
Landing a Data Engineer Job in the USA: Master the Skills, Resume Building, and Interview Techniques for a Successful Career Transition by Leandro Calado
English | April 1, 2025 | ISBN: N/A | ASIN: B0F2SY8WQG | 114 pages | EPUB | 1.63 Mb
English | April 1, 2025 | ISBN: N/A | ASIN: B0F2SY8WQG | 114 pages | EPUB | 1.63 Mb
Looking to break into the booming U.S. tech market as a Data Engineer—even if you're starting from scratch or switching careers? This book is your ultimate roadmap.
How to Get Hired as a Data Engineer in the USA is a practical, no-fluff guide designed specifically for beginners and career changers aiming to land data engineering roles in the United States. Whether you're new to tech or pivoting from another field, this book will walk you through the exact steps to go from learning the fundamentals to acing your job interview and negotiating a U.S. salary.
- Tailored for the U.S. Job Market — Understand exactly what American companies look for in data engineers and how to meet those expectations.
- Step-by-Step Structure — Move confidently from learning essential skills to building a U.S.-style resume, mastering interviews, and navigating job platforms like LinkedIn and Glassdoor.
- Practical Tools & Resources — Discover the most in-demand technical skills (SQL, Python, Spark, AWS, Azure, etc.), build real portfolio projects, and choose the right certifications (AWS, Databricks, GCP).
- Job Search Strategies That Work — Learn how to use networking, LinkedIn, and open-source contributions to unlock hidden opportunities in the U.S. market.
- U.S.-Style Resume and Interview Prep — Write resumes that pass Applicant Tracking Systems (ATS) and impress hiring managers. Get ready for both technical and behavioral interviews with real-world examples.
- Beginner-Friendly but Professional — Everything is explained in clear, practical language—no tech jargon overload.
- Sample job paths, salaries, and growth trends in the U.S.
- A guide to cloud platforms, data warehouses, and big data tools
- Realistic day-in-the-life examples of U.S.-based data engineers
- Networking tips specific to the U.S. culture and market