How can you ensure you cover all your bases in your data engineer resume? It’s not easy to demonstrate in a single-page resume that you can build robust data pipelines, create ETLs for different data sources, and ensure uptime of all data congestion. While data scientists need data that can be plugged into their predictive models, data analysts need a queryable database to create visualizations for executives. They need to be great developers and have an appreciation for how other members of their team use data. It’s no wonder software engineers are flocking toward data engineering roles, but data engineers require a rare combination of skills to succeed. At the same time, the expected annual growth rate is nine percent year over year (faster than average). You can also consider using a resume objective as an entry-level candidate to highlight your strengths in a potent, quantified nutshell that introduces your abilities and adds to an otherwise short resume.Īccording to the US Bureau of Labor Statistics (BLS), the median salary for data engineers is $94,000.While some internships and apprenticeships exist outside academia, a majority of employers require you to be a current or aspirational degree holder. Complementary to your bachelor’s degree, internships exist to provide current students and recent graduates with real job experience.And if you have any resume-relevant interests and hobbies, you can add them to highlight skills like curiosity, a passion for learning, and dedication (Plus, this gives you fun things to talk about in the interview!).You can also add any awards you won in school, especially if they relate to engineering and computer science.A bachelor’s degree in computer science is a versatile tool to leverage, while an excellent GPA will catch the reader’s eye, underscoring your work ethic while in school.
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