Subido por Javier A. Ramirez Rdz

Evidence#4

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UNIVERSIDAD AUTÓNOMA DE NUEVO LEÓN
FACULTAD DE CONTADURÍA PÚBLICA Y ADMINISTRACIÓN
SALARY, MINIMUM WAGE, AND LEGAL FRAMEWORK
Group:8Fi
Classroom: 832
Andrea Carolina Ramirez Avalos
Frida Julieta Garza Rodriguez
Andres Guadalupe Martinez Jauregui
Valeria Lerma Carmona
Cesar Omar Aguilar Guerrero
Javier Alejandro Ramirez Rodriguez
DATA ENGINEER
1834328
1743473
1736767
1731189
1740789
1669510
Skills
● Tools and Components of Data Architecture.
● In-Depth Knowledge of SQL and Other Database Solutions.
● Data Warehousing and ETL Tools.
● Coding.
● Machine Learning.
● Various Operating Systems.
Soft Skills
● Verbal and Written Communication Skills.
● Collaboration with Other Business Units
● Presentation Skills.
● Time Management skills
● Problem solving
Valuation of payment and periodicity
The average data engineer salary in US markets is $116,591. However, this number
can vary significantly by state and even by city, as noted below.
● NYC: In New York, salaries average $123,070 per year, which is reportedly six
percent above the national average. Major companies and brands like
CapitalOne are almost always looking for big data professionals.
● Los Angeles: Falling just slightly behind New York City is Los Angeles, where the
average annual salary is $118,122 for data engineers. Spokeo, CyberCoders,
and NEXT are only a few of the companies currently looking to hire data
engineers.
● Seattle : In Seattle, the average annual salary for data engineers is $110,479.
There are currently several companies looking to add data engineers to their
payroll, including Red Ventures and Revel Consulting.
Justifications on minimum wage salary, comparissons from other wages
The minimum wages for a data engineer in USA range from 85,000 to $90,000 per year,
in Europe 27,218 euros, and in Asia 11,562.
The average salary for a data engineer is $137,776 per year, with a reported salary
range of $110,000 to $155,000 depending on skills, experience and location. Senior
data engineers earn an average salary of $172,603 per year, with a reported salary
range of $152,000 to $194,000.
Here’s what some of the top tech companies pay their data engineers, on average,
according to Glassdoor:
Company
Reported salary range
Average annual salary
Amazon
$78,000 - $133,000
$103,849
Hewlett-Packard
$64,000 - $105,000
$86,164
Facebook
$93,000 - $171,000
$122,695
IBM
$90,000 - $116,000
$99,351
Comparison chart of wages from different professions
Using this table and the previous one we can compare different professions with the
one we chose and we can see that despite being a relatively new profession it receives
a good salary, and it is also important to note that recognized companies such as
Amazon, Facebook among others, require the services of this profession, therefore it
has a future with an extensive field of work.
Description
As a data engineer, you’ll be handling the design and construction of scalable
management systems, ensure that all data systems meet company requirements, and
also research new uses for data acquisition. You should also know the ins and outs of
the industry such as data mining practices, algorithms, and how data can be used.
In order to stand out as a candidate, you should express humility and patience. Data
engineering is about building the underlying infrastructure, and so being able to pass
the limelight to someone else is imperative. We want to see candidates with mechanical
tendencies and a desire to know how things work and to improve them. Furthermore,
being able to listen to your colleagues is essential.
● Design, construct, install, test and maintain data management systems.
● Build high-performance algorithms, predictive models, and prototypes.
● Ensure that all systems meet the business/company requirements as well
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as industry practices.
Integrate up-and-coming data management and software engineering
technologies into existing data structures.
Develop set processes for data mining, data modeling, and data
production.
Create custom software components and analytics applications.
Research new uses for existing data.
Employ an array of technological languages and tools to connect systems
together.
Collaborate with members of your team (eg, data architects, the IT team,
data scientists) on the project’s goals.
Install/update disaster recovery procedures.
Recommend different ways to constantly improve data reliability
Responsibilities
● Analyze and organize raw data
● Build data systems and pipelines
● Evaluate business needs and objectives
● Interpret trends and patterns
● Conduct complex data analysis and report on results
● Prepare data for prescriptive and predictive modeling
● Build algorithms and prototypes
Requirements
● Previous experience as a data engineer or in a similar role
● Technical expertise with data models, data mining, and segmentation
techniques
● Knowledge of programming languages (e.g. Java and Python)
● Hands-on experience with SQL database design
CONCLUSION
We can say in conclusion that the data engine work has several different needs regarding
the place where it is specialized or in the country where it is located, for example it is not
the same as this one in the United States as it is in Mexico, it is also spoken of the
minimum wage and comparing the minimum wage of the united states in comparison with
mexico is very radical in terms of payments, it is also possible that in Mexico it is still not
very well developed in what is the area of data engineer due to lack of studies or study
opportunities in Mexico, that is why it is possible that here in Mexico the work is still not
very well developed as others and the pay is not very good compared to other countries.
That is why if someone is interested in dedicating or studying data engineering or
something related, they will need to find study programs on their own to achieve a good
study experience and also a good knowledge experience for when it is time to work.
Likewise, different qualities are needed to achieve a good habit as far as the career is
concerned and likewise it is necessary some characteristics of responsibilities to achieve
a good job.
BIBLIOGRAPHY
White Sarah. (2018). What is a data engineer? An analytics role in high demand.
19/02/2020, de CIO Sitio web: https://www.cio.com/article/3292983/what-is-a-dataengineer.html
Data council . (2019). Data Engineer Salaries Around The World (2019). 19/02/2020, de
Data council Sitio web: https://www.datacouncil.ai/blog/data-engineer-salaries-aroundthe-world-2019
Simplilearn. (2009). Big Data Engineer Salary: How Much Can You Earn as a Big Data
Engineer?. 2020, de Simplilearn Sitio web: https://www.simplilearn.com/big-dataengineer-salary-article
Job Description // recruiterly sitio web:
https://www.recruiterly.com/job-descriptions/data-engineer-job-description/
Data Engineer Job description:
Sitio web: https://resources.workable.com/data-engineer-job-description
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