Data engineer amazon salary: Amazon Data Engineer Salary | $143K-$255K+

Опубликовано: September 19, 2023 в 10:55 am

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Категории: Miscellaneous

Amazon Data Engineer Salary | $143K-$255K+

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Average Compensation By Level

Add CompCompare Levels

L4
$143K
$108K
$22K
$13K
L5
$190K
$134K
$47K
$9K
L6
$255K
$145K
$110K
$0
L7
$ —
$ —
$ —
$ —

View 3 More LevelsAdd CompCompare Levels

Given Amazon has an irregular vesting schedule (5%, 15%, 40%, 40%), the average total compensation is calculated by dividing the total stock grant evenly by 4. We also average out the sum of the sign on bonuses over 4 years to calculate the total bonus.

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Vesting Schedule

5%

YR 1

15%

YR 2

40%

YR 3

40%

YR 4

Stock Type
RSU

At Amazon, Main RSUs are subject to a 4-year vesting schedule:

  • 5% vests in the 1st-year (5. 00% annually)

  • 15% vests in the 2nd-year (15.00% annually)

  • 40% vests in the 3rd-year (20.00% semi-annually)

  • 40% vests in the 4th-year (20.00% semi-annually)

Backloaded vesting schedule

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FAQ

What is the highest Data Engineer salary at Amazon?

The highest paying salary package reported for a Data Engineer at Amazon sits at a yearly total compensation of $310,000. This includes base salary as well as any potential stock compensation and bonuses.

How much do Amazon Data Engineer employees get paid?

The median yearly total compensation reported at Amazon for the Data Engineer role is $178,000.

What is the Highest Amazon Data Engineer Salary?

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How much does an Amazon Data Engineer make? Well, there are lots of, shall we say “speculative” answers to this question online. The goal of this page is to cut through the noise and provide the real data based on our experience with 100s of tech negotiations and 1000s of submitted offers. Below, we’ve listed the top of band compensation for multiple Amazon Data Engineer levels. There is also a bonus section at the bottom with info on negotiating Amazon Data Engineer offers.

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Amazon Data Engineer Offer Components

  • Amazon base salary:

    base salary at Amazon is fairly standard. The one unique element was that for almost all of 2021 there was a $160K/$185K base salary cap in Seattle/SF

  • Amazon equity (RSUs):

    Amazon’s equity vesting schedule is non-standard and heavily back weighted. You will vest equity (i.e. you receive shares) over a 4 year period but only 5% in year 1, 15% year 2, 40% in year 3 and 4. Amazon quotes a specific number of shares rather than dollar value, but you can calculate a decent approximation of the dollar value by looking at the average share price over the past month

  • Amazon signing bonus:

    Amazon has a signing bonus in year 1 and year 2. These are typically much larger than at other companies to make up for the tiny portion of equity that is vesting in year 1 and 2

  • Amazon performance bonus:

    Amazon does not have set targets for performance bonuses. You shouldn’t factor this into your total comp at Amazon

  • Amazon stock refreshers:

    Amazon stock refreshers are very hit or miss and depend on your manager/team in addition to your own performance. You will almost always receive additional stocks at the end of your initial 4-year grant, but the usual stacking of stock refreshers in year 2 and 3 doesn’t typically happen at Amazon

Note: levelling is critical to understanding compensation bands. If you aren’t familiar with Amazon levels (which are quite unique), skip to the bottom to read this.

Base Salary

$175K

Equity (4 years)

$180K

Yr 1 Signing Bonus

$82K

Yr 2 Signing Bonus

$58K

Reminder: Amazon’s level structure is unique and an L5 DE at Amazon is equivalent to an L4 DE at Facebook or Google. The top of band numbers are based on SF/NYC pay bands – Seattle will be lower.

Base Salary

$185K

Equity (4 years)

$500K

Yr 1 Signing Bonus

$200K

Yr 2 Signing Bonus

$145K

The numbers above are for L6 data engineering roles in SF/NYC. Typically data engineering manager roles pay 10-15% higher TC.

Base Salary

$185K

Equity (4 years)

$750K

Yr 1 Signing Bonus

$335K

Yr 2 Signing Bonus

$250K

Early 2022 offers have a much different structure with the removal of the $160K/$185K base salary cap. Senior DE manager positions will be 10-15% higher than the numbers listed above.

Amazon Data Engineer Negotiation

So now you’ve got the comp data, are you ready to negotiate? Not quite.

First off, comp data is constantly changing and Amazon made significant modifications to its compensation approach in 2022. 2022 numbers are higher than the 2021 numbers listed above, and it’s critical to know the full range for each component to optimize your negotiation. Amazon also fundamentally changed how they structure offers with the removal of their artificially low base salary caps. But even more than that, many people think knowing the compensation data is the most important part of a negotiation, but it’s not. You can go tell your Amazon recruiter that you read online the top of band is $X and you want that number, but in 90% of cases that won’t work. So what will?

Companies negotiate when they believe you won’t accept their offer. But, since you just finished a long and arduous interview process with them, they know you are likely to accept the job unless you have higher competing offers from other great companies.

This means you need to create leverage and make it believable that you are considering other options but would prefer Amazon if the compensation is comparable. This sounds easy but quickly becomes challenging if you don’t have other offers or if your other offers aren’t higher than the top of band comp numbers you are targeting.

Assuming you do have a higher competing offer (i.e. above your top of band target) from another good company, the negotiation can still be surprisingly difficult. Amazon has many unusual policies. For example, they by default assume 15% stock appreciation in their offers – though they don’t openly disclose it. This means they will claim to have “matched” a competing offer when in fact their offer is much lower. There are multiple rules like this at Amazon, and the strategies that we’ve found work best to get around them are often not intuitive. In our experience, Amazon’s comp team operates like a bureaucracy where through trial and error you can figure out how to reliably turn specific pieces of information (inputs) into your target output.

Amazon Data Engineer Levels

Amazon Levels

L4

L5

L6 (Senior DE)

L7

L8 (DE Director)

Google Levels

L3

L4

L5

Between L6 and L7

L8

Amazon does not follow industry standards when it comes to levelling, though to be fair many companies take a unique approach. We’d recommend using Google levels as the benchmark. Other companies like Facebook, DoorDash, etc. use the Google system just with different names (e.g. IC5/L5/E5 are the same at those companies). Amazon inflates levels by +1 for more junior levels (e.g. Amazon L4 = Google L3, both are entry level positions). However, this trend breaks at Amazon L7, which is closer to Google L7 than Google L6 in terms of compensation and scope. The 3 other main levelling systems to be aware of are: 1) Microsoft where 65 = Amazon L6 2) Apple where ICT4 is in between Amazon L5 and L6 3) Stripe/Robinhood/etc. where L2/IC2 = Amazon L5.

1:1 Salary Negotiation Support

We’ve negotiated more than $45M in Amazon offers. Our largest Amazon increase was $970K.

Step 1 is defining the strategy, which often starts by helping you create leverage for your negotiation (e.g. setting up conversations with FAANG recruiters).

Step 2 we decide on anchor numbers and target numbers with the goal of securing a top of band offer, based on our internal verified data sets.

Step 3 we create custom scripts for each of your calls, practice multiple 1:1 mock negotiations, and join your recruiter calls to guide you via chat.

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what it is and how to become one

One of the world’s most valuable firms, Amazon employs over a million full-time and part-time people. While it first served as an e-commerce platform, it has now expanded into a host of technology products, most notably Amazon Web Services, that power countless businesses around the world. The software developers at Amazon who work behind the scenes to keep the business running smoothly are responsible for the company’s success. But what salary, training, and perks can you expect as an entry-level software engineer and intern at Amazon? Let’s start.

What is a software engineer?

A person who creates, develops and executes computer software is known as a software engineer. Working in a team, a software engineer specializes in a particular area of ​​computer science such as software engineering, artificial intelligence, computer programming, or computer architecture. Software engineers are responsible for creating publicly available computer applications. They can work in a wide variety of fields, including the public sector, medicine, retail, and many more. They can also significantly change how some sectors work.

What are the job duties and responsibilities of a software engineer at Amazon?

Amazon Software Engineers create, organize and manage teams using computer science and engineering principles to pave the way for the company’s digital transformation. They work in collaboration with their engineering teams to develop products that will make life better for customers. They are ultimately responsible for the successful delivery and launch of a company’s technology solutions, such as its websites and apps. From 19Amazon has been a player in the online retail industry for 94 years.

During this time they have grown to become one of the largest online retailers in the world. They must continue to hire software engineers to keep up with demand so they can continue to develop new, improved services for their customers. Amazon engineers are involved in numerous teams and initiatives. Making life easier for consumers is part of their daily work responsibilities. They achieve this, for example, by developing solutions for drivers and designing user interfaces that make shopping and ordering easier.

Amazon Software Engineer Salary

The average annual salary for an Amazon Software Engineer in the US as of May 111,343, 6 is $53.53 in 2023. If you need a quick salary estimate, it will be around $9,278 per hour. This works out to $2,141 per month or $2,141 per week.

The salary of most Amazon software engineers currently ranges from $85,00025 (137,000th percentile) to $759$0 (160,500th percentile), with the highest paid (160,000th percentile) earning $25,500 per year in the United States, while ZipRecruiter reports annual wages ranging from $52,000 to $25,500. XNUMX XNUMX dollars. Given that the average Amazon Software Engineer salary can vary significantly (up to $4,000), there may be numerous opportunities for salary increases and promotions depending on experience, location, and skill level.

According to the latest job postings on ZipRecruiter, there is a strong demand for Amazon software engineers in Atlanta, Georgia and the surrounding area as well. In your region, the median annual salary for an Amazon software engineer is $110,228, $1,115, which is $1,111,343 (50%) less than the national average of $44,115. Of the XNUMX states, Georgia is ranked #1 in Amazon software engineer salary.

With millions of current job openings listed across America, ZipRecruiter regularly reviews its database to determine the most accurate annual salary range for Amazon Software Engineer positions.

Amazon Software Engineer Trainee

At Amazon, we work with the brightest minds in the industry to create and innovate for the benefit of our customers. We are one of the most adored brands in the world due to our obsessive focus on our customers. It is in the DNA of our company. An Amazon Software Engineer Intern works with a small group of experienced Software Development Engineers (SDEs) who mentor them on projects that matter to our customers while writing real software.

An Amazon Software Engineer trainee works 6 hours a day or 30 hours a week for 12 months. As an Amazon Software Engineer Intern, you will be assigned a manager and mentor. Early in your career, you will have the opportunity to influence Amazon’s technology development and help with important projects. You’ll help solve some of the toughest technical problems in distributed systems, data mining, automation, optimization, scalability, and security, just to name a few. You will also offer your design, coding and general intelligence.

Throughout your internship, in addition to working on a worthwhile project, you will have the opportunity to network with Amazons for professional and personal growth, expand your networking and take part in activities with other interns. No matter where you do your internship, we will provide you with the resources you need to manage your project and gain real-world experience.
It would be hard to find a team that isn’t using Amazon Web Services (AWS), interacting with the catalog, or improving services to make them more personal to customers, given how much our technology overlaps.

Core Job Responsibilities for an Amazon Software Engineer Intern

  • Work together to create, design and sell cutting-edge products and services with experienced, multidisciplinary Amazonians.
  • Work together to develop cutting-edge technologies in a vast distributed computing environment and drive important industry change.
  • Work together to develop predictive methods for distributed systems using cutting-edge technologies that work at incredible scale and speed.
  • Work together to develop distributed storage systems, indexes, and queries that are scalable, fault-tolerant, affordable, and easy to use and manage.
  • Ability to start from tasks that are broadly described and develop and code appropriate solutions.
  • Work flexibly to create high quality software.

Qualification Requirements

  • Be enrolled in a bachelor’s or master’s program in computer science, computer engineering, or a related discipline at the time of application, with an expected completion date of June 2023 to June 2024.
  • Understanding the syntax of languages ​​such as Python, C++, or Java.
  • Understanding of key computer science concepts such as complexity analysis, object-oriented design, algorithm design, and data structures.

Preferred qualifications

  • Experience with relational databases, distributed multi-level systems and algorithms.
  • Knowledge of optimization mathematics such as non-linear and linear programming.
  • Ability to communicate technical problems and solutions.
  • Can think abstractly and can solve vague or vague problems.
  • Effective Spanish communication skills in both writing and speaking
  • Proficiency in English

Amazon Software Engineer Training

As one of nine training programs included in Upskilling 2025, Amazon’s $1.2 billion commitment to train more than 300,000 Amazon employees in new job skills by 2025, awards for Amazon software engineers accepted into the Tech Academy Amazon are significant.

The Amazon Technical Academy trains employees in the basic skills required for a career as an entry-level software engineer at Amazon. Candidates do not need prior computer experience to participate in the program; all they need is a high school diploma, or GED, and the stamina to complete a challenging nine-month full-time course designed by an experienced Amazon software engineer.

Amazon Tech Academy has recruited hundreds of Amazon employees since its debut in 2017. Thanks to an increase in the average salary and compensation package by 93% Amazon Academy of Technology has hired more than 95% of its graduates as software engineers for the company.

In 2020 alone, the corporation committed more than $100 million to this program as part of its promise to provide employees with career opportunities.

The program is led by Ashley Rajagopal, a longtime Amazon employee who has held various roles in the company’s consumer division. She joined the Amazon Tech Academy when she was a young organization, when a small group of engineers and product managers were testing whether Amazon could upgrade workers to software development positions, regardless of their experience or technical expertise.

According to Rajagopal, our conscious attempt to demystify the skills required to become a software engineer was critical to our success. “Having identified these skills, we purposefully changed our curriculum and learning strategy to make them accessible to participants who, due to experience or financial constraints, have not been able to pursue a higher education in software engineering,” the authors write.

Amazon entry level software engineer salary

The average Amazon entry level software engineer salary is $168,535,138 per year. The starting salary for a software engineer at Amazon can range from $218k to $218k. The entry-level software engineer salary at Amazon includes a base salary, bonuses, and stock options that steadily increase in value with experience.

  • Base salary: Amazon entry-level SWE receives an average base salary of 127.9$85 XNUMX.
  • Bonuses: An entry-level software engineer at Amazon typically receives a $22,179 bonus.
  • Shares: An entry-level software developer at Amazon typically receives $18,371 worth of shares.

Benefits of working at Amazon as a software engineer

One of the most in-demand skills in the global marketplace is software development. The US Bureau of Labor Statistics predicts that demand for software engineers will grow by 22% between 2020 and 2030. Projections for other jobs are below that number.

Software engineers are in high demand, which can make it easier for them to find great jobs with first-class perks. What are the advantages of working at Amazon compared to other technology companies? This section presents some ideas.

#1. Medical Benefits

Amazon offers a wide range of health care services to its employees, including coverage for catastrophic illness, vision problems, dental health, and mental health. The business has partnered with Progyny to offer fertility coverage.

#2. Insurance

Amazon employee insurance covers various risks. For example, a business offers short-term and long-term disability insurance for employees who work more than 30 hours a week. In this case, the employee does not bear any costs. In addition, employees receive life, accidental death and dismemberment insurance. They also have the option to purchase a pet and insurance at home.

#3. Parental leave and pregnancy

Amazon takes into account the fact that people who have children through natural birth or adoption often need time to adjust. Amazon employees may be eligible for up to 14 weeks of paid maternity leave and up to six weeks of parental leave, subject to certain restrictions. There is also a plan to gradually reintegrate new hires into the workforce over eight weeks.

No. 4. Limited stocking items

For a long time, technology companies allowed their employees to buy shares. Under such arrangements, employees who stay with the company for a certain period of time can receive significant financial benefits. In addition, Amazon provides employees who work more than 30 hours a week with the opportunity to buy stock in the company.

Does Amazon pay good software engineers?

Yes. The highest recorded salary package for a Software Engineer at Amazon is 379$.890 in annual total compensation.

What is the base salary for a software engineer at Amazon?

At Amazon, a software engineer can earn up to $190,566 per year in total compensation. Based on the salaries received from our clients, this number is the median, which is the middle of the ranges from our own methodology for estimating total salaries. $XNUMXXNUMX is the expected base salary per year.

What is an Amazon Software Engineer qualification?

SDE I: Preference is given to graduates with at least six months of experience in software development without an internship. SDE II: Graduates with at least three years of software development experience are preferred.

How much does a Level 5 earn on Amazon?

As a result, Amazon can pay you $200,000 per year for Amazon level 5 work and can offer you higher or lower wages for the same level position.

What is the Amazon Level 7 salary?

Salary increases as you advance in rank. The base salary of a Level 7 Amazon employee is $300,000. The range depends on the job and can be as high as $4,000 per year.

Conclusion

Streaming products are just one of the many products Amazon has to offer. It is also a place where software engineers can make a name for themselves and earn a decent salary. If you want to work for Amazon, you must know the following:

  • Software engineers are in high demand and wages are rising. As a result, there is fierce competition and you can look forward to a decent salary as a software developer at Amazon.
  • The outstanding perks that Amazon provides to its employees are another key benefit of working for the company. The benefits of using Amazon are numerous and easy to use. In addition, you can redeem your points for gifts and other items.
  • NETWORK SECURITY ENGINEER: job description, salary and how to become one
  • WHO IS A DATA ENGINEER? Skill requirements and salary in 2023
  • COMPUTER ENGINEER: definition, salary, what they do and requirements
  • TECHNICAL ENGINEER: meaning, responsibilities, salary, skills and interview question

References

  • Muza
  • About Amazon

Matrix of levels data of Amazon engineers / Sudo Null IT News0001

The matrix shows how the professional skills of specialists change from level to level. This does not include the Amazon Leadership Principles, as they are the same for everyone and do not depend on the level of the employee.

The level matrix is ​​not used by itself. These are just reference skills for hiring. HRs consider the technical skills of an employee in isolation from personal qualities and compare them with job expectations.

What do data engineers work with?

  1. Initial data – shows to what extent the initial data is set. How independent is the engineer in making decisions? Will he be able to solve the problem if he has incomplete and inconsistent data?

  2. Whom influences – how the engineer influences other team members, how he organizes data and implements new technologies.

  3. Whom consults – who the engineers work with or influence.

  4. Technical part – in which areas the engineer will introduce innovative solutions. How much an engineer can analyze and simplify tasks.

  5. What is responsible for – how an engineer influences the system architecture and business processes.

  6. What improves – what the engineer improves in terms of organizing and processing data and the technical structure of the system (assembly, configuration, testing, release, monitoring). How focused the engineer is on the security, quality, and reliability of data processing solutions.

  7. What knows – whether the engineer understands the structure and organization of data, architectural patterns. Is he able to make informed decisions, look at the problem from above, take into account the nuances. Can he strike a balance in the short and long term. Does he understand what his decisions will affect now and how they will manifest themselves in the future.

L4: DE I

L5: DE II

L6: DE III

L7: Principal DE

Initial data

The logical data model is defined. The physical data model is not defined. The engineer implements and tests solutions with a mentor.

The logical data model is not clearly defined. The data structure is not defined. The engineer makes his own decisions.

The business challenge is defined, the team’s technical strategy is not. The logical data model is not defined. The engineer works by himself under little guidance.

Business task and data architecture may not be defined. The engineer may not even know what the problem is. The engineer works completely independently.

Who is affected

Responsible only for himself. Collaborates with colleagues of equal level. Can be a mentor to interns.

In the team influences decisions on processing medium-sized data. Mentors peers at his level. Resolves disputes between colleagues.

Affects the data architecture within a team (even within neighboring teams), may affect software development. Actively teaches colleagues, takes part in the assessment of the technical qualities of DE.

Affects departmental data architecture. Arranges a sequence of tasks. Trains colleagues, helps them develop professional skills. Conducts mentoring.

Who is consulted

Peer level 9 peers0003

Engineers, Product Managers, Executives

Executives, CTO, Commercial Director

President/Vice President, Tech At-Large

Technical

Works with physical data model and pipelines for small datasets. Fixes bugs in existing datasets. Works under the supervision of a mentor.

Works with the logical data model and pipelines for complex datasets within the team. Engineer’s solutions are convenient to check and technically support.

Defines the data architecture at the instruction level. Breaks complex tasks into simpler ones, looks for and fixes problem areas. Engineer’s solutions can be customized and applied to other tasks.

Defines the data architecture within its department. Solves complex system problems. Engineer’s solutions are reliable and cost-effective, they can be used as standard.

What is responsible for

Responsible for datasets and data processing pipelines.

Responsible for self-service analytics tools for datasets, as well as for the commercial component.

Specifies the data architecture within the command. The data must be available for analytics in different situations. Responsible for data quality, availability and commercial value.

Defines a large-scale data architecture. Uses his knowledge and experience to improve data processing pipelines and organize data access.

What improves

Measures and improves the quality of datasets.

Improves self-service data access, code quality, and management independence. Develops Quality of Service Agreements (SLAs) and defines data scoring. Automates manual processes.

Selects the best solutions for designing, organizing and testing data, thereby improving the commercial and technical processes within the team.

Defines data processing and testing standards. Implements business-wide data organization practices.

What he knows

Knows data processing languages. Learns the data architecture within the team. Actively learns and applies new knowledge in work.

Knows data design patterns and understands when to use them. Understands command data architecture. Makes compromise decisions about datasets.

Learns best practices in data engineering. Knows the command data architecture in detail. Makes compromise decisions regarding current needs and long-term goals.

Knows the technologies behind the division architecture. Develops new approaches to work, divides tasks into simpler and more understandable ones.

For example, a DE I engineer

What does he do?

Solves simple problems, from small to medium in scope. Collects initial data for datasets, builds standard solutions that other team members can use. Consults with colleagues at the level. The engineer knows the basics of data management and data storage principles, uses standard software solutions. The engineer has clearly defined requirements for problem solving and schedule and execution.

Engineer understands different ways of collecting, modeling, processing and storing data. Uses one or more query languages ​​(eg SQL, HiveQL, SPARQL), data definition languages ​​(DDL, SDL, XSD, RDF), and scripting languages ​​(eg Perl, Python, KornShell, Scala). Understands the differences between data storage solutions (for example, HDFS and relational DBMS), data integration methods (ETL and data federation), federation algorithms (for example, hashing and nested loop). An engineer writes safe, testable code that is flexible to change. At the same time, the code has a minimum number of errors. Can create physical data models and optimize data pipelines for simple datasets.

An engineer as part of a team discusses options for organizing and processing data. Collaborates with business analysts and data scientists within the company to identify problems. The needs of the business and the customer are put at the forefront. Based on this, the engineer develops and improves data processing solutions.

The engineer is responsible for the state of the code, whether he wrote the code himself or inherited it from a previous employee. The engineer monitors the integrity of the data and controls access to it so as not to put the company at risk. It thoroughly tests the code and validates the data models. The engineer classifies, stores and processes data in accordance with company policy. Tracks possible risks and reduces them. At the same time, the engineer documents his actions, leaves simple and understandable comments to the code, so that later other employees of the company can use these solutions or scale them. The engineer collaborates with data engineers of his level. Participates in interviews, discusses job applicants, and also mentors new hires and interns.

What do you need to know to get to the next level of DEII?

When a manager decides to promote an employee, he looks at two things: how the person works independently and how he works in a team.

Skill Requirements:

Engineer designs and implements data processing solutions. There are positive examples of such decisions.