Business Intelligence (BI) Developer with AWS (Amazon Web Services) Salary in 2024

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Median Salary Expectations:

How statistics are calculated

We count how many offers each candidate received and for what salary. For example, if a Business Intelligence (BI) with AWS (Amazon Web Services) with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.

The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.

Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.

Where is Amazon Web Services (AWS) used?

Netflix: Binge-streaming with a Side of Cloud

  • AWS keeps Netflix chill by handling colossal traffic spikes every time a new season of "Stranger Things" drops.

NASA: To Infinity and Beyond, with Data!

  • When NASA needs to crunch universe-sized data sets or stream Mars rover selfies, AWS is their cosmic sidekick.

Formula 1: High-Octane Cloud Analytics

  • Revving up race strategies, AWS turbocharges F1 by analyzing streams of telemetry data faster than a pit stop.

Airbnb: Homey Feels with Cloud Deals

  • From cozy lofts to castle stays, Airbnb's endless list of getaways lives harmoniously in AWS's digital hammock.

Amazon Web Services (AWS) Alternatives

Google Cloud Platform (GCP)

A suite of cloud services offered by Google that runs on the same infrastructure that Google uses. Examples include Compute Engine and Google Kubernetes Engine.


# Example of creating a VM instance in GCP
gcloud compute instances create "my-vm" --zone "us-central1-a"

  • Integrated with Google's services
  • Strong data analytics tools
  • Frequent discounts and free credits
  • Less market share than AWS
  • User interface can be less intuitive
  • Complex pricing structure

Microsoft Azure

A set of cloud services for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. Includes Azure Virtual Machines and Azure SQL Database.


# Example of deploying an app in Azure
az webapp up --location "CentralUS" --name "myAppName"

  • Seamless integration with Microsoft products
  • Extensive support for hybrid cloud
  • Strong emphasis on AI and machine learning
  • Higher learning curve for non-Microsoft devs
  • Can get expensive for larger operations
  • Less open-source friendly

IBM Cloud

IBM's cloud platform that provides a range of compute options, databases, and AI tools. Includes IBM Watson for AI and machine learning tasks.


# Example of starting a service in IBM Cloud
ibmcloud resource service-instance-create "my-instance" cloudantNoSQLDB Lite us-south

  • Strong enterprise focus
  • Powerful AI tools with Watson
  • Cognitive and data services
  • Complex interface and setup
  • Customer service can be slow
  • Potentially steep learning curve


Quick Facts about Amazon Web Services (AWS)

Once Upon a (Virtual) Server: AWS's Humble Beginnings

Believe it or not, the cloud empire of AWS sprouted from the digital soil in 2006, concocted by the e-commerce giant Amazon. They started with a simple yet audacious idea: "What if we rent out our massive computing infrastructure?" And just like that, AWS was birthed, offering their first service of on-demand computing. It was like giving a playground to tech nerds but making them pay for every swing and slide!


The API Symphony: AWS's Pioneering Moves

AWS was like the Pied Piper, leading the charge with their APIs; they released a basketful of them in 2006, letting developers manipulate virtual gadgets across the internet. Going beyond mere hosting, AWS brought the power of the force... I mean, "the cloud," to the average Joe Developer, allowing them to spawn servers with a few clicks or some magical incantations in their command lines.


# Summon an EC2 server like a digital wizard!
aws ec2 run-instances --image-id ami-0abcdef1234567890 --count 1 --instance-type t2.micro

S3: Storing the Internet Bit by Overflowing Bit


In the same year, 2006, AWS dropped S3, a.k.a. Simple Storage Service, but let's be honest, there's nothing simple about storing exabytes of data from all over the world. S3 made saving data as easy as stuffing a turkey on Thanksgiving. It allowed anyone to shove data into a virtual bucket and retrieve it faster than you can say "scalable storage solution." Suddenly, we had a hoarding solution for our digital trinkets!


# Hoard your bytes in an S3 bucket with a snap of your fingers!
aws s3 cp mySuperSecretFile.txt s3://mySuperCoolBucket/

What is the difference between Junior, Middle, Senior and Expert Amazon Web Services (AWS) developer?


Seniority NameYears of ExperienceAverage Salary (USD/year)Responsibilities & Activities
Junior0-2 years$70,000 - $90,000

  • Execute basic AWS tasks under supervision

  • Manage single-service deployments

  • Fix simple bugs identified by senior developers

  • Write code for small functionality

  • Learn best practices in AWS services

Middle2-5 years$90,000 - $120,000

  • Handle multi-service AWS deployments

  • Optimize existing AWS resources for cost and performance

  • Proactively identify potential issues and solve them independently

  • Contribute to the design of system architecture

  • Mentor junior developers

Senior5-10+ years$120,000 - $150,000

  • Architect complex multi-tier AWS solutions

  • Create and enforce AWS best practices across teams

  • Lead critical system upgrades or migrations

  • Conduct code reviews and ensure quality standards

  • Translate business needs into technical requirements

Expert/Team Lead10+ years$150,000 - $180,000+

  • Steer strategic direction for AWS adoption and optimization

  • Oversee multiple projects and ensure alignment with business goals

  • Lead and mentor teams of AWS developers

  • Drive innovation and stay abreast with the latest AWS technologies

  • Make key decisions on tech stack and tools


Top 10 Amazon Web Services (AWS) Related Tech

  1. Python & Boto3
    Here's Python donning a superhero cape, poised to rescue your cloudy day! With Boto3, Python's loyal sidekick, you can automate your AWS cloud faster than you can say "infrastructure-as-code." Need to launch an EC2 instance or play around with S3 buckets? Just a few lines of Python, and you're an AWS wizard!
  2. Serverless Framework
    Imagine deploying without servers; it's like magic without a wand. The Serverless Framework conjures AWS resources out of thin air. Just whisper your desired state, and presto! Your Lambda functions and API Gateways leap into the ether, ready to serve HTTP requests as eagerly as bellboys at a five-star hotel.
  3. Terraform
    No trick is too complex for the great Terraformini! Watch in amazement as he pulls whole networks out of his hat with Infrastructure as Code! Open-source and multi-cloud, he's the star of every cloud infrastructure show, making manual setup as outdated as a mime at a talking contest.
  4. AWS CLI
    If you prefer your commands served on a silver command-line interface, AWS CLI is your loyal butler. It brings the power of AWS to the comfort of your terminal, allowing you to whisper sweet nothings to manage your cloud resources. A simple "aws s3 ls" and your S3 buckets line up, ready for inspection.
  5. Docker
    Docker is the grandmaster of containerization, packaging your applications in containers so lightweight, they could float in the cloud. And with AWS's ECS or EKS, you can let those containers frolic across the cloud, scaling and rolling with the punches like acrobats in the software circus!
  6. JavaScript/Node.js
    To all the hipster devs sipping cold-brew: JavaScript, with its trusty Node.js steed, is ready to JS-ify your AWS ventures. Asynchronous, event-driven, and as trendy as your artisanal toast, Node.js lets your server-side applications shine brighter than your Instagram feed.
  7. Git & AWS CodeCommit
    Picture Git as the librarian of the coding world, carefully managing your source code with the meticulousness of a cat grooming itself. Pair it with AWS CodeCommit, and you’ve got a source control duo more dynamic than Batman and Robin, keeping your code safer than a squirrel’s nut stash in winter.
  8. Amazon RDS & DynamoDB
    Are you a digital gourmet who enjoys fine database dining? Amazon RDS sets the table with several flavors, be it PostgreSQL à la open-source or MySQL with a side of salsa. For those craving no-sql at its finest, DynamoDB is like an all-you-can-eat buffet, scaling to your appetite's content.
  9. Amazon CloudFormation
    Do you dream of constructing cloud infrastructure while you sleep? CloudFormation is like having your own legion of construction drones, building as per the blueprints of your JSON or YAML templates. Infrastructure becomes as pliable as playdough, assuming the shape of whatever fantastical form you command.
  10. AWS Lambda
    Fancy a world where servers are as passé as flip phones? AWS Lambda is your genie, ready to grant you serverless wishes. Just rub the Lambda lamp by deploying your code, and watch it execute with the grace of a ballet dancer whenever it's summoned by an event, free from the shackles of server management.
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