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Business Intelligence (BI) Developer with SQLite Salary in 2024

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Total:
53
Median Salary Expectations:
$4,724
Proposals:
0.6

How statistics are calculated

We count how many offers each candidate received and for what salary. For example, if a Business Intelligence (BI) with SQLite 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 SQLite used?


Embedded in Gadgets



  • Got a smart toaster that burns time into your bread? Chances are SQLite is there, crunching numbers to make sure you don't end up with a charcoal snack.



Web Browser Dietician



  • Ever wondered why your browser is a tab-hoarding monster yet doesn't crash? SQLite is the secret sauce, meticulously managing your bookmarks and history like a digital librarian on steroids.



Space Odyssey Companion



  • Mission control needs their data, even in zero-gravity. SQLite is NASA's go-to buddy for data storage, proving it can handle the void of space without breaking a sweat.



Server Log Whisperer



  • When your server decides to spill its guts in the log files, SQLite swoops in. It plays the role of therapist, sorting through the server's deepest thoughts and errors with ease.

SQLite Alternatives


PostgreSQL


Advanced open-source relational database with strong emphasis on concurrency, performance, standards compliance. Employed in web applications to large-scale data warehousing.



-- Connect to a database
\c database_name

-- Create a table
CREATE TABLE users (
id SERIAL PRIMARY KEY,
name TEXT NOT NULL
);


  • Robust transaction and concurrency model

  • Supports advanced data types and full-text search

  • Can be overkill for small, lightweight applications



MySQL


Popular open-source relational database known for its reliability in web applications, provides a mix of high performance and ease of use, often used in combination with PHP.



-- Connect to a MySQL database
mysql -u username -p database_name

-- Create a table
CREATE TABLE users (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(100) NOT NULL
);


  • Widely adopted with large community support

  • Compatible with all major hosting providers

  • Less optimal for complex transactions compared to other RDBMS



MongoDB


NoSQL database offering high scalability and flexibility with a document-oriented storage, JSON-like documents with schema. Ideal for rapid development and handling diverse data types.



-- Connect to a MongoDB database
mongo --host myHost --port 27017

-- Create a collection and insert a document
db.users.insert({ name: "John Doe" });


  • Schema-less structure allows for flexible data models

  • Horizontal scaling suits large, distributed systems

  • Not suited for ACID transaction-heavy applications

Quick Facts about SQLite


SQLite's Humble Beginnings on a Napkin Sketch



Back in the spring of '00, D. Richard Hipp had a eureka moment that didn't need a fancy lab – just a good ol' napkin! SQLite sprang from his brain onto that little square piece of paper. It was like he was doodling, but instead of a stickman, it was the first draft of a database that could nestle snugly into applications like a baby kangaroo.



Zero to SQL Hero with Self-Containment



This ain't your grandma's database! SQLite was the cool kid who didn't want to rely on anyone, so it came into this world in 2000 fully self-contained. With no server setup or configuration conundrums, it’s the database equivalent of a Swiss Army knife for software developers - it does it all, from storing data to tying virtual shoelaces.



-- Look ma, no installation needed!
SELECT 'Easy as pie!' AS SQLiteMotto;




Blasting Through Space-Time with Speed



With version 3 hitting the cyberspace shelves in 2004, SQLite didn't just upgrade; it broke the sound barrier with its new atomic commit feature. Imagine writing in your journal and, with a snap of your fingers, *poof* it's saved, safe from coffee spills and forgetful afternoons. That’s the kind of wizardry SQLite brought to the table that made databases nervously clutch their SQL statements.



-- Atomic commit in action:
BEGIN TRANSACTION;
INSERT INTO space_time (magic) VALUES ('🧙‍♂️');
COMMIT;


What is the difference between Junior, Middle, Senior and Expert SQLite developer?


































Seniority NameYears of ExperienceAverage Salary (USD/year)Responsibilities & Activities
Junior0-250,000 - 70,000

  • Assisting with simple database tasks.

  • Writing basic SQL queries for data retrieval.

  • Maintenance of existing databases and troubleshooting simple issues.

  • Participating in code reviews with guidance.


Middle2-570,000 - 90,000

  • Designing and optimizing database schema.

  • Writing complex SQL queries and implementing indexes.

  • Ensuring database performance and integrity.

  • Contributing to team discussions and planning.


Senior5-1090,000 - 120,000

  • Architecting and implementing critical SQLite databases.

  • Leading data migration and integration projects.

  • Conducting in-depth performance tuning of complex databases.

  • Guiding junior developers and reviewing their work.


Expert/Team Lead10+120,000 - 150,000+

  • Overseeing all database-related operations.

  • Setting best practices and ensuring adherence to data standards.

  • Leading strategic planning for data handling and storage.

  • Managing team dynamics and allocating resources efficiently.



Top 10 SQLite Related Tech




  1. Python


    Gaze into the serpent’s eyes and you'll find Python, the programming language that slithers its way through data like it's a walk in the park. But why stop there? The beauty of Python with SQLite is like peanut butter and jelly – they just belong together. With the sqlite3 module that comes baked right into Python's standard library, connecting and dancing around with your database is smoother than a fresh jar of Skippy.



    import sqlite3
    connection = sqlite3.connect('mydatabase.db')
    cursor = connection.cursor()
    # Don't forget to boogie with your database!



  2. SQLAlchemy


    Now if you're a high-flyer and Python's ORM is your wingman, SQLAlchemy is the wind beneath your wings. You might as well call yourself the SQLite whisperer, because with SQLAlchemy, you could be seducing databases with the finesse of a Casanova. It lets you speak to SQLite in a language so high-level, it's practically stratospheric!



    from sqlalchemy import create_engine
    engine = create_engine('sqlite:///mydatabase.db')
    # Get ready to lift your database relations to the clouds!



  3. SQLiteStudio


    Ever fancied a studio apartment for your data? SQLiteStudio's your interior designer. It's a voguish toolkit that lets even the database noobs feel like SQL pros. Furnish your tables and polish your queries until they shine like the top of the Chrysler Building. Just one peek at that GUI and you’ll feel your inner data-artist awaken.




  4. DB Browser for SQLite


    This nifty tool is like night vision goggles for your database. DB Browser lets you peer into the dark recesses of your SQLite storage and lay down some law with your tables and databases. Think of it as a seeing-eye dog that helps you navigate through the tangled forest of your data.




  5. SQLite Expert


    For the crème de la crème, the connoisseur's choice, SQLite Expert dresses up your database interactions in a tux and sends them off to the ball. It's not just about the chic interface; it’s the performance that will have you waltzing through queries and data structure refinement like a database debutante.




  6. Node.js


    The cool kid on the block, Node.js, rolls with SQLite like they're best buds at a skate park. With the npm packages like sqlite3 or better-sqlite3, whipping up a database-backed application is as easy as landing a kickflip. Async operations? No sweat. Node's got your back with promises that won't stand you up.



    const sqlite3 = require('sqlite3').verbose();
    let db = new sqlite3.Database('./mydatabase.db');
    // Node.js and SQLite, better together than peanut butter and bananas!



  7. Prisma


    Prisma's like that gym buddy who spots you while you lift your database models. It’s new on the SQLite gym floor, flexing with a type-safe ORM that makes your data-access layers as sturdy as a powerlifter's thighs. It's slick, it's typed, and it could help you ORM your way to a buff database.



    const { PrismaClient } = require('@prisma/client')
    const prisma = new PrismaClient()
    // Now watch as your data model does the heavy-lifting!



  8. Docker


    Docker is like the Swiss Army knife that every database-loving camper should have in their backpack. SQLite in a container? More like your data's personal fortress. With Docker, you can wrap up your SQLite environment in a neat little container that's more portable than your lunchbox.



    # Example Dockerfile snippet for SQLite
    FROM python:3.8-slim
    RUN apt-get update && apt-get install -y sqlite3
    # Your SQLite is now containerized. Beware of seasickness!



  9. Git & Version Control


    Who doesn't love a good time-travel movie? With Git, you're basically the Doc Brown of your SQLite database schemas. Branch out, commit, merge; it’s not a family tree, it’s your database history. And with a flick of your wrist, you can roll back to the glory days whenever you want. Delorean not included.




  10. Jupyter Notebooks


    Don your lab coat and protective goggles because Jupyter Notebooks let you experiment with SQLite like a mad scientist. Cook up some SQL queries in one cell, analyze the results in another, and share your sinister creation with the world - all from the comfort of your browser laboratory!



    %sql SELECT * FROM my_table WHERE my_column = 'interesting_value'
    # It's alive! Your data's alive!


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