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Data Engineer with Scala Salary in 2024

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Total:
91
Median Salary Expectations:
$5,050
Proposals:
0.6

How statistics are calculated

We count how many offers each candidate received and for what salary. For example, if a Data Engineer with Scala 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 Scala used?


Twitter's Flight from the Ruby Nest



  • Once upon a tweet, Twitter realized Ruby's feathers were too fluffed for speed. They swooped into Scala for high-flying performance that tweets can't stop chirping about.



Streaming on Steroids with Kafka



  • Kafka, the heavyweight of big data brawlers, pumps its messaging muscles with Scala, delivering data punches at lightning speed without breaking a sweat.



Meet Spark, Scala's Data Wrangler



  • In the rodeo of data, Apache Spark lassos terabytes faster than a cowboy on a caffeine kick, thanks to Scala's concoction of functional and object-oriented brew.



The Guardian's Code of Honor



  • The Guardian knights safeguard their online realm with Scala's trusty sword, slashing through dark forests of data while keeping their readers in the light.

Scala Alternatives


Kotlin


Kotlin is a statically typed programming language that runs on the JVM, fully interoperable with Java, and offers concise syntax.



// Kotlin example to create a list and filter it
val numbers = listOf(1, 2, 3, 4)
val even = numbers.filter { it % 2 == 0 }


  • Concise syntax reduces boilerplate

  • Full Java interoperability

  • Official language for Android development



Java


Java is a widely-used class-based, object-oriented language designed for portability and cross-platform applications.



// Java example to create a list and filter it
List numbers = Arrays.asList(1, 2, 3, 4);
List even = numbers.stream()
.filter(n -> n % 2 == 0)
.collect(Collectors.toList());


  • Vast ecosystem and community support

  • Platform-independent (Write Once, Run Anywhere)

  • Somewhat verbose compared to Scala



Clojure


Clojure is a dynamic, general-purpose language that emphasizes functional programming and targets the JVM.



;; Clojure example to create a list and filter it
(def numbers [1 2 3 4])
(def even (filter even? numbers))


  • Emphasis on immutability and functional programming

  • Richer set of concurrency primitives

  • Syntax may be unfamiliar to those not versed in Lisp

Quick Facts about Scala


Meet Scala, The Connoisseur's Choice for Functional Programming



You see, back in 2004, a computer science whiz named Martin Odersky decided that the world needed a pinch of functional seasoning in its object-oriented stew. Thus, he cooked up Scala, which stands for "Scalable Language." It's like he envisioned a world where Java went to a fancy liberal arts college and became fluent in functional prose — a true renaissance language that combines the best of both worlds.



A Revolutionary Stew: Scala's Type Inference Alchemy



Scala waltzed into the programming party with a trick up its sleeve: type inference. This magical feature means you can be a typing minimalist, and the compiler will still treat you like you've rolled out the syntactic red carpet. You write

val x = 10
and Scala nods with approval, whispering, "Ah, an Int, a noble choice indeed." No need to declare your variable's type like you're announcing royalty; Scala infers it with the elegance of a mind-reading butler.



The Era of Iterative Enlightenment: Scala's Version Carousel



Scala’s version history is like an elegant dance through time, with each step bringing a new flourish to the floor. The language pranced from its debut in 2004 to version 2.0 in 2006, which was its equivalent of landing a triple axel. After many twirls and dips, it lunged into Scala 3 in 2020, which wasn't just a new number but a complete makeover. Talk about a glow-up that left programmers starry-eyed and brimming with functional fervor!

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


































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

  • Write simple Scala functions and classes under supervision

  • Fix bugs and contribute to code reviews

  • Learn from more experienced developers and through codebase exposure


Middle2-570,000 - 100,000

  • Independently develop Scala modules

  • Contribute to system design and architecture

  • Mentor Junior developers


Senior5-10100,000 - 150,000

  • Lead complex Scala projects and architecture decisions

  • Optimize code for performance and scalability

  • Resolve high-impact software bugs and issues


Expert/Team Lead10+150,000+

  • Drive technical roadmap and define project scopes

  • Manage a team of developers and conduct performance reviews

  • Interface with stakeholders and ensure delivery aligns with business goals



Top 10 Scala Related Tech




  1. Scala Language



    Imagine a world where Java drank a magical potion and became super agile, flexible, and happy. Welcome to Scala! This language mixes object-oriented and functional programming like chocolate and peanut butter—irresistibly delicious for developers. Here you have the classiness of Java with a functional twist, meaning you can write less code but do more. Plus, its static types prevent bugs in complex applications as if you had an invisibility cloak for errors.



    // A simple Scala "Hello, World!"
    object Hello {
    def main(args: Array[String]): Unit = {
    println("Hello, World!")
    }
    }




  2. Play Framework



    Play Framework is like the Mario of web frameworks; it makes building web apps as fun as rescuing Princess Peach. Built on top of Scala and Akka, Play provides a lightweight, stateless, web-friendly architecture. It speeds up development big time and comes with built-in components for everything, from form handling to JSON parsing—like a Swiss Army knife for Scala devs.



    // A minimal Scala Play controller
    class HomeController @Inject()(val controllerComponents: ControllerComponents) extends BaseController {
    def index() = Action { implicit request: Request[AnyContent] =>
    Ok("Welcome to Play!")
    }
    }




  3. Akka Toolkit



    Picture an army of tireless robots handling your scale-out tasks. That's Akka for you, turning your Scala programs into a reactive tour de force. It implements the actor model, allowing for thousands of concurrent "actors" (like mini-programs) without the usual thread-gymnastics. Akka handles everything from concurrency to distributed computing, letting you focus on being brilliant.



    // Simple Akka actor example
    class GreetActor extends Actor {
    def receive = {
    case "Hello" => sender() ! "World"
    }
    }




  4. Spark



    Enter the data gladiator arena with Apache Spark. It crunches data at lightning speed and is your go-to when you're drowning in data and need a lifeboat. It's written in Scala, which makes it cozy to use from Scala apps. Spark is perfect for big data analytics, machine learning, or simply impressing people with your data processing muscle.



    // Counting words in Spark
    val textFile = spark.read.textFile("hdfs://...")
    val counts = textFile.flatMap(line => line.split(" "))
    .groupBy(word => word)
    .count()
    counts.show()




  5. Sbt



    Sbt stands for "Scala build tool," but it could easily stand for "Simply Brilliant Tooling." It automates everything that would otherwise be soul-crushingly boring in your Scala project. Dependency management? Covered. Compiling? Yep. Testing? But of course! It's like your own personal robot assistant that loves to handle the mundane stuff so you can play more.



    // Build definition in sbt
    name := "My Awesome Scala App"

    version := "1.0"

    scalaVersion := "3.0.0"

    libraryDependencies += "org.scala-lang" % "scala-reflect" % scalaVersion.value




  6. ScalaTest



    With ScalaTest, writing tests becomes more fun than popping bubble wrap. It's flexible and lets you write test code in a style that suits your mood. Want to be descriptive? Go for Behavior-Driven Development (BDD) style. Feeling terse? There's a shorter style for that. With ScalaTest, testing is no longer a chore; it's more like a stress-relieving side quest.



    // A simple ScalaTest example
    class ExampleSpec extends FlatSpec with Matchers {
    "The Hello object" should "say hello" in {
    Hello.greeting shouldEqual "Hello, World!"
    }
    }




  7. Scala.js



    Why should JavaScript have all the fun in the browser? Scala.js brings Scala's powerful tools to front-end development. It compiles Scala to JavaScript so you can write sturdy front-end code without touching the JS. Think of it as giving your front-end the brain of a Scala dev and the brawn of JavaScript's ubiquity.



    // A scala.js DOM manipulation example
    object ScalaJSExample extends js.JSApp {
    def main(): Unit = {
    document.getElementById("scalajsShoutOut").textContent = "Scala.js shouts: Hello browser world!"
    }
    }




  8. Cats



    Cats in the Scala world aren't fluffy creatures but a library providing abstractions for functional programming. These are the kind of cats that mathematicians would own—sleek, elegant, and very abstract. They help you handle data and transformations in a more principled and compositional manner, letting your code purr with delight.



    // Using Cats for functional data handling
    import cats.implicits._

    val result = (Option(1), Option(2)).mapN(_ + _)
    result shouldEqual Option(3)




  9. Shapeless



    Houdini should be jealous because with Shapeless, your data types and structures become as malleable as rubber. It's a library for generic programming that allows you to abstract over arity, work with heterogenous lists, and much more. It turns the Scala type system into a playground where even the swings can transform into slides if you wish hard enough.



    // A simple Shapeless HList example
    val product = "Sunday" :: 1 :: true :: HNil

    // product is now a HList with mixed types




  10. Scalaz



    Scalaz is like Cats' sibling with a different philosophy on life. It's another library that's chock-full of functional programming goodies. If you ever thought, "I wish I could write Scala code that looks like it was written by Gandalf," Scalaz is your magic staff. Embrace monads, functors, and other fantastical FP concepts and turn your code into a quest for glory.



    // Example of using Scalaz to handle validation
    import scalaz._
    import Scalaz._

    val readInt: String => Validation[String, Int] = s =>
    Try(s.toInt).toOption.toSuccess(s"$s is not a number.")

    val result = readInt("5") |@| readInt("cat") apply(_ + _)
    // result is a Validation containing an error message


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