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Functional Programmer

Functional programmers bring a mathematical lens to the world of computer science. They specialize in a style of programming that transforms data in a series of mathematical expressions. This role can stand alone as a career or be used to bolster skills in related fields.

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Functional programmers bring a mathematical lens to the world of computer science. They specialize in a style of programming that transforms data in a series of mathematical expressions. This role can stand alone as a career or be used to bolster skills in related fields.

Technical Requirements

Functional programmers need to have a strong understanding of mathematical theories, discrete math and calculus in particular, to apply these principles to their code. Expertise in a functional programming language such as Scala, Haskell, or F# is required. They should also have foundational knowledge of computer science principles including:

  • Programming fundamentals
  • Data structures
  • Algorithms
  • Type theory

Job Description

Functional programmers are responsible for writing and maintaining code according to mathematical principles which promote reliability and clarity. They may be tasked with:

  • Designing and implementing algorithms in a functional programming style
  • Translating product requirements into functional code
  • Developing and maintaining functional programming tools and libraries
  • Working with other engineers to ensure code quality and performance
  • Researching and learning about new functional programming techniques

Education

While some functional programmers do have a formal bachelor's degree in computer science or a related field, many in the field have self-taught through online courses and tutorials. However, completing a full course of study in computer science or software engineering can provide a solid foundation and is often a starting point for functional programmers.

Those without a formal education can utilize online courses as a way to pivot into functional programming, enhance their knowledge to complement their current career, or to prepare for a formal computer science program.

Day-to-Day

The day-to-day of a functional programmer typically involves working independently or alongside a team of developers and engineers. They will spend much of their time:

  • Writing and debugging code
  • Writing and reviewing documentation
  • Learning about new functional programming techniques
  • Collaborating with other team members
  • Working on projects with tight deadlines

Career Growth

With experience and the acquisition of new skills, functional programmers can progress to positions such as:

  • Senior Functional Programmer
  • Lead Functional Programmer
  • Technical Lead or Architect
  • Manager of Software Development
  • Chief Information Officer

Transferable Skills

Functional programmers have a variety of skills that can be applied to a range of other roles, including:

  • Analytical and problem-solving
  • Mathematical modeling
  • Algorithmic thinking
  • Attention to detail
  • Ability to work independently and as part of a team

Self-Guided Projects

For individuals interested in learning more about functional programming or improving their functional programming skills, several projects can be completed without matriculating into a degree or training program. Some of these projects include:

  • Building a simple functional programming language
  • Writing a compiler for a functional programming language
  • Developing a functional library for a specific problem domain
  • Applying functional programming techniques to a real-world problem
  • Building a full-stack web application using a functional programming language and framework

Online Coursework

Many online courses are available to help one prepare for a career as a functional programmer. Online courses offer learners the opportunity to start, pause, and revisit lessons at their convenience while providing:

  • Lectures on functional programming concepts
  • Videos offering real-world examples of functional programming
  • Coding projects for hands-on experience
  • Assignments and quizzes to test knowledge retention
  • Interactive forums for discussion and networking
  • Exams to monitor progress
  • Peer-reviewed assignments and projects to gain constructive feedback

Online coursework, whether it results in a degree, certificate, or independent study, can provide a solid learning environment to enhance one's grasp of functional programming.

While online courses can provide a good foundation and support a transition into this field, they alone are not often enough to fully prepare one for this role. It is important to supplement online learning with personal projects and collaborative work when preparing to become a functional programmer.

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Salaries for Functional Programmer

City
Median
New York
$167,000
San Francisco
$170,000
Austin
$202,000
See all salaries
City
Median
New York
$167,000
San Francisco
$170,000
Austin
$202,000
Toronto
$162,000
London
£97,000
Paris
€83,000
Berlin
€108,000
Tel Aviv
₪445,000
Beijing
¥450,000
Shanghai
¥488,000
Bengalaru
₹1,500,000
Delhi
₹1,280,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Functional Programmer

Take the first step.
We've curated two courses to help you on your path to Functional Programmer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
A classic text on Haskell, a purely functional programming language, providing a comprehensive overview of first-class functions, lazy evaluation, and type systems. Written by one of the pioneers of Haskell, this book is highly recommended for advanced functional programmers.
Provides a comprehensive overview of implicits in Scala. It covers the basics of implicit conversions, implicit parameters, and implicit classes, and it also discusses more advanced topics such as type classes and macros.
A comprehensive guide to first-class functions in JavaScript, covering concepts, patterns, and best practices. is ideal for intermediate JavaScript developers looking to enhance their understanding of functional programming principles.
A practical guide to using Haskell for real-world applications, with a focus on first-class functions, concurrency, and type-safety. Suitable for intermediate Haskell developers who want to apply functional programming principles to practical problems.
A fast-paced introduction to Scala, covering both object-oriented and functional programming concepts, including first-class functions. is suitable for beginners and intermediate Scala developers who want to learn the basics of functional programming.
A German-language introduction to functional programming in F#, covering first-class functions, immutable data structures, and type systems. is suitable for beginners and intermediate F# developers who want to learn functional programming.
Provides a comprehensive overview of Scala. It covers the basics of the language, including implicits, and it also discusses more advanced topics such as type theory and concurrency.
An in-depth exploration of functional programming in Scala, with a focus on first-class functions, higher-order functions, and immutable data structures. Suitable for experienced Scala developers who want to deepen their understanding of functional concepts.
An in-depth exploration of advanced Scala topics, including advanced type systems, concurrency, and functional programming techniques. is suitable for experienced Scala developers who want to expand their knowledge and skills.
A classic text on the Scheme programming language, introducing functional programming concepts through a series of puzzles and exercises. While not explicitly focused on first-class functions, this book provides a gentle introduction to functional programming principles.
Introduces the concept of domain-driven design (DDD) and shows how to apply it to functional and reactive programming in Scala. Implicits are used extensively in DDD, and this book provides a good overview of how they can be used to improve the expressiveness and maintainability of your code.
Introduces the basics of data science and shows how to apply them to real-world problems using Scala. Implicits are used extensively in data science, and this book provides a good overview of how they can be used to improve the efficiency and accuracy of your models.
Introduces the basics of machine learning and shows how to apply them to real-world problems using Scala. Implicits are used extensively in machine learning, and this book provides a good overview of how they can be used to improve the efficiency and accuracy of your models.
Provides a quick and easy introduction to Scala. It covers the basics of the language, including implicits, and it also provides a number of exercises to help you practice what you learn.
Provides a gentle introduction to Scala. It covers the basics of the language, including implicits, and it also provides a number of exercises to help you practice what you learn.
Provides a collection of recipes for solving common problems in Scala. It covers a wide range of topics, including implicits, and it provides a number of helpful tips and tricks.
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