Backend/Data Engineers

Hire Backend/Data Engineers

Backend/data engineers design systems that gather, analyze, and turn raw data into information that data scientists and business analysts may use in a variety of settings. The ultimate objective is to make data more available to businesses so that they can assess and improve their performance. They also employ the technologies necessary to create items for a website’s backend.

A backend/data engineer is also in charge of creating a software application’s structure. Front-end developers, testers, product managers, and principle architects are some examples. Backend/Data engineers are in high demand as more businesses depend on data to make business decisions. As a result, you should not be afraid to apply for remote backend/data engineer positions. It is an excellent chance to further your career!

What does backend/data engineering entail?

As the number of tech-based enterprises grows, backend/data developers are in great demand. Remote backend/data professionals are used by businesses to ensure software scalability and security. AI and machine learning developments have paved the way for a new generation of entrepreneurs. These entrepreneurs are doing all they can to profit on the demand-supply mismatch. As new products are created, backend/data developers will have additional chances.

Furthermore, as more businesses get on the Big Data bandwagon and mine data for useful insights, the need for data-related employment grows by the day. This guideline applies to engineers who deal with data. Companies are continually on the lookout for competent backend/data engineers capable of working with enormous volumes of complicated data to give relevant business insights. Backend/data engineer job pay potential has also increased, since the role involves a high degree of Big Data expertise and ability.

What are the duties and obligations of a backend/data engineer?

The following are the major tasks after getting remote backend/data engineer employment.

  • Database creation, integration, and upkeep
  • When developing server-side apps, use frameworks (backend frameworks).
  • Use web hosting, cloud computing integration, and server-side programming languages.
  • Content management system development, implementation, and upkeep
  • Integration of APIs
  • Prevent hacking and keep security settings up to date.
  • Create data and analytics for reporting purposes.
  • Use technology for backing up and restoring a website’s files and databases. Use contemporary data security and governance methods.
  • Create detailed designs based on complicated functional and technical specifications.
  • Data may be stored using Hadoop, NoSQL, and other technologies.
  • Make models and discover hidden patterns in data fragments.
  • Integrate data management approaches within the present organizational structure.
  • Contribute to the creation of a solid infrastructure and easy third-party integration.

How can I get a job as a backend/data engineer?

Though the extensive knowledge and abilities necessary for these sorts of programming jobs may seem intimidating, anybody with a genuine interest in the area, as well as the capacity to do at least some of the activities listed above, may earn remote backend/data engineer employment.

There are a few alternatives for learning the required abilities. The most typical starting point is to attend college. When joining the profession, a computer science degree will provide you with a firm foundation and unquestionable credentials. The disadvantages include the money and time required to acquire a full college degrees. Furthermore, if you did not have strong marks in high school, you may be unable to attend a college that will appear well on your CV for backend/data engineer positions.

Another alternative is to enroll in a boot camp program. This may be done in person or online, with the focus on teaching you the languages necessary to apply for backend/data engineer roles. This may be a less costly choice and will almost certainly be faster than a three- or four-year degree, depending on the boot camp.

Whatever route you choose for remote backend/data engineer employment, you can be certain that you will have a bright future with lots of openings and career prospects.

Backend/data engineer skills are needed.

The first stage is to acquire the abilities required to secure high-paying backend/data engineer positions. Let’s look more closely at each of the technical talents.

  1. Python

    If you want to get remote backend/data engineer work, you’ll need to brush up on your Python abilities. Despite having nothing to do with the snake that inspired its name, Python is one of today’s most popular computer languages. The language’s popularity is well-deserved. It has been used in a variety of sectors, including healthcare, banking, and travel, and it is capable of handling both basic and complex web applications. Python’s syntax has been utilized to build programs by industry giants such as Spotify, Instagram, Disqus, and Dropbox.
  2. Java

    Java is a programming language that is mostly used for backend development. Java is mostly created in an Integrated Development Environment (IDE) before being compiled into bytecode, which is low-level code that may be processed by a software interpreter rather than humans, resulting in a more robust system. A JavaScript engine, on the other hand, can generally execute JavaScript in its original syntax. In general, Java can tackle more difficult programming jobs than its front-end relative. Java is a high-performance object-oriented programming language that can operate on any system having a Java Virtual Machine, making it excellent for backend and data engineer work. As a result, it is an important ability to grasp before attending interviews for remote backend/data engineer employment.
  3. PHP

    PHP (Hypertext Preprocessor) is a popular server-side programming language. In contrast to Python and Java, PHP is a scripting language, which means that it executes scripts (programming instructions) at runtime to automate routine operations or increase application performance. Knowing PHP will help an aspiring programmer gain the finest backend/data engineer positions, even though it is not needed for individuals knowledgeable with other main programming languages.
  4. SQL

    SQL is an exception to the rule that technology may soon become outdated. Since the American National Standards Institute (ANSI) designated SQL, or Structured Query Language, as an industry standard language in 1986, online backend developers have used SQL to access and update relational databases as required. SQL allows programmers to input and remove entries rapidly, run database searches, build new tables and stored procedures, and allocate rights to those tables and processes. SQL is essential knowledge if you want to deal with relational databases, which you will almost certainly do if you secure remote backend/data engineer positions.
  5. Git

    Git is a good choice if you’re searching for a widely used contemporary version management system that suits your demands. It is continually being updated and open-sourced, and it was created by the same individual who created the Linux operating system. Each developer who has a working copy of the code gets instant access to the whole history of modifications, making it simple to alter and restore the code. Git is a strong, adaptable, and secure online backend development platform.
  6. Front-end

    This list of backend/data engineer abilities would be incomplete without three crucial programming languages: HTML, CSS, and JavaScript. While these languages are primarily used on the front end, understanding them might be beneficial to backend/data developers. After all, the three are responsible for everything that a visitor sees, from page text to graphics to scrolling drop-down menus. You may be asking why these front-end abilities are necessary for a career as a backend/data developer. In truth, there isn’t much of a difference between the two jobs. Even whether developers specialize in either front-end or back-end development, the abilities necessary for both web development disciplines overlap to some degree. There is no question that if you want to get recruited for remote backend/data engineer jobs, you need build a deep grasp of this talent.
  7. Hadoop and Spark

    The Apache Hadoop software library is a framework that uses basic programming concepts to allow the distributed processing of massive data volumes across clusters of devices. It is intended to grow from a single server to tens of thousands of devices, each with its own processing and storage capacity. Python, Scala, Java, and R are among the programming languages supported by the framework. While Hadoop is the most powerful technology for handling enormous amounts of data, it does have certain downsides, such as delayed processing and a high level of coding. Apache Spark is a data processing engine that allows stream processing, or real-time data input and output.
  8. Data warehouse

    A data warehouse is a queryable and examined relational database. Its goal is to provide you with a long-term view of data throughout time. A database, on the other hand, regularly updates real-time data. Backend/data engineer candidates must be conversant with the most popular data warehousing systems, such as Amazon Web Services and Amazon Redshift. AWS is required for almost all backend/data engineer employment.
  9. Azure

    Azure is a Microsoft cloud platform for building large-scale data analytics applications. With an easy-to-deploy integrated analytics solution, it simplifies server and application setup and maintenance. Pre-built services for everything from data storage to powerful machine learning are included in the package. Due to the popularity of Azure, several data engineers have opted to specialize in it.

How can I acquire a job as a remote backend/data engineer?

We went through the skill requirements needed to obtain remote backend/data engineer jobs. The most essential thing, though, is to practice as much as possible. There are fresh developments every day. More individuals will join the industry as it grows more profitable, increasing your competition. It will not be difficult to enhance your career if you stay up with current industry trends.

Works has the greatest remote backend/data engineer jobs that can help you achieve your backend/data engineer career objectives. You’ll also get the chance to refine your skills by collaborating with other competent developers to tackle difficult technical difficulties. Join a network of the world’s most excellent backend/data engineers to get full-time, long-term remote backend/data engineer employment with greater salary and career chances.

Job Description

Responsibilities at work

  • Collaborate with a variety of stakeholders to assess company needs.
  • Keep a reliable server with no downtime.
  • Create reusable and scalable code libraries.
  • Plan, construct, and manage data architectures using a methodical way.
  • Analyze and organize raw data in preparation for predictive and prescriptive modeling.
  • Create and manage data pipelines and systems.
  • Improve data quality, dependability, and security
  • Solution planning and implementation for data storage
  • Conduct complicated data analysis and report writing
  • Create analytical tools and algorithms that make use of data pipelines.
  • Monitor key company performance indicators and provide relevant insights

Requirements

  • Bachelor’s or Master’s degree in Data Science/Engineering or Computer Science is required (or equivalent experience)
  • At least three years of experience as a data engineer or in a related job is required.
  • Knowledge of serverless technologies such as Azure Functions, AWS Lambda, and others.
  • Programming languages such as Python, Java, Scala, and others.
  • Understanding of AI/ML algorithms and how they work
  • Knowledge of stream processing technologies such as Spark structured streaming, Azure Stream Analytics, and others.
  • Knowledge of big data technologies such as Hadoop and Spark
  • Previous knowledge of data pipelines/ETL pipelines
  • In-depth understanding of APIs and client SDKs
  • Knowledge of code versioning technologies such as Git, Mercurial, or SVN
  • Knowledge of SQL/NoSQL database systems
  • To communicate successfully, you must be fluent in English.
  • Work full-time (40 hours per week) with a 4-hour overlap with US time zones

Preferred skills

  • SASS and LESS server-side experience
  • Strong understanding of computer science concepts such as data structures and algorithms, distributed systems, and so on.
  • Knowledge of data warehousing solutions
  • Understanding of best practices for DevOps and AWS infrastructure
  • Knowledge of front-end technologies such as JavaScript, HTML5, and CSS3 is required.
  • Knowledge of Agile Scrum techniques
  • Outstanding organizational and interpersonal abilities