Hire Backend/Data Engineers
Backend/data engineers are responsible for designing and implementing systems that collect, process, and convert raw data into valuable information which can be utilised by data scientists and business analysts in a variety of contexts. The ultimate goal of these systems is to make data more accessible to businesses, so they are able to evaluate and enhance their performance. Additionally, these engineers are expected to use the appropriate technologies in order to build the required components for the backend of a website.
As a Backend/Data Engineer, you are responsible for developing the underlying architecture of a software application. This includes collaborating with other professionals, such as Front-end Developers, Testers, Product Managers, and Principal Architects. With data becoming increasingly valuable in the business world, there is high demand for skilled Backend/Data Engineers. Therefore, do not hesitate to apply for remote Backend/Data Engineer positions as they are a great opportunity to progress in your career.
What does backend/data engineering entail?
As the proliferation of technology-driven businesses continues to expand, the demand for backend and data developers has rapidly grown. Many organisations are leveraging the skills of remote backend and data professionals to guarantee software scalability and security. The emergence of artificial intelligence and machine learning has opened up new opportunities for a new wave of entrepreneurs, who are utilising these advancements to capitalise on the supply-demand imbalance. As more and more innovative products are being developed, backend and data developers are presented with more prospects than ever before.
In addition, as an increasing number of businesses start to utilise Big Data to acquire valuable insights, the need for data-related employment is continually growing. This is especially true for engineers who specialise in data. Companies are in search of proficient backend/data engineers who have the capability to manage massive amounts of intricate data to provide meaningful business insights. The pay potential for a backend/data engineer role has also increased due to the fact that it requires a high degree of proficiency and expertise in Big Data.
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 organisational 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?
Although the significant expertise and capabilities required for these types of programming roles may appear daunting, anyone who has a genuine enthusiasm for the field, as well as the ability to perform some of the tasks outlined above, may be able to secure remote backend/data engineering work.
Attending college is a common starting point for individuals looking to acquire the skills necessary for a career as a backend or data engineer. A degree in computer science can provide you with a reliable foundation and demonstrate your credentials. However, pursuing a college degree is a costly and time-consuming endeavour, and if you had poor grades in high school, you might not be able to attend a college that will benefit your resume in the backend/data engineer job market.
An alternative to a three or four year degree program may be to enrol in a boot camp program. These programs are offered either in person or online and focus on providing the necessary knowledge and skills in the languages relevant to backend or data engineering roles. The advantage of this option is that it can be both more cost-effective and faster than pursuing a degree. However, the length and cost of the program may vary depending on the boot camp.
No matter what path you take to pursue a career as a remote backend/data engineer, you can be certain that you will have a plethora of job opportunities and a promising future ahead of you.
Backend/data engineer skills are needed.
The first step in achieving a successful career as a backend/data engineer is to acquire the necessary skills and abilities. It is important to analyse each of the technical competencies required in order to secure positions with higher remuneration.
PythonIf you have aspirations to become a remote backend/data engineer, it is essential to hone your skills in Python programming. Python is a widely used computer language, and it is not difficult to understand why. It has been implemented across countless sectors, including healthcare, banking, and travel, and is capable of managing both simple and complex web applications. Python’s syntax has enabled companies such as Spotify, Instagram, Disqus, and Dropbox to create powerful programs. Therefore, brushing up on your Python proficiency is an essential step in succeeding in the world of remote backend/data engineering.
PHPPHP (Hypertext Preprocessor) is a widely-used server-side scripting language. Unlike Python and Java, it does not require compilation and executes scripts at runtime to automate routine tasks or improve the performance of an application. For aspiring programmers, having knowledge of PHP can be beneficial in securing the best positions as a backend or data engineer, even without the need to be proficient in other major programming languages.
SQLSince the American National Standards Institute (ANSI) officially adopted Structured Query Language (SQL) as an industry-wide standard in 1986, it has become the primary language used by online backend developers to access and manage relational databases. SQL allows programmers to swiftly add and delete entries, run database searches, create new tables and stored procedures, and assign privileges to tables and processes. It is an essential knowledge if one desires to work with relational databases, which is necessary for backend/data engineer positions. Given its long-standing status as an industry standard, SQL is a notable exception to the notion that technology can become outdated quickly.
GitGit is a powerful and highly popular version control system that is ideal for modern development. It is continually being improved and is open source, created by the same individual who developed the Linux operating system. With a working copy of the code, each developer has instant access to the entire history of modifications, making it simple to modify and restore the code. Git is a strong, versatile and secure platform for online back-end development.
Hadoop and SparkThe Apache Hadoop software library is a framework that utilises basic programming principles to enable the distributed processing of large data sets across a variety of computing devices. Its versatility allows it to scale from a single server to thousands of machines, each with its own processing and storage capabilities. This framework is supported by several programming languages, including Python, Scala, Java, and R. Hadoop is a powerful technology for managing the vast amount of data generated today; however, it is not without its drawbacks, such as an increased processing time and a high level of coding knowledge required. Apache Spark is a data processing engine that provides stream processing, allowing for real-time data input and output.
Data warehouseA data warehouse is an organised and queryable relational database system that provides a long-term view of data over extended periods of time. By comparison, a database is regularly updated with real-time data to reflect the most current information. Consequently, it is essential that backend/data engineering candidates demonstrate proficiency with popular data warehousing systems such as Amazon Web Services and Amazon Redshift. In fact, familiarity with AWS is a requirement for most backend/data engineering positions.
AzureMicrosoft Azure is an increasingly popular cloud computing platform for businesses and organisations of all sizes looking to build large-scale data analytics applications. With an integrated analytics solution that is easy to deploy, Azure simplifies the setup and maintenance of servers and applications. Additionally, developers are provided with a wide array of pre-built services, ranging from data storage to powerful machine learning, to make the most out of their application. This has led to a growing number of data engineers who specialise in the Microsoft Azure platform.
How can I acquire a job as a remote backend/data engineer?
After evaluating the skill requirements for a successful remote backend and data engineering job, it is important to remember that the most fundamental element is practice. As the industry continues to grow and becomes more profitable, more and more people will enter the field, creating a highly competitive environment. To stay ahead of the competition and develop a successful career, it is essential that you stay informed of the latest industry trends and developments. With this in mind, make sure to dedicate adequate time to practice and stay up to date with the changing landscape.
Working with Works can open up a wealth of opportunities for backend and data engineers looking for a career-defining role. Our remote backend and data engineering positions offer the chance to hone your skills by working alongside experienced professionals on challenging technical tasks. Plus, you’ll join a global network of the world’s best backend and data engineers, with the potential to gain full-time, long-term employment offering greater salary and career prospects.
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.
- Analyse and organise raw data in preparation for predictive and prescriptive modelling.
- 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
- 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
- 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 Agile Scrum techniques
- Outstanding organisational and interpersonal abilities