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Elevate Your Data Game: Discover the Power of Hiring Dedicated Data Engineers

Data plays a pivotal role in decision-making and business success. To harness the full potential of their data, companies are turning to dedicated data engineers as indispensable assets in their teams.

These professionals possess the expertise to design, develop, and maintain robust data architectures, ensuring seamless data flow and accessibility.

By hiring dedicated data engineers, businesses can:

streamline their data processes,
enhance data quality,
and accelerate the development of innovative data-driven solutions.

These skilled individuals not only optimize existing data infrastructure but also contribute to the strategic planning of scalable and future-proof data ecosystems.

In a world where information is king, investing in a team of dedicated data engineers is a strategic move. It can help you move towards unlocking the full power of your data and gaining a competitive edge in the market.

Various data processing tasks & more

What’s the deal with data engineering?

Data engineering is the backbone of any successful data-driven organization, serving as the behind-the-scenes architect that transforms raw data into a valuable resource. It involves the design, development, and management of the infrastructure and systems needed to collect, store, process, and analyze data efficiently.

Data engineers work on creating robust pipelines, ensuring data quality and reliability, and optimizing performance for seamless integration with analytics and machine learning applications. In essence, data engineering bridges the gap between raw, unstructured data and meaningful insights, providing the foundation for informed decision-making within the rapidly evolving landscape of big data. As businesses increasingly rely on data to gain a competitive edge, the importance of data engineering in creating a solid and scalable data infrastructure continues to grow.

What tools do data engineers use?

Data engineers use a variety of tools such as:

ETL (Extract, Transform, Load) Tools
Data Modeling and Design
Scripting and Programming Languages
Data Catalog and Metadata Management
and so much more.

The choice of tools often depends on the specific needs of the project.

Hire data engineering specialists

Tasks our data engineers can take on when part of your development team

Let’s explore some of the tasks Swyply data engineers can take on when they join your team.

Improve performance of data-related operations

Data Infrastructure Optimization

Data infrastructure optimization refers to the process of improving the efficiency, performance, and cost-effectiveness of the systems and components that manage, store, process, and analyze data within an organization. Hiring a data engineer can help you with crucial aspects of this task. Data engineers take care of aspects such as:

Designing & implementing database systems that efficiently store and retrieve data
Designing systems that can scale horizontally or vertically to handle increasing data volumes
Identifying and addressing performance bottlenecks in data infrastructure
Integrating new technologies and tools
Ensuring data quality, integrity, and compliance with governance policies
Implementing security measures to protect sensitive data

A data engineer is instrumental in optimizing data infrastructure by designing and implementing efficient and scalable solutions, ensuring data quality and security, and continuously monitoring and improving system performance. Their work is foundational to the success of data-driven initiatives within an organization.

End-to-end data processing

Data pipeline automation

Data pipeline automation refers to the process of automating the end-to-end flow of data from source to destination, including data extraction, transformation, and loading (ETL) tasks. Data engineers for hire can take on responsibilities such as:

designing the overall architecture of data pipelines

extracting data from various sources
transforming raw data into a usable format
loading data into data warehouses

Furthermore, data engineers often use programming languages such as Python, Java, or SQL to implement the logic of data transformations and pipeline workflows. Furthermore, they use automation to schedule and execute data pipeline tasks. Additionally, they take on tasks that involve monitoring data pipelines. Finally, they also take on the maintenance of data pipelines. These experts ensure that data pipelines are efficient, reliable, and able to meet the evolving needs of the organization.

Data loading, archiving, purging, and more

Data Extraction, Transformation, and Loading

Data Extraction, Transformation, and Loading (ETL) is a crucial process in the field of data management and analytics. It involves gathering raw data from various sources, transforming it into a consistent and usable format, and then loading it into a target database or data warehouse for analysis. ETL is essential for organizations seeking to derive valuable insights from their data by ensuring data consistency, accuracy, and accessibility.

Hiring a data engineer is instrumental in successfully implementing ETL processes. A skilled data engineer possesses the expertise to design and implement robust ETL pipelines, utilizing programming languages and tools to efficiently extract clean, and load data. They understand the intricacies of data structures, database systems, and data integration, enabling them to optimize ETL workflows for performance and scalability.

Overall, a data engineer plays a pivotal role in streamlining the ETL process, facilitating the seamless flow of data, and ultimately empowering organizations to make informed decisions based on reliable and well-organized data.

Data pipeline orchestration

Streamlining information delivery methods

Hiring data engineers is essential for streamlining information delivery methods due to their specialized skills and expertise in managing, processing, and optimizing data. These professionals possess a deep understanding of database systems, data modeling, and ETL (Extract, Transform, Load) processes, allowing them to design and implement efficient data pipelines. By leveraging their knowledge, organizations can ensure the seamless flow of information across various systems, enabling faster and more accurate decision-making.

Data engineers are adept at constructing robust architectures that facilitate the real-time processing of data streams, a crucial capability in today’s fast-paced business environment. Their ability to integrate disparate data sources, cleanse and transform data, and establish scalable infrastructure ensures that the delivered information is not only reliable but also readily available.

Hiring data engineers is an investment in the optimization and efficiency of information delivery methods, ultimately leading to improved business intelligence and strategic decision-making.

Securing data structures

Data security

Data security is a critical aspect of modern business operations, safeguarding sensitive information from unauthorized access, breaches, and data loss. In the ever-evolving landscape of cybersecurity threats, organizations must prioritize robust measures to protect their valuable data assets.

Hiring skilled data engineers is a strategic move for companies aiming to fortify their data security infrastructure. Data engineers play a pivotal role in:

implementing and maintaining secure data storage,
transmission, and processing systems.

They are instrumental in developing:

encryption protocols,
access controls,
and intrusion detection systems

to ensure the confidentiality, integrity, and availability of data.

Additionally, data engineers collaborate with other IT professionals to design and implement comprehensive security strategies, staying abreast of emerging threats and technologies to proactively address potential vulnerabilities. By investing in a competent team of data engineers, organizations can enhance their overall cybersecurity posture and instill confidence in stakeholders that their data is well-protected.

Data warehousing

Data warehouse solutions

Data warehousing solutions play a pivotal role in modern business strategies, serving as centralized repositories that store and organize vast amounts of structured and unstructured data from various sources. These solutions enable organizations to glean valuable insights, make informed decisions, and enhance overall business intelligence.

Hiring data engineers is crucial for successfully implementing and maintaining data warehousing systems. Data engineers possess the expertise to design, build, and optimize the underlying infrastructure, ensuring efficient data processing, storage, and retrieval. Their skills in:

data modeling,
ETL (Extract, Transform, Load) processes
and database management

contribute to the seamless integration of diverse data sets within the warehouse. Collaborating with data engineers empowers businesses to harness the full potential of data warehousing solutions, driving innovation and strategic decision-making.

One real-life example of data warehousing is the implementation at a retail giant like Walmart. By employing data warehousing, Walmart can optimize its operations, enhance inventory management, and make data-driven decisions to improve customer experiences. This real-time access to comprehensive data enables Walmart to respond quickly to market trends, adjust pricing strategies, and streamline its supply chain for better overall performance.

Hire a data engineer to expand your team

Services you can expand with big data engineers on your team

Let’s check out some of the services you can expand with the help of staff augmentation data engineers.

Data consultation

Data consulting typically involves providing expert advice and guidance on various aspects of handling and managing data within an organization. Data engineers play a vital role in implementing the technical aspects of these solutions. Some of their responsibilities within this context would include designing, building, and maintaining data pipelines. Moreover, they can create models, manage data structures, ensure security and so much more. A data engineer may work closely with data scientists and analysts to understand their data requirements and provide them with the necessary infrastructure and tools.

Data infrastructure

Data infrastructure is the backbone for managing and utilizing data effectively to support various business functions. The data infrastructure consists of many things such as a set of technologies and tools that enable to collection, storage, and management of data. It is essential for businesses in order to make informed decisions, derive insights, and drive innovation. Data engineers work on tasks ranging from data collection and storage to processing, integration, and security. Thus ensuring that the data infrastructure meets the organization’s needs for reliability, scalability, and performance.

Data development & analysis

Data development and analysis refer to the processes involved in collecting, storing, processing, and interpreting data to derive meaningful insights and support decision-making. These processes are crucial for businesses, organizations, and researchers to make informed choices and understand patterns and trends in their data. Data engineers are instrumental in creating the foundation for data analysis. They build the infrastructure that enables organizations to collect, store, and process data efficiently, allowing data analysts and data scientists to derive valuable insights from the data.

Real-time data processing

Real-time data processing refers to the ability to handle and analyze data as soon as it is created or generated. This approach involves the continuous processing of data streams with minimal delay, enabling organizations to make rapid and informed decisions based on up-to-the-moment information. Data engineers are responsible for building and maintaining the infrastructure and processes that enable organizations to derive insights and make decisions in near real-time based on the latest data. This involves a combination of technical skills, domain knowledge, and collaboration with other stakeholders in the data ecosystem.

Data maintenance

Data maintenance refers to the processes and activities involved in managing and ensuring the quality, accuracy, consistency, and reliability of data over time. A data engineer can take on tasks that include data cleaning, data validation, data enrichment, and overall data quality management. The goal of data maintenance is to keep the data in a database or system up-to-date, error-free, and suitable for analysis or other purposes. They play a crucial role in maintaining the quality, reliability, and security of data within an organization.

Business Intelligence (BI)

Business Intelligence (BI) refers to the use of technology, processes, and tools to analyze and transform raw data into meaningful and actionable business insights. The goal of BI is to help organizations make informed decisions by providing a comprehensive view of their business performance. A data engineer is essential in the BI process as they are responsible for the foundational work of collecting, storing, and preparing data for analysis. They enable organizations to derive valuable insights from their data, ultimately supporting data-driven decision-making processes.

Programming languages

Our technology stack

Our staff augmentation services offer a wide range of tech stack solutions and developers. We have front-end developers, back-end developers, dedicated mobile app developers, and niche developers. Our developers have a seniority level from regular to senior. Moreover, we can also provide you with Junior Developers or Tech Leaders.

We recognize that our clients want software solutions that work for years to come without going obsolete. That’s why our IT talent uses only the latest, most reliable tools and technologies out there to create websites, e-commerce stores, mobile apps, and web applications.

Some technologies our development team uses include JavaScript, React, Angular, Vue, TypeScript, Node, PHP, Laravel, Symfony, Python, Django, .net, GO, Java, Android, iOS, React Native, and Flutter. We also have developers who specialize in Artificial Intelligence, Machine Learning, the Internet of Things, Security, Data engineering, and Automation. This way you can keep up with the latest tech trends & stay competitive.

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Swyply advantage

Why choose Swyply?

Check out the top two reasons why you should choose Swyply to borrow data engineers to extend your team.

In-house talented data engineers

We have an in-house team of highly talented data engineers that you can choose to bring onto your team on a contract basis. Our in-house team consists of Front-End, Back-End, Mobile Developers, and Niche tech developers.

Most of our developers have a minimum of 3 years of experience in any given tech stack. However, if you need a Tech Leader, we can hire this type of specialist for you. Moreover, we can provide you with Junior Developers to meet your project requirements.

Data engineers from partnering 50+ Software Houses

In case we cannot find a data engineer developer from our in-house team, don’t stress, we have partnering companies ready to help us out. We can borrow and hire IT data engineers for you from 1 of 50+ partnering Software Houses. Just like our in-house developers, they possess various experience and programming knowledge.

We take care of this process on our end, and you get the specialist you need without the extra hassle and stress. So, we handle the communication and invoicing with the Software Houses. You do not have to worry about handling anything with a third-party software house.

Why it’s worth hiring the best data engineers via IT staffing?

Benefits of hiring data engineers using IT staff augmentation

Let’s explore some advantages of hiring dedicated data engineers through IT staffing services.

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Fill the skill gap

If your project requires specific skills that are currently lacking, we have the solution for you. We can supply a skilled developer, such as a Data Engineer, to bridge the expertise gap in your team. For instance, if you find yourself in need of a Data engineer to complement your existing development team, we can connect you with an individual possessing the necessary technical skills. Additionally, you have the flexibility to determine the duration for which you require this expertise, whether it’s for short-term or long-term projects.

Full control over the data engineer

When you hire one of our data engineers, they dedicate themselves entirely to your project. They are investing 8 hours each day. They collaborate exclusively with your in-house team. You have the sole authority to oversee and manage their work schedule. You also manage the resources they utilize, mirroring the level of control you would have if they were internally hired as a full-time employee.

Bridge to hire

If you’re in the process of recruiting permanent staff but require software engineers for short-term projects, consider leveraging our data engineering experts. You can engage our data professionals on a temporary basis for a minimum of 3 months while actively seeking a candidate for a permanent role. This approach allows you to maintain project momentum, meet deadlines, and mitigate concerns about financial losses stemming from understaffing. By combining temporary hires with traditional recruitment efforts, you ensure continuity in your projects without compromising on long-term staffing goals.

HIRE TOP DATA ENGINEERS

Process of hiring data engineers

Rent data engineers quickly & add new blood to your team easily. First of all, you need to know what type of developer you want to hire. Once we find suitable applicants, we will schedule job interviews for you. After the interview process, let us know which data engineer(s) you would like to join your project.

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Our Guarantee

Risk-free data engineering coders for hire

Are you worried that the data engineer coder you hire won’t be the right fit and you’ll lose money? We have a solution! We offer a risk-free trial period that lasts two weeks giving you a safeguard in case something changes or is not working out.

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FAQs about hiring dedicated data engineers

Check out some answers to your most frequently asked questions about the hiring process of augmented data engineers.

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The rate to hire one of our developers on an augmented staffing basis varies on the type of expert and seniority level. Our hourly rates range from $15 to $60 per hour. So for example, $15 per hour is for a developer that is at the junior level, whereas, $60 per hour would get you a developer who has high seniority. This would be a developer that specializes in a technology that is in high demand on the market. Moreover, this would be someone who could do more than just code your project, they would be a Tech Leader, meaning they could help with organizing or managing tasks.

Learn more about the price of staff augmentation

A proficient data engineer should possess a diverse skill set that combines technical prowess with effective communication and collaboration abilities. Firstly, expertise in programming languages such as Python, Java, or Scala is paramount, as data engineers need to develop and maintain robust data pipelines and ETL (Extract, Transform, Load) processes.

A solid understanding of databases and data modeling is equally crucial. It enables them to design efficient and scalable data storage solutions. Additionally, proficiency in big data technologies like Apache Hadoop and Apache Spark is indispensable for handling large datasets. Thus ensuring optimal data processing performance.

On the softer side, effective communication stands out as a key skill, allowing data engineers to articulate complex technical concepts to non-technical stakeholders. This skill is essential for successful collaboration within cross-functional teams. Thus fostering a shared understanding of data requirements and ensuring the alignment of data engineering efforts with overall business objectives.

Data engineers and data scientists play distinct but complementary roles in the field of data management and analysis. Data engineers focus on the infrastructure and architecture necessary for collecting, storing, and processing large volumes of data. They design and maintain databases, build data pipelines, and ensure data quality and reliability. Their work involves:

programming skills,
knowledge of distributed systems,
and proficiency in tools like Apache Hadoop or Apache Spark.

On the other hand, data scientists are more concerned with extracting meaningful insights from data. They use:

statistical analysis,
machine learning algorithms,
and domain expertise

to identify patterns, make predictions, and provide actionable recommendations. Data scientists often work with programming languages like Python or R and utilize tools such as TensorFlow or sci-kit-learn. While data engineers lay the foundation for effective data processing. Whereas, data scientists leverage that infrastructure to derive valuable insights and inform decision-making processes.

In essence, data engineers are responsible for building and maintaining the data infrastructure, while data scientists analyze and interpret the data to extract valuable insights.

Hire high-performing on-demand software developers

Feel free to fill in the form below or contact me directly at [email protected]. I’ll get back to you within a few hours!

Dawid Stasiak

CEO & Founder at Swyply

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Testimonials

I cannot speak more highly of the Swyply developers. They have been incredible in how fast they delivered extremely high-quality code, with little to no need for QA. Not only did they deliver on everything that we had spec’ed out, but they also implemented significant improvements on their own. Cannot recommend them enough!

Dan Pilat

Co-Founder at The Decision Lab

Swyply developers are great to work with, reliable, effective, and high quality. Their communication and responsiveness are excellent and we’ve really valued working with them. Highly recommended!

Gordon McLachlan

Managing Director of Primate

Swyply developers have always been a pleasure to work with. They listen carefully to the project requirements, but also offer invaluable feedback and suggestions. I found Swyply efficient, reliable and professional.

Jowita Emberton

CEO & Founder at Brandpa

Data-driven success starts with the right team

Revolutionize your data strategy today with top data engineers!

Your success story begins here – hire data engineers who deliver excellence.

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