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Tier2Tek Staffing provides premier employment solutions for Data Engineer staffing.
The main responsibility of the role is to oversee the quality and reliability of a company’s data.
What Does a Data Engineer Do
Looking for a specialist to help implement create and control systems that collect and manage data? Looking for an expert to keep an eye on the quality and safety of your company’s analytical data? You are looking for Data Engineer staffing.
Data is crucial for any business. Not only does it provide information for every facet of an organization, but it may control the outcome of sales, projects, and other crucial processes. If your data is not safe, or not stored properly, you can lose an extreme amount of time and resources. Someone must make sure that your data is accessible and that accessing services is working properly
Overall, a Data Engineer is a software expert that works to create machine-readable data solutions for your business. They create and test architectures that allow other members of your organization (i.e. data scientists and analysts) to safely access and observe crucial data. Basically, they are the ones to create data-containing systems.
According to GlassDoor, the average salary for a Data Engineer is $112,374 a year.
- Firstly, completes programming solutions when problems arise.
- Secondly, interacts with users for programming specification clarification and detail.
- Thirdly, writes technical documentation.
- Finally, provides user support for business associates via phone, email, and in-person.
- Performs software testing.
- Has the willingness to work outside standard business hours to resolve issues or complete special projects.
- Tracks and maintains constant communication with the customer from the beginning to the end of any established case, issue, or concern.
- Remains highly adaptable.
- Manages data extraction and ETL tasks.
- Builds reports to specifications of management, finance, and regulators.
- Maintains the data schema of core systems and updates them as needed.
- Establishes engineering best practices and methodologies to ensure data transformations and computations are accurate, efficient, and tested.
Why Work With Tier2Tek Staffing?
- Overall, we stand by honesty and communication. We stay in contact with you throughout the entire hiring process. There are no hidden fees or stipulations.
- Furthermore, we assign every client a personalized account manager. This allows us to learn about your company’s culture and candidate qualifications.
- Finally, we have a national database of prescreened candidates ready to work. We can fill any hiring volume with efficiency.
If and when you need a reliable staffing agency that can fulfill your direct-hire staffing needs, Tier2Tek Staffing is the right choice.
Overall, Tier2Tek Staffing has a dedicated team of recruiters that have strategies and resources for attracting and retaining top talent in any organization.
Common Skills for Data Engineer Staffing
Due to the majority of company data and cloud systems using the Microsoft Azure platform, the data engineer candidate should be an expert on Microsoft Azure and all correlating programs. Ultimately, Microsoft continues to be the cornerstone of modern IT, so an overall knowledge of its programs is crucial. The candidate may have a Microsoft Certified Systems Engineer (MCSE) certification, showing their overall knowledge of Microsoft networks, but it isn’t a necessity.
If a company doesn’t use Microsoft Azure as its main data platform, they most likely use Linux. Therefore, to remain up-to-date and well-versed in all data engineering facets, the candidate should be accustomed to working with Linux programs.
Due to creating and looking over the company’s data systems for issues, the candidate should be an expert at troubleshooting. Once the Engineer goes about installing and creating the data system, the rest of their responsibilities will surround upkeep. Therefore, the professional should have expert troubleshooting skills, giving them the ability to quickly pinpoint and fix issues, keeping the company running smoothly.
Other Parallel Career Paths and Jobs
Extremely similar to the Data Engineer, the Data Center Engineer finds themselves working on an overall platform, rather than a specific data convergence. These specialists oversee selecting and managing the infrastructure as a Service (IAAS) platform. Additionally, they build out data centers that act as cloud infrastructure. Their primary role is to transition local infrastructures to cloud-based services, ultimately saving companies money and time.
The Database Administrator is responsible for capturing and storing essential data for the business. Moreover, they work closely with information systems managers to build databases based on corporate needs.
Some of their work includes debugging code and upgrading software. Furthermore, they are responsible for securing the data of an organization and ensuring the protection of the data. They are also responsible for restoring lost data, creating permissions for users, building and testing modifications, integrating with legacy databases, and maintaining SLAs based on business requirements.
The Azure Engineer is, at its core, the same job. The difference is the cloud computing platform used.
Firstly, Azure is a cloud-based software created by Microsoft in 2008. The cloud computing platform allows businesses to ensure services such as analytics, virtual computing, storage, and networking across an accessible platform. Businesses can tap into Azure anywhere, allowing for mobile service.
The Azure Engineer helps the company integrate Azure into its day-to-day. Furthermore, they are available to troubleshoot any issues related to the cloud service. Also, they are available to train and teach other employees how to use the software, manage user accounts and create reports.