Data Warehouse Developers

Engage Data Warehouse Developers

A data warehouse developer is a specialized computer engineer skilled in handling large and complex databases. They possess a comprehensive understanding of data warehousing design principles and practices. To become a data warehouse developer, attending training seminars and workshops that provide hands-on experience in data warehousing concepts is recommended. The training can be supplemented with an entry-level position in database programming to acquire the necessary skills to become a data warehouse pro.

In a company’s business intelligence, data warehouse developers play a vital role in collecting, organizing, and giving out important data and information. They devise, plan, and implement new data warehouses and create both logical and physical data models. Given the significance of data warehousing in the contemporary business context, there is a great demand for data warehouse developers to work remotely.

What’s Involved in Data Warehouse Development?

The Data Warehouse (DW) or Enterprise Data Warehouse (EDW) is an integral part of Business Intelligence (BI) systems. It collects, manages, and transforms data from various sources to provide meaningful business insights. By utilizing the EDW, organizations can analyze and combine data relevant to their business needs, which helps facilitate informed decision-making.

Nowadays, data warehousing is widely used in almost every field that involves analytics, including cloud computing. One can choose to become a data warehouse developer, transition to bigger data technologies or opt for a career in data sciences. With data being a seemingly unlimited domain, there are always opportunities for those interested in remote data warehouse developer jobs.

What Are the Responsibilities of a Data Warehouse Developer?

As a Data Warehouse Developer, your duty is to ensure that the company you work for has access to accurate and current data and information related to Business Intelligence. You should have expertise in several areas, including BI development, data warehousing, data architecture, and implementation. If you work as a remote Data Warehouse Developer, your responsibilities include:

  • Designing and deploying data warehouse solutions that meet the company’s requirements;
  • Evaluating and analyzing the current data warehouse architecture for performance, security, and scalability;
  • Developing and managing data models and ETL processes;
  • Collaborating with end-users to ensure that the data warehouse meets their requirements;
  • Ensuring proper storage and protection of data;
  • Monitoring data warehouse performance and identifying areas for improvement; and
  • Solving any problems or inconsistencies within the system.
  • Consolidate and optimize the current data warehouse architecture to verify and ensure the quality of data.
  • Develop business intelligence and analytics solutions for both internal and external clients.
  • Design and execute ETL processes to extract data from internal and external sources.
  • Define and execute data architecture and ETL processes.
  • Collaborate with key stakeholders to finalize the design and implementation of a data warehouse architecture.
  • Monitor, analyze, and adjust database performance.
  • Assist in the development and expansion of data marts, metadata, and data models.
  • Maintain version control of data warehouse architecture code.

What Is the Path to Becoming a Data Warehouse Developer?

To become a successful Data Warehouse Developer, one must have a lot of experience, hard work, and patience. Enrolling in college-level Data Warehouse courses is the most direct way to begin this journey. Although a computer science degree is a common choice among graduates, it is not necessary to work as a Data Warehouse Developer. It is easy to find remote Data Warehouse development jobs if you are familiar with the technical stacks. It is important to choose a software solution and practice it as much as possible to apply it to various tasks and coding challenges. To demonstrate their abilities and to grow and learn on the job, it is necessary to apply one’s technical knowledge to real-world projects and activities. Developing a portfolio as a Data Warehouse Developer is crucial to show to prospective employers. The following are the skills and techniques required to succeed as a Data Warehouse Developer:

Requirements to Become a Data Warehouse Developer

To prepare oneself for a well-paid position in remote Data Warehouse development, it is critical to thoroughly study the relevant skills. To ensure adequate preparation, let us examine the details you must be familiar with to work effectively with Data Warehouses.

  1. MDX Query

    Multidimensional Expressions (MDX) is a query language used with a database management system for Online Analytical Processing (OLAP). Similar to Structured Query Language (SQL), it provides a calculation language with a syntax similar to spreadsheet formulas. MDX is a specialized vocabulary designed to manipulate and locate multidimensional data in OLAP cubes. Although some MDX expressions can be translated to standard SQL, this process may lead to complex or cumbersome SQL statements. The majority of OLAP providers have embraced MDX as the industry standard.
  2. C#

    C# is a contemporary, object-oriented, and type-safe programming language that empowers developers to create a wide range of secure and reliable .NET applications. Based on the C family of languages, including C, C++, Java, and JavaScript, C# is a language that programmers will find familiar. This tour offers an overview of the main features of C# 8 and previous versions. C# is a robust language that is both scalable and easy to maintain. Its static code structure gives C# programs a high degree of consistency, making them easier to modify and maintain than programs written in other languages. If you ever need to revisit an old C# project, you will be delighted to discover that while the implementation may have evolved over time, the underlying C# stack remains the same. Everything is in its proper place and everything is present.

    The .NET Framework is a comprehensive managed environment for developing, running, and deploying a wide range of applications and services. Its .NET technologies and the Common Language Runtime (CLR) are crucial runtime engines that enable .NET applications to operate efficiently. This development and runtime infrastructure are transforming the way commercial applications are built and deployed. The ASP.NET architecture is made up of Language, Library, and CLR components. Most ASP.NET applications are constructed in a component-based and modular manner.
  4. Adaptive Methodology

    Agile software development is a set of iterative, collaborative approaches to software development that promote disciplined project management, emphasising frequent inspection and adaptation, a leadership style focused on teamwork, self-organisation, and accountability, engineering best practices that support the rapid delivery of high-quality software, and a business-oriented approach that aligns software development with customer needs and company goals. The Agile Manifesto, authored by fourteen software industry professionals, is a compilation of strategies they consider to be the most effective in software development.
  5. Analytical Skills

    Employers appreciate employees who have the ability to analyse problems, devise solutions, and execute them efficiently within deadlines. Analytical skills entail identifying patterns, brainstorming, observing, evaluating data, integrating new information, reasoning, and making decisions based on the available elements. Problem-solving may require the use of either well-defined, rigorous techniques, or more creative approaches to accomplish the desired outcome. In any scenario, analytical abilities are critical.

Where Can I Find Remote Jobs for Data Warehouse Developers?

Data Warehouse developers are in high demand in the IT industry due to the numerous benefits offered by the Data Warehouse architecture. They can provide companies with significant advantages by leveraging the unique features of Data Warehouses. To become an effective Data Warehouse developer, one must put in dedicated effort to achieve a proficient level of software development. Two key objectives should be focused on: seeking assistance from more experienced professionals and finding efficient ways to practice in the field. It is critical to identify the amount of practice necessary to become a proficient developer. Therefore, it is advisable to establish a team to guide and support you throughout the development process.

At Works, we offer the most coveted remote Data Warehouse development jobs. With access to state-of-the-art technology, you will have the opportunity to tackle complex technical and commercial challenges that will enable you to grow and develop quickly. Join our global network of experienced developers to explore long-term full-time remote programming jobs that offer higher salaries and greater potential for advancement.

Job Summary

Job Responsibilities

  • Optimize and consolidate the existing data warehouse infrastructure.
  • Verify and validate the quality of the data.
  • Develop analytics and business intelligence platforms for internal and external clients.
  • Develop and implement ETL methods for extracting data from internal and external sources.
  • Design and implement ETL methods and data architecture.
  • Work closely with key stakeholders to complete the implementation and utilization of data warehouse architecture.
  • Monitor, adjust, and analyze database performance.
  • Support the development and expansion of data marts, meta data, and data models.
  • Manage the data warehouse architecture code using version control system platforms.


  • Hold a Bachelor’s/Master’s degree in engineering, computer science, information technology, or have equivalent experience
  • Must have a minimum of three years of experience in developing and managing data warehouse architecture (with rare exceptions for exceptionally skilled developers).
  • Possess extensive expertise in technologies such as SQL Server, SSIS, and stored procedures.
  • Demonstrate proficiency in code development, quality assurance testing, RDBMS administration, and database monitoring.
  • Possess comprehensive knowledge of highly efficient dimensional modelling techniques and their practical applications.
  • In order to succeed in this position, it is essential to have an in-depth understanding of Tableau, SportFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical technologies.
  • Have a firm grasp of SAS and the R programming language.
  • Possess a thorough understanding of Hadoop, Impala, Pig, Hive, YARN, and other Big Data technologies.
  • Proficiency in English is necessary to ensure effective communication.
  • Work a standard 40-hour workweek with at least a 4-hour overlapping period with US time zones.

Desired skills

  • Required to have knowledge of MDX Query, C#,.NET / ASP.NET.
  • Familiarity with working in an Agile environment.
  • Possess outstanding analytical, consultative, and communication skills.
  • Demonstrate exceptional organizational and time management skills.


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What makes Works Data Warehouse Developers different?
At Works, we maintain a high success rate of more than 98% by thoroughly vetting through the applicants who apply to be our Data Warehouse Developer. To ensure that we connect you with professional Data Warehouse Developers of the highest expertise, we only pick the top 1% of applicants to apply to be part of our talent pool. You'll get to work with top Data Warehouse Developers to understand your business goals, technical requirements and team dynamics.