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Microsoft Azure Data Fundamentals Jobs (NOW HIRING)

Data Engineer (AWS, Azure, GCP)

Reston, VA · On-site

$119K - $143K/yr

AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career ...

Lead Azure ADF Developer

Rolling Meadows, IL · On-site

$55.25 - $68.75/hr

Manage and optimize data pipelines ensure data quality compliance * Experience in Building and Designing cloud applications using Microsoft Azure cloud technologies * Experience in Azure stack Azure ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • ...

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How much do microsoft azure data fundamentals jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for microsoft azure data fundamentals in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microsoft Azure Data Fundamentals professional, and why are they important?

To thrive as a Microsoft Azure Data Fundamentals professional, you need foundational knowledge of core data concepts, relational and non-relational data types, and basic cloud computing principles, often supported by the Microsoft Certified: Azure Data Fundamentals certification. Familiarity with Azure data services such as Azure SQL Database, Cosmos DB, and data visualization tools like Power BI is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you interpret business needs and present insights clearly. These skills and qualities are essential for managing data solutions efficiently in cloud environments and supporting informed decision-making for organizations.

What jobs can I get with Microsoft Azure Data Fundamentals?

Microsoft Azure Data Fundamentals certification prepares individuals for roles such as data analyst, data engineer, or cloud support associate, focusing on basic understanding of cloud data services and tools like Azure SQL Database and Azure Data Factory. These roles typically require knowledge of data management, SQL, and cloud concepts, and serve as entry points into cloud data careers.

What is the difference between Microsoft Azure Data Fundamentals vs Data Analyst?

AspectMicrosoft Azure Data FundamentalsData Analyst
CertificationsAzure Data Fundamentals (DP-900)Typically no specific certification, but often requires SQL or data analysis certifications
Work EnvironmentCloud-based, primarily using Azure platformBusiness environments, using data analysis tools and databases
Industry UsageIT, cloud services, data managementBusiness, finance, marketing, and other sectors requiring data insights
Job FocusUnderstanding cloud data concepts and Azure servicesInterpreting data, creating reports, and supporting decision-making

Microsoft Azure Data Fundamentals provides foundational knowledge of cloud data concepts and Azure services, ideal for those starting in cloud data roles. Data Analysts focus on analyzing data to generate insights, often using various tools and databases. While both roles involve data, Azure Data Fundamentals emphasizes cloud platform understanding, whereas Data Analysts focus on data interpretation and reporting.

What is Microsoft Azure Data Fundamentals?

Microsoft Azure Data Fundamentals is an entry-level certification designed to validate foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. It is intended for individuals seeking to demonstrate their understanding of relational and non-relational data, analytics workloads, and basic cloud data services on Azure. This certification is ideal for beginners and serves as a starting point for more advanced Azure certifications in data and analytics.

What types of projects or tasks can someone in a Microsoft Azure Data Fundamentals role expect to work on?

In a Microsoft Azure Data Fundamentals role, you can expect to work on foundational projects involving data storage, processing, and visualization within the Azure ecosystem. Typical tasks may include setting up and managing Azure SQL databases, configuring data pipelines using Azure Data Factory, and utilizing Azure Synapse Analytics for data integration and analysis. You'll often collaborate with data engineers, analysts, and IT teams to ensure data solutions are secure, scalable, and aligned with business needs. This role provides an excellent opportunity to build hands-on experience with cloud-based data services and can be a stepping stone toward more advanced data or cloud positions.
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What are the most commonly searched types of Microsoft Azure Data Fundamentals jobs? The most popular types of Microsoft Azure Data Fundamentals jobs are:
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Infographic showing various Microsoft Azure Data Fundamentals job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Reston, VA • On-site

$119K - $143K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Job description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. 

Specific responsibilities for the Data Engineer – Cloud position include:  

  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) 
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly 
  • Utilizing your skills in engineering best practices to solve complex data problems 
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.  
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each 
Qualifications

Typical experience for successful candidates includes:    

  • Experience delivering solutions on a major cloud platform 
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture 
  • Experience in the design and implementation of data architecture solutions 
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines 
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.   
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. 

Skills: 

Successful candidates usually have demonstrable experience with technologies in some of these categories:  

  • Languages: SQL, Python, Java, R, C# / C++ / C 
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle 
  • DevOps: git, docker, subversion, Kubernetes, Jenkins 
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR 
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. 
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.

CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.