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Azure Data Engineer Jobs in Laurel, MD (NOW HIRING)

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

S Linx LLC

Azure Data Consultant

Reston, VA · On-site

... computer engineering, or data analytics; Or equivalent combination of education, skills, and ... Azure Integrations tools such as Logic Apps, ADF, Function Apps · Experience with Azure data ...

Pwc

Data Engineer - Manager

Baltimore, MD

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Dlapiper

Data Engineer

Baltimore, MD

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

... claims processing and leveraging Azure technologies for data management and reporting ... Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Pwc

Data Engineer - Senior Associate

Baltimore, MD

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Pwc

Data Engineer - Senior Associate

Washington, DC

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse ...

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Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Laurel, MD

Azure Data Engineer information

See Laurel, MD salary details

$44.1K

$128.6K

$176K

How much do azure data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for azure data engineer in Laurel, MD is $128,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.

What are popular job titles related to Azure Data Engineer jobs in Laurel, MD?

For Azure Data Engineer jobs in Laurel, MD, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Laurel, MD look for?

The top searched job categories for Azure Data Engineer jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Azure Data Engineer jobs?

Cities near Laurel, MD with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Laurel, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Cloud Engineer - Data

Cloudforce

National Harbor, MD • On-site

$100K - $140K/yr

Full-time

Re-posted 28 days ago

Job description

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric)

Location: National Harbor, MD (Hybrid)

Type: Full Time

Compensation: $100,000 to $140,000 Annually, subject to experience – plus a performance bonus of up to 10% of annual salary, paid in quarterly increments

If you're a cloud/data engineer who's energized by complex data challenges, passionate about the Microsoft data ecosystem, and ready to do work that actually matters to clients — this is the role you've been looking for.

Cloudforce is seeking an experienced engineer to join our growing data practice. You'll be designing, building, and maintaining sophisticated data solutions on Microsoft Azure and Microsoft Fabric for high-profile clients across the US and Europe — working on projects that are technically demanding and genuinely consequential. This isn't a role where you'll be maintaining someone else's pipelines or responding to tickets. You'll be architecting solutions from the ground up, translating complex business data requirements into scalable, reliable architectures, and contributing to a practice that's at the forefront AI and of the Microsoft data platform.

You'll bring deep expertise in Azure data services, strong hands-on experience with data engineering tools and frameworks, and the communication skills to work effectively with both technical teams and client stakeholders. Like all engineering at Cloudforce, this is a team-oriented role — you'll work alongside fellow engineers as part of structured project teams, with a clear path forward for those who want to grow.

Responsibilities:

  • Design, develop, migrate, and maintain scalable data pipelines and ETL processes on Microsoft Fabric and utilize Azure data & analytics resources. 

  • Design and implement data integration processes to extract, transform, and load (ETL) data from various sources both on-prem, external 3rd party applications, and other cloud providers. 

  • Understand, design and implement data solutions following industry standard architectural frameworks such as Data Mesh, Data Lake, Data Fabric and Data Warehouse architectures. 

  • Design and implement industry standard data modeling techniques for semantic modeling for Power BI such as “Star” or “Snowflake” schemas. 

  • Create data processing workflows and pipelines to support data analytics, machine learning, and other analytic-driven applications. 

  • Implement CI/CD pipelines for automating data engineering processes using Azure DevOps or GitHub. 

  • Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions. 

  • Set up monitoring solutions using Azure Monitor, Azure Log Analytics, Fabric Data Activator, and other Azure solutions to track the performance of data pipelines or analytics workflows to ensure data quality, integrity, and performance. 

  • Work with cloud security teams to set up and configure various Microsoft security solutions such as Purview and Sentinel to monitor and alert security and compliance best practices throughout the data & analytics lifecycle. 

  • Conduct thorough testing and validation of data solutions to ensure the accuracy, completeness, and reliability of the delivered data products. 

  • Implement, optimize, and maintain cost-effective data & analytics solutions by leveraging Azure Cost Management tools and best practices. 

  • Stay updated on industry regulations and implement necessary changes to maintain compliance. 

Qualifications:

  • 3+ years of experience with data engineering, particularly in Azure and/or Microsoft Fabric. 

  • Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage. 

  • Experience with Microsoft SQL Server tools, including SSIS and SSAS. 

  • Experience with data engineering processes using Apache Spark, Python, R, T-SQL, or KQL.  

  • Experience with generating Semantic Models. 

  • Familiarity with Microsoft Power BI for data visualization. 

  • Passion for staying updated on industry trends and emerging data engineering and cloud computing technologies. 

  • Strong communication skills and the ability to collaborate effectively with cross-functional teams. 

Preferred Qualifications:

  • Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert). 

  • Experience with big data technologies such as Hadoop, Databricks, Datafit, Snowflake, or DataLakes. 

  • Experience with real-time analytics technologies such as Azure IoT Hub, Fabric Real-Time Analytics, or Kafka. 

  • Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field. 

You're the Right Fit If You...

  • Get energized by complex data problems and reach for leading-edge tools to solve them. 

  • Thrive in a collaborative team environment — you work well alongside engineers, data professionals, and project managers toward shared goals. 

  • Take a consultative approach — you ask the right questions before you build, and you communicate your decisions clearly. 

  • Care about data quality and reliability as much as you care about building fast. 

  • Want to be part of something beyond the desk — team outings, community service, Friday lunches, and a crew with serious range: D&D campaigns, golfing, book swaps, and everything in between. 

Subject to experience.
About Us
Cloudforce is a spirited team defined by the shared values of excellence, growth, teamwork, passion, giving back, and glee. As technophiles, we thrive on the latest developments in our chosen field of expertise: cloud computing. As humans, we are driven by opportunities to make life better through the thoughtful application of technology. At Cloudforce, these two pursuits combine to form an effective, human-centered approach for making cloud solutions accessible for businesses, app developers, and entrepreneurs, alike. 
 
We offer our employees unique opportunities to learn, grow, and be part of a team that believes in more than just typical nine-to-five activities. We’ve built a culture around openness, inclusiveness, giving back to the community, team building, and growth. Whether it be through monthly team outings, annual trips, or our frequent charitable activities, we’re serious about making each individual feel like they’re part of our team. 
 
 
Why Cloudforce? 
We think the best work happens when people feel genuinely taken care of — so we've built a benefits package that reflects that. 
 
The Essentials
  • Medical, dental, life, and short-term disability insurance covered at 100% of the premium for employees and 50% for dependents 
  • Paid parental leave, including adoption and foster care placement 
  • PTO that grows with you — starting at 15 days, scaling to 20, then 25, plus incentive opportunities to earn even more 
  • 9 company holidays + 2 floating holidays to use however you need them 
  • 401K savings plan and education reimbursement to invest in your future 
 
The Perks 
  • Friday lunch on us — every week, no exceptions 
  • Personalized professional growth plan – an ongoing opportunity to map your own path, stay challenged, and grow with guidance and support from your manager 
  • 24/7 access to a modern gym with Tonal and Peloton 
  • Free monthly garage parking with direct private access to the office 
  • Sun-filled National Harbor offices with Potomac views, steps from shops and restaurants 
  • Access to our proprietary AI platform — available as both a professional tool and for your own productivity 
  • Complimentary snacks, cutting-edge tech, and a workspace you'll actually want to show up to 
 
The Culture 
  • A real career path — not just a job 
  • A team that's tight-knit, community-minded, and genuinely fun to work with 
  • Your ideas heard, valued, and acted on 
 
Want the full picture? Visit gocloudforce.com/careers
 
 
This description highlights the core duties of the position; however, responsibilities may evolve as needs change and opportunities arise. 
 
Cloudforce is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.  
 
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. 
 
Please note - applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.