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Senior Microsoft Azure Data Engineer Jobs in Maryland

Pwc

Data Engineer - Senior Associate

Baltimore, MD

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

My3Tech Inc

Azure Data Architect

Frederick, MD · Hybrid

$63.25 - $82.25/hr

Several years of experience in IT, focusing on data engineering, consulting, or architectural roles ... Microsoft Azure. * In-depth understanding of data security, cloud-based networking, and data ...

Pwc

Data Engineer - Manager

Baltimore, MD

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

FCP

Sr. Data Engineer - FCP Tech

Chevy Chase, MD · On-site

$122.10K - $146.60K/yr

Sr. Data Engineer Real estate private equity is an exciting industry with the power to shape ... Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as ...

Pwc

Data Engineer - Senior Manager

Baltimore, MD

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Hyertek

Cloud Engineer (Microsoft Azure)

Rockville, MD · On-site

$110K - $130K/yr

... data analytics, and modernization services to government agencies. With deep expertise across ... HyerTek is hiring an Azure Cloud Engineer to design, build, and operate the cloud infrastructure ...

HyerTek Inc.

Cloud Engineer (Microsoft Azure)

Rockville, MD · On-site

$56.75 - $76/hr

... data analytics, and modernization services to government agencies. With deep expertise across ... HyerTek is hiring an Azure Cloud Engineer to design, build, and operate the cloud infrastructure ...

HyerTek

Cloud Engineer (Microsoft Azure)

Rockville, MD · On-site

$56.75 - $76/hr

... data analytics, and modernization services to government agencies. With deep expertise across ... HyerTek is hiring an Azure Cloud Engineer to design, build, and operate the cloud infrastructure ...

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Senior Microsoft Azure Data Engineer information

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

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Maryland? The most popular types of Microsoft Azure Data Engineer jobs in Maryland are:
What are popular job titles related to Senior Microsoft Azure Data Engineer jobs in Maryland? For Senior Microsoft Azure Data Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Maryland look for? The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Maryland are:
What cities in Maryland are hiring for Senior Microsoft Azure Data Engineer jobs? Cities in Maryland with the most Senior Microsoft Azure Data Engineer job openings:
Senior Microsoft Azure Data Engineer jobs near you
Infographic showing various Senior Microsoft Azure Data Engineer job openings in Maryland as of May 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 88% In-person, and 12% Remote job distribution.
Senior Data Engineer (Public Trust)

Senior Data Engineer (Public Trust)

Praescient Analytics

Bethesda, MD • On-site

$113.40K - $154.10K/yr

Full-time

Retirement, PTO

Posted 24 days ago

Job description

Location: Bethesda, MD (Hybrid)
Clearance: Public Trust (Role may require additional background investigations)
Employment Type: Full-Time
US Citizenship is Required
Position Overview:
Praescient Analytics is seeking an experienced Senior Data Engineer to support a major federal data modernization and analytics program. This role is responsible for the design, development, optimization, and operational support of scalable, secure, and high-quality data pipelines that enable advanced analytics, machine learning, and AI-driven decision support in a regulated government environment.
The Senior Data Engineer plays a critical role in the client's transition from legacy, on-premises systems to a cloud-native, open-source analytics ecosystem built on Microsoft Azure. This position ensures that data is reliable, performant, well-governed, and readily consumable by data scientists, analysts, and AI/ML engineers supporting mission-critical use cases.
Key Responsibilities:
  • Design, build, and maintain production-grade ETL/ELT pipelines to ingest, transform, and curate large volumes of structured and unstructured data.
  • Develop data workflows using Python-based frameworks and Microsoft Azure services, ensuring scalability, reliability, and fault tolerance.
  • Optimize data pipelines for performance, cost efficiency, and maintainability.
  • Architect and implement data solutions within Microsoft Azure, including:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure SQL and related data services
    • Azure Synapse Analytics
  • Design and manage workflow orchestration using Azure Data Factory (or equivalent) for scheduling, monitoring, and automation.
  • Build and maintain Python-based data services and utilities using open-source libraries such as Pandas, NumPy, and related frameworks.
  • Implement logging, monitoring, alerting, and performance tuning to support operational reliability.
  • Apply data governance best practices, including data lineage, reproducibility, auditability, and compliance with federal standards.
  • Maintain comprehensive documentation, including data dictionaries, pipeline designs, and process flows.
  • Work closely with data scientists, AI/ML engineers, analysts, architects, and Agile project managers to ensure data pipelines meet analytical and operational requirements.

Required Qualifications:
Experience
  • Minimum of 5+ years of experience designing, building, and operating data pipelines supporting analytics and/or machine learning.
  • Demonstrated experience working with large-scale datasets in production environments.
  • Proven experience supporting cloud-based data platforms.
  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field - or equivalent professional experience.

Technical Skills
  • Strong proficiency in Python (Pandas required; NumPy, scikit-learn, and related libraries preferred).
  • Advanced SQL skills and experience integrating relational data sources.
  • Hands-on experience with Microsoft Azure, including Azure Data Lake Storage and Azure SQL.
  • Experience with workflow orchestration tools such as Azure Data Factory.
  • Familiarity with open-source data processing and ETL frameworks.
  • Experience with logging, monitoring, and performance optimization for data systems.
  • Proficiency with Git-based version control and collaborative development practices.
Clearance: Minimum of a Public Trust (U.S. Citizenship is Required)
Preferred Qualifications:
  • Master's degree or higher in Data Science, Computer Science, Engineering, Statistics, or related field - or equivalent professional experience.
  • Microsoft Azure certifications (e.g., Azure Data Engineer Associate) strongly preferred.
  • Experience working in federal, public-sector, or other regulated environments.
  • Familiarity with data engineering patterns for secure, scalable systems.
  • Experience supporting AI/ML workloads, feature engineering pipelines, or near-real-time analytics.

What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Very competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance

Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.
Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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