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Azure Data Engineer Intern Jobs in Linthicum, MD

Deloitte

Data Engineer

Baltimore, MD

$113K - $136K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools ... Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ...

Pwc

Data Strategy & Governance -Director

Baltimore, MD · On-site

$155K - $410K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Peraton

Software/Data Engineer

Laurel, MD · On-site

$176K - $282K/yr

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide ... Azure Solutions Architect a plus Applicants selected will be subject to a government security ...

Peraton

Software/Data Engineer

Laurel, MD · On-site

$176K - $282K/yr

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide ... Azure Solutions Architect a plus Applicants selected will be subject to a government security ...

Peraton

Software/Data Engineer

Laurel, MD · On-site

$176K - $282K/yr

As a Software Data Engineer on our team, you will support one of the largest enterprise-wide ... Azure Solutions Architect a plus Applicants selected will be subject to a government security ...

Deloitte

Data Engineer II

Baltimore, MD

$113K - $136K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools. * Working knowledge of Lakehouse/warehouse architectures and ELT patterns. * Knowledge of DevOps ...

Orrstown Bank

Data Engineering Team Leader

Towson, MD · On-site

$150 - $200/hr

Data Engineering Team Leader Regular - Full time Management Harrisburg, PA, US 23 days ago ... Strong familiarity with cloud platforms like AWS, Azure, or Google Cloud, including relevant data ...

Peraton

Software/Data Engineer

Laurel, MD · On-site

$114K - $137K/yr

They are seeking a Software/Data Engineer to develop, maintain, and enhance complex software ... Azure Solutions Architect a plus Company : Peraton Fearlessly solving the toughest national ...

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All JobsAzure Data Engineer Intern JobsAzure Data Engineer Intern Jobs in Linthicum, MD

Azure Data Engineer Intern information

See Linthicum, MD salary details

$13

$25

$38

How much do azure data engineer intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for azure data engineer intern in Linthicum, MD is $25.09, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.46 per hour, depending on experience, location, and employer.

What does an Azure Data Engineer Intern do?

An Azure Data Engineer Intern assists in designing, building, and maintaining data solutions using Microsoft Azure services. Their responsibilities typically include helping with data integration, transformation, and storage tasks, as well as supporting data pipelines and analytics platforms in the cloud. Interns often work alongside experienced data engineers to learn best practices in data modeling, ETL processes, and use of Azure tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. They may also contribute to troubleshooting data issues and optimizing performance to ensure reliable data delivery.

What types of projects and responsibilities can I expect as an Azure Data Engineer Intern?

As an Azure Data Engineer Intern, you can expect to work on projects involving data integration, transformation, and storage using Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Your daily tasks may include assisting with data pipeline development, supporting data migration initiatives, and collaborating with senior engineers to optimize data workflows. You'll likely participate in team meetings, work closely with data analysts and software developers, and contribute to troubleshooting and improving data solutions. This role offers hands-on experience with cloud-based data engineering tools and an opportunity to learn best practices in a collaborative, fast-paced environment.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer Intern, and why are they important?

To thrive as an Azure Data Engineer Intern, you need a solid understanding of data modeling, SQL, and basic cloud computing concepts, typically supported by coursework in computer science or data engineering. Familiarity with Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI or Python is highly beneficial. Strong analytical thinking, attention to detail, and effective communication enhance your ability to manage data pipelines and collaborate with team members. These skills and qualities are vital for building efficient data solutions and contributing to real-world business insights using cloud-based technologies.

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

AspectAzure Data Engineer InternData Engineer
Required CredentialsBasic knowledge of Azure, SQL, and data fundamentals; often pursuing related degreesAdvanced certifications like Azure Data Engineer Associate, relevant experience
Work EnvironmentInternship setting, learning-focused, Azure cloud platformFull-time professional role, managing data pipelines and architecture
Employer & Industry UsageTech companies, startups, or enterprises using Azure cloudOrganizations across industries with data infrastructure needs
Search & Comparison IntentEntry-level, learning about Azure data rolesProfessional data management and engineering tasks

The Azure Data Engineer Intern role is an entry-level position focused on learning Azure data tools and gaining practical experience. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining data pipelines and infrastructure. The internship provides foundational knowledge, while the Data Engineer role requires more advanced skills and certifications.

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

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

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

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

Azure Data Engineer Intern jobs near you
Infographic showing various Azure Data Engineer Intern job openings in Linthicum, MD 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, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,194 per year, or $25.1 per hour.

Remote Cloud Data Engineer (Must have experience with Pyspark) with Security Clearance

Advantech GS Enterprises, Inc.

Fort George G Meade, MD • On-site

$127K - $152K/yr

Contractor

Re-posted 12 days ago

Job description

Data Cloud Engineer Location: Fort Meade, MD (remote)
Company: Advantech GS Enterprises Program: DISA NEXUS
Clearance Required: Active Secret Clearance
Employment Type: Full-Time
Bonus: $1,000 Sign-On Bonus Position Overview Advantech GS Enterprises is seeking a highly skilled Data Cloud Engineer to support the DISA NEXUS program at Fort Meade. This role will focus on designing, building, and maintaining scalable cloud-based data solutions supporting enterprise modernization and mission-critical analytics within secure DoD environments. The ideal candidate will have strong experience developing production-grade data pipelines within Azure and/or AWS cloud environments, with expertise in PySpark, Spark SQL, Python, and modern data engineering best practices. This position offers the opportunity to contribute to a long-term federal modernization effort centered around multi-cloud integration, secure data architecture, and advanced analytics capabilities. Key Responsibilities
Design, develop, and maintain scalable cloud-based ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related technologies
Build and optimize large-scale data transformations using PySpark and Spark SQL, applying best practices for partitioning, query optimization, and performance tuning
Develop and support data ingestion frameworks for both structured data (relational tables, CSV files) and unstructured data (JSON, nested structures, REST API integrations)
Implement full and incremental data loading strategies, including change data capture (CDC), late-arriving record handling, and rerunnable pipelines
Design and maintain cloud-based data lakes, warehouses, and analytics-ready datasets supporting enterprise reporting and operational decision-making
Implement data quality and governance controls including schema validation, schema enforcement, schema drift handling, RBAC, lineage, cataloging, and credential management
Monitor and troubleshoot pipelines for latency, failures, logging, alerting, and operational reliability
Support CI/CD pipeline implementation for automated deployments, rollback strategies, and environment promotion processes
Collaborate with cybersecurity and cloud engineering teams to ensure compliance with RMF, STIG, FedRAMP, and DoD security standards
Utilize Oracle databases and cloud-native tools to support data migration, integration, and modernization initiatives
Support Agile development efforts and collaborate with DevOps and software engineering teams across the program lifecycle
Required Qualifications
Active Secret Clearance required
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical field
5+ years of recent experience designing and operating scalable, production-grade data pipelines using Azure Synapse Analytics and/or Databricks
Strong hands-on experience with PySpark and Spark SQL for large-scale transformations and optimization
Advanced proficiency in Python and SQL for data querying, automation, and analysis
Experience ingesting and integrating structured and unstructured datasets from databases, flat files, REST APIs, and external systems
Experience implementing full and incremental load strategies including CDC concepts and rerunnable pipeline architectures
Experience with data quality controls including schema validation, enforcement, and schema drift handling
Experience with pipeline monitoring, logging, alerting, and operational support
Experience implementing CI/CD pipelines and automated deployment processes
Knowledge of data governance and secure access management concepts including RBAC and credential management
Hands-on experience with Azure and/or AWS cloud data services such as Azure Synapse, Azure Data Factory, Databricks, AWS Glue, Redshift, and S3

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