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Junior Azure Data Factory Developer Jobs in Washington

CTC

Azure Database Engineer- 3637535

Rosslyn, VA · Hybrid

Build and maintain CI/CD pipelines for database deployments using Azure DevOps. * Design and support data integration solutions using Azure Data Factory, Self-Hosted Integration Runtime (SHIR ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake ... Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices. * Experience ...

CGI Inc.

Senior Data Engineer (Secret Cleared)

Arlington, VA · On-site

$121K - $165K/yr

Mentor junior data engineers and promote engineering best practices (coding standards, testing ... Data Pipelines * ETL * Microsoft Azure Data Factory * RESTful (Rest-APIs) What you can expect from ...

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

$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 ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

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Junior Azure Data Factory Developer information

What does a Junior Azure Data Factory Developer do?

A Junior Azure Data Factory Developer assists in designing, developing, and maintaining data integration solutions using Azure Data Factory (ADF). Their primary role is to build and manage data pipelines that extract, transform, and load (ETL) data from various sources into cloud-based data warehouses or storage solutions. They work closely with senior developers and data engineers to automate data workflows, troubleshoot issues, and ensure data is processed efficiently and securely. Additionally, they may write basic code, monitor pipeline performance, and help document processes as part of a larger data team.

What is the difference between Junior Azure Data Factory Developer vs Data Engineer?

AspectJunior Azure Data Factory DeveloperData Engineer
Required CredentialsBasic knowledge of Azure, certifications like Azure Data Engineer Associate helpfulBroader certifications like Azure Data Engineer, AWS, or GCP certifications often preferred
Work EnvironmentFocus on designing and developing data pipelines using Azure Data Factory in cloud environmentsDesigning, building, and maintaining scalable data systems across various platforms and tools
Employer & Industry UsageCommon in companies adopting Azure cloud solutions, especially in data-driven rolesWidespread across industries for managing large-scale data infrastructure

The Junior Azure Data Factory Developer primarily focuses on creating data pipelines within Azure using Data Factory, often as an entry-level role. In contrast, a Data Engineer has a broader scope, working with multiple tools and platforms to build comprehensive data systems. While both roles require knowledge of cloud data solutions, Data Engineers typically possess more advanced certifications and experience, handling complex data architecture tasks across various environments.

What are the key skills and qualifications needed to thrive as a Junior Azure Data Factory Developer, and why are they important?

To thrive as a Junior Azure Data Factory Developer, you need a solid understanding of data integration concepts, ETL processes, and a background in computer science or a related field. Familiarity with Microsoft Azure, especially Azure Data Factory, as well as proficiency in SQL, and knowledge of data storage solutions are typically required, with Azure certifications (like Azure Data Engineer Associate) being advantageous. Strong problem-solving skills, attention to detail, and effective communication help you collaborate within teams and resolve data-related challenges efficiently. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and supporting analytics initiatives in cloud-based environments.

What are some common challenges faced by a Junior Azure Data Factory Developer, and how can they be addressed?

Junior Azure Data Factory Developers often encounter challenges such as troubleshooting complex data pipelines, managing data integration from diverse sources, and optimizing performance for large-scale data processing. To address these, it's important to become familiar with Azure's monitoring and debugging tools, maintain clear documentation, and collaborate closely with data engineers and business analysts. Seeking mentorship from senior developers and participating in regular code reviews can also help accelerate learning and build confidence in managing production workloads.
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Junior Azure Data Factory Developer jobs near you

Senior Engineer/Senior Azure Data Engineer - Azure Synapse, Databricks & Power BI

MDAEdge

Rockville, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
MDAEdge is looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake, Data Factory, Databricks, Synapse Analytics, and Power BI, and will build scalable, secure, and high-performing data platforms that drive analytics and business insights.
Responsibilities:
• Design and develop robust data pipelines using Azure Data Factory and Azure Databricks.
• Work with streaming data processing using Spark clusters in Azure Databricks.
• Manage and utilize Azure Data Lake Gen1/Gen2, Blob containers, and Azure SQL Server for data storage and processing.
• Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics.
• Implement secure data access and management using Azure Key Vault and Azure Active Directory.
• Integrate event-driven architecture using ESB, Event Grid, and Azure Functions.
• Work with Cosmos DB for NoSQL database solutions within cloud-native applications.
• Develop and publish interactive dashboards and analytics reports using Power BI.
• Ensure security, compliance, and performance of data infrastructure.
Qualifications:
Required:
• Strong experience with Azure Data Lake Gen1/Gen2
• Strong experience with Azure Data Factory
• Strong experience with Azure Databricks (including Spark clusters)
• Strong experience with Azure Synapse Analytics
• Strong experience with Azure SQL Server, Cosmos DB, Blob Storage
• Strong experience with Azure Key Vault, Azure Active Directory
• Strong experience with Azure Functions, Event Grid, ESB
• Mandatory experience with Power BI for analytics and dashboard creation
Preferred:
• Experience in building end-to-end data pipelines for big data and analytics
• Knowledge of data governance and data security best practices in Azure
• Familiarity with DevOps for Data Engineering and automation of deployments
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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