ZipRecruiter

Log In

2

Full Time Azure Data Factory Jobs in Virginia (NOW HIRING)

DPR Construction

PCA Data Engineer

Richmond, VA

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Reston, VA

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

CGI Inc.

Senior Data Engineer (Secret Cleared)

Arlington, VA · On-site

$121K - $165K/yr

J0726-1203 Employment Type: Full Time Position Description: CGI Federal is seeking a Senior Data ... Data Pipelines * ETL * Microsoft Azure Data Factory * RESTful (Rest-APIs) What you can expect from ...

MARKETview Education Partners

Jr Data Engineer

Richmond, VA · On-site

$112K - $134K/yr

... including Azure Data Factory (ADF), Databricks, Function Apps, and SQL • Exposure to programmatic languages for data manipulation such as python • Understanding of both structured and ...

Stanley Martin Homes

Data Engineering Manager

Reston, VA · On-site

$134K - $149K/yr

Architecting, and scripting large-scale data pipelines, and leveraging tools like Snowflake, Databricks, Azure Cloud (Azure Data Factory, Functions etc.), and ADLS to support business applications in ...

ICF

Data Engineer

Reston, VA · Hybrid

$119K - $143K/yr

... or Azure Data Factory Preferred Qualifications: * Familiarity with streaming/real-time data ... The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Virginia ...

CGI Inc.

Data Modeler (Secret Cleared)

Arlington, VA · On-site

$63 - $81.75/hr

J0726-0962 Employment Type: Full Time Position Description: CGI Federal is seeking a Data Modeler ... Azure Data Factory, Azure Synapse). Familiarity with medallion/lakehouse concepts (Bronze/Silver ...

Core Interface

ETL Developer

Chantilly, VA · On-site

$52.25 - $68.25/hr

Design, develop, and optimize ETL pipelines using tools such as Informatica, Talend, AWS Glue, Azure Data Factory, or Apache NiFi . * Implement data extraction, transformation, and loading processes ...

Schnabel

Data Engineer

Sterling, VA

Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines) * Support the creation of a centralized enterprise data warehouse / Lakehouse

Schnabel

Data Engineer

Sterling, VA

$105K - $135K/yr

Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines) * Support the creation of a centralized enterprise data warehouse / Lakehouse

Schnabel

Data Engineer

Sterling, VA · On-site

$105K - $135K/yr

Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines) * Support the creation of a centralized enterprise data warehouse / Lakehouse

next page

Showing results 1-20

All JobsAzure Data Factory JobsFull Time Azure Data Factory JobsFull Time Azure Data Factory Jobs in Virginia

Full Time Azure Data Factory information

What is the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

What are Full Time Azure Data Factory jobs?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

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

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full-time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.
What are the most commonly searched types of Azure Data Factory jobs in Virginia? The most popular types of Azure Data Factory jobs in Virginia are:
What are popular job titles related to Full Time Azure Data Factory jobs in Virginia? For Full Time Azure Data Factory jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory jobs in Virginia look for? The top searched job categories for Full Time Azure Data Factory jobs in Virginia are:
What cities in Virginia are hiring for Full Time Azure Data Factory jobs? Cities in Virginia with the most Full Time Azure Data Factory job openings:
Full Time Azure Data Factory jobs near you

Data Engineer - Fulltime - Arlington, VA - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Posted 16 days ago

Job description

Position: Data Engineer with Azure and Data Bricks
Location: Arlington, VA (5 days on site)
Job Type: Full-Time
Need Locals
Top 3 Skills:
  • 8+ years of data engineering experience using Azure and Data Bricks
  • Experience building infrastructure and CI/CD pipelines
  • Experience working directly with the business to gather requirements

Job Description:
Position Responsibilities:
Key Responsibilities and Essential Duties:
  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
  • Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark.
  • Experience in agile development and sprint planning.
  • Strong technical writing skills.

Apply