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Trainee Azure Data Factory Developer Jobs in Washington, DC

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

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 ...

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage ...

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 ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage ...

Data Engineer

Fairfax, VA · On-site

$130 - $155/hr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage ...

Data Engineer

Washington, DC

$129K - $155K/yr

Any Data Engineer Level 1 and 2 (12 in HQ 1/2 of each level and 20 in Chennai 1/2 of each level ... Azure Data Factory (ADF) * dbt * Databricks . Python These roles are foundational to setting up the ...

New

Data Engineer

Washington, DC

$129K - $155K/yr

Any Data Engineer Level 1 and 2 (12 in HQ 1/2 of each level and 20 in Chennai 1/2 of each level ... Azure Data Factory (ADF) * dbt * Databricks . Python These roles are foundational to setting up the ...

New

Be Seen First

Data Scientist

Rosslyn, VA · On-site

$60/hr

Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake. * Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines ...

Data Solutions Engineer

Washington, DC

$129K - $155K/yr

... Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow • Azure Logic Apps, Azure DevOps, ...

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 ...

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 ...

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 ...

Data Architect

Springfield, VA · On-site

$99K - $225K/yr

Experience with Azure Synapse Analytics, Azure Data Factory, ADLS, LogicApps, and DevOps pipelines supporting CI/CD in cloud data environments * Experience with public cloud environments such as ...

Showing results 21-40

Trainee Azure Data Factory Developer information

See Washington, DC salary details

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$66

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How much do trainee azure data factory developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for trainee azure data factory developer in Washington, DC is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.

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$150K - $155K/yr

Full-time

Posted 27 days ago


Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

We are seeking qualified applicants for the position:

Data Engineer

Located:

Arlington

Summary

The Data Engineer is responsible for developing, designing, and maintaining data platform solutions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.

The position will be located in Arlington, VA.

General Description Duties & Responsibilities

  • 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.

Qualifications

Required experience

  • 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 Experience

  • 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.


Salary Range

$150,000 - $155,000

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.