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Venture Global LNG

Develops and operates LNG export facilities

Data Engineer

Data EngineeringUpdated on Nov 12
Full-timeArlington County, Arlington, VA, USA$150k - $155k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or a related field of study.
  • At least 2 years of experience in cloud architecture and data engineering.
  • Extensive experience implementing data storage solutions, managing and developing data processing, and optimizing data solutions in Azure.
  • Expertise integrating, transforming, and consolidating structured and unstructured data for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledge of data processing languages such as SQL, Python, or Spark.
  • Experience building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make independent decisions.
  • Ability to prioritize work, meet deadlines, adapt to changing priorities and business needs, and work effectively in a fast-paced environment.
  • Ability to summarize and prioritize information efficiently.
  • Proficiency with Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Unity Catalog, and Git.
  • Experience with Python and Spark coding, agile development, and sprint planning.
  • Strong technical writing skills.

Responsibilities

  • Build complex data solutions in an Azure Cloud environment.
  • Maintain Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architecture diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries to contextualize data from disparate sources.
  • Enable end-to-end deployment automation using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize data, and transform it into business-facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Use Databricks to transform, curate, and organize data for business intelligence reporting and data analytics.
  • Work with business intelligence developers and business subject-matter experts to translate business requirements into curated datasets 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 with testing, governance, data quality, training, and documentation efforts.
  • Participate in business stakeholder requirements workshops to understand, interpret, and translate requirements into technical solutions.

About the Company

Venture Global LNG

Develops and operates LNG export facilities

Venture Global LNG produces and exports liquefied natural gas (LNG) from North America for global customers. It turns natural gas into a liquid by cooling it, enabling easier storage and transport through large export facilities. The company differentiates itself by operating multiple high-capacity terminals to lower production costs and by signing long-term contracts that provide predictable revenue. Its goal is to deliver low-cost, reliable, and cleaner energy to customers worldwide through efficient, scalable LNG exports.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$2.6B
Headquarters
Arlington County, VA
Founded
2013

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