Senior Data Engineer at NVR, Inc in Reston, VA
NVR is seeking an experienced Data Engineer to join our Data & Analytics team. As a Data Engineer you will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. Processing data will include managing, manipulating, storing, and parsing data on premises and in the cloud. What's in it for you:
Be on the ground floor of our migration to the cloud. Share your knowledge; we want to learn from YOU and grow OUR skills as well. Work with a great team of analysts and engineers to provide value to the business Clearly see the impact of your work. You will be held to measurable goals that you help define so you will KNOW how the work you've done has an impact. Have ownership in the projects you work on. You will ultimately be responsible for their success or failure. Don't worry, we will help you to ensure you are successful. What you will do:
Complete development efforts across data pipeline to store, manage, store, and provision to data consumers Write code to ensure the performance and reliability of data extraction and processing Support continuous process automation for data ingest Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing Work with program management and engineers to implement and document complex and evolving requirements Collaborate with others as part of a cross-functional team that includes Data Analysts, Data Scientist and Business Analysts What skills and experiences are required:
5
years of experience in data management (integration, modeling, optimization, and quality). Proficiency developing ETL processes, and performing test and validation steps Proficiency to manipulate data (SQL, SSIS, Azure Data Factory) Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats Strong understanding of cloud technologies (Azure) Strong understanding of the Data Governance Work comfortably in version control systems, such as, Git Repositories What puts you ahead of the pack:
Familiarity with data visualization using Power BI, Excel, and Power Pivot, Tableau Experience with Microsoft Dynamics and Kingswaysoft Task Orchestration and Management Tools (CA Workload Automation, JIRA) Experience integrating systems through API's.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine Learning, Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
Be on the ground floor of our migration to the cloud. Share your knowledge; we want to learn from YOU and grow OUR skills as well. Work with a great team of analysts and engineers to provide value to the business Clearly see the impact of your work. You will be held to measurable goals that you help define so you will KNOW how the work you've done has an impact. Have ownership in the projects you work on. You will ultimately be responsible for their success or failure. Don't worry, we will help you to ensure you are successful. What you will do:
Complete development efforts across data pipeline to store, manage, store, and provision to data consumers Write code to ensure the performance and reliability of data extraction and processing Support continuous process automation for data ingest Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing Work with program management and engineers to implement and document complex and evolving requirements Collaborate with others as part of a cross-functional team that includes Data Analysts, Data Scientist and Business Analysts What skills and experiences are required:
5
years of experience in data management (integration, modeling, optimization, and quality). Proficiency developing ETL processes, and performing test and validation steps Proficiency to manipulate data (SQL, SSIS, Azure Data Factory) Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats Strong understanding of cloud technologies (Azure) Strong understanding of the Data Governance Work comfortably in version control systems, such as, Git Repositories What puts you ahead of the pack:
Familiarity with data visualization using Power BI, Excel, and Power Pivot, Tableau Experience with Microsoft Dynamics and Kingswaysoft Task Orchestration and Management Tools (CA Workload Automation, JIRA) Experience integrating systems through API's.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine Learning, Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
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