Req ID: RQ176181Type of Requisition: RegularClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required: NoneJob Family: Data ScienceSkills:Azure Data Factory,Data Analytics,Data Architecture,Data Integration,Microsoft Power BIExperience:5 + years of related experienceJob Description:General Dynamics Information Technology – Federal Health Strategy & Analytics practice is currently looking for an experienced Azure Data Engineer to join our team in support various clients under the Department of Health and Human Services including Centers for Disease Control and Prevention (CDC). This is a technical role, focused on defining and implementing solutions using Azure Cloud Architecture. The Azure Data Engineer is responsible for building, implementing, and supporting Microsoft BI solutions to meet project business requirements.Responsibilities:
Designing & building data architectures including the design & set-up of scalable Modern Data Platforms incl. infrastructure-as-code, proper CICD, solid DevOps and the best-fit technologies for the use case.
Working together with the BI developers deploying data pipelines & data transformations which turn the raw data into relevant datasets and insights (using Databricks, Azure Data Factory)
Working with Data Scientist deploying machine learning into scalable services in a perfect fit with the data architecture (MLFlow)
Assisting the project team in deploying data applications including, if needed, close-to real-time architectures such as streaming pipelines (Spark Structured Streaming or Azure Functions)
You will work (standalone or in team) with clients and have a responsibility on managing project timeline, status meetings and coaching & training of colleagues and customers.
Architect, develop and deploy (both hybrid cloud & full cloud) data architectures in Microsoft AzureAct as a Data Engineer Expert on the latest trends in the data analytics landscape and share best practices with the internal team.
Leverage Open-Source technology in building scalable and best-practice set-ups (incl. Spark & Python)
Inspire customers with insights & opportunities on new data-driven use cases.
Work with external vendors and partner technologies including (but not limited to) Azure.
Embrace project management aimed towards getting the job done. This will include working with client data engineers and data scientists but also business stakeholders.
Development of reports and database procedures to help resolve data quality issues.
Effectively communicate SQL Server SSIS architecture and approaches.
Exhibit competency in problem solving, data analysis, business rule validation, data integration, data quality, dependency analysis and estimation and delivery of complex Azure data solutions.
Working closely with client stakeholders, architects, analysts, and SMEs to validate and/or elicit information requirements for database design and architecture.
Analysis of source data to assist in preparing iterative design changes, database refactoring, and creating or modifying reference data.
Experienced in database design with the ability to progress from concept to implementation, creating and maintain entity relationship diagrams, data dictionaries, and ability to create implementation scripts.
Evaluating of existing databases for performance bottlenecks to recommend solutions for improvement.
Required Skills:
Bachelor’s degree plus 5 years’ experience or master’s degree plus 3 years’ experience; preferred degree in Computer Science or related area.
Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
Expertise in Azure cloud services, and DevOps/CI/CD frameworks.
3+ years of Azure Databricks and Azure Data-factory.
3+ years of current experience with development and implementation of Microsoft SQL Server Integration Services (SSIS)
Experience in the development of modular SSIS solutions which include the implementation of robust error handling, logging, archival, and other foundational capabilities.
Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services
Experience in designing and hands-on development in cloud-based analytics solutions.
Desired Skills:
Experience with Azure Data Lake is preferred.
Experience in the public health domain and HL7 is a plus.
Knowledge and understanding of implementing Webservices a plus.
Experience working in an Agile development team.
Must be able to work as part of a team, as well as independently.
Must grasp new concepts easily and be willing to continually learn.
Must be flexible and willing to help other team members in support of project goals.
The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.