Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below Work you'll do/Responsibilities This Data Engineer will:
Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks based on mission needs and objectives.
Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures is preferred.
Optimize data pipelines ensuring scalability, reliability, and high-performance processing as well as providing innovative solutions to troubleshoot complex data-related problems with large datasets.
The Team
Artificial Intelligence & Data Engineering:In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.Artificial Intelligence & Data Engineering will work with our clients to:Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.Qualifications Required
Active Secret Clearance required
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
2+ years of data engineering experience
2+ years of experience with ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
2+ years of experience in government consulting
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations
Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel
Preferred
AWS, Azure and/or Google Cloud Platform Certification.
Experience working with agile development methodologies such as Sprint and Scrum.
Experience government consulting/clients
Strong problem-solving skills and ability to solve complex data-related issues
Data governance experience
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.