The Salesforce Einstein Data Engineer works with the Salesforce development team and functional teams to configure Einstein data flows/connections and design, develop, and deploy Einstein dashboards, visualizations, and analytics.
Develop and maintain dashboards in Einstein for all functional teams
Work with business owners and data analysts to develop technical specifications for reporting products
Provide ongoing training for data analysts and staff on development and use of dashboards in Salesforce
Support data collection, analysis and visualization projects as needed, including data modeling, data cleansing, statistics, data mining, predictive analysis, and other data analysis techniques to collect, explore, and extract insights from data sets
Participate in developing a data governance framework to ensure integrity, reliability, and security of data
Research emerging tools and applications that are applicable for the functional needs
Recommend and develop technical, automated solutions for manual processes
Provide recommendations to streamline and improve current business processes
Respond and fulfill data requests as required
Participate in special projects as needed
This position is based in Washington, DC and requires a Public Trust background investigation, or the ability to obtain it.
Requires MS degree in a technical or related field with 8 years of experience
3-5 years of experience in working with Salesforce Einstein development and building AI powered apps
Knowledge in integration apps from Salesforce AppExchange
Demonstrated understanding of Einstein Analytics and managing datasets
Expert knowledge of Salesforce Analytics Query Language (SAQL) and Salesforce Object Query Language (SOQL)
Experience in data ingestion, data modeling, and importing data from different sources
Hands-on experience with developing and deploying reports & dashboards
Hands-on experience in creating and managing data flows
Salesforce Einstein Analytics Certification preferred
Experience in reporting platforms and data visualization tools (e.g. Tableau, Einstein Analytics & etc.)
Experience with databases and writing SQL (Oracle, PostgreSQL)
Thorough understanding of fundamentals of Data Science, AI, Machine Learning and BI
Excellent analytical and writing skills
Strong verbal and written communication skills
Highly motivated and collaborative
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
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.