Government and Infrastructure - AI and Data - Data Engineer - Top Secret Clearance

EY•McLean, VA

2d•$76,200 - $142,600•Hybrid

About The Position

The Government and Infrastructure practice of Ernst & Young provides a full range of consulting and audit services to help Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world. EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals. You will help our clients navigate the complex world of modern AI, data and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Requirements

Must have a Bachelor's degree
Must have an active Top Secret clearance
1-3 years of related experience with SQL
Power BI
Data modeling
Data integration and transformation
Data visualization
Experience working with relational databases and large datasets
Must be comfortable working in-person in the Washington, DC area

Nice To Haves

Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
Data Engineering Experience building ETL/ELT pipelines.
Experience with Azure Data Factory, or similar technologies.
Experience with Python for data processing and automation.
Experience optimizing database and reporting performance.
Microsoft Data Platform
Azure SQL
Azure Data Factory
Statistical analysis and trend analysis.
Data quality management.
Dashboard development and KPI reporting.
Self-service analytics solutions

Responsibilities

Design data solutions, build analytical products, and improve the accessibility, quality, and usability of enterprise data.
Analyze large datasets to identify trends, anomalies, and actionable insights.
Design and maintain data extraction, transformation, and loading (ETL/ELT) processes.
Integrate data from multiple enterprise systems and data sources.
Support of cloud-based data platforms and analytics environments.
Troubleshoot data pipeline, data quality, and reporting issues.
Write tests, participate in code reviews.
Seek out information to learn about emerging methodologies and technologies.
Clarify problems by driving to understand the true issue.
Collaborate, influence, and build consensus through constructive relationships and effective listening.
Solve problems by incorporating data into decision making.