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Ernst & Young

Global professional services: consulting, assurance, tax

Data Engineer - Government and Infrastructure, AI and Data

Data Engineering +1Confirmed live in the last 24 hours
Full-time$76.2k - $142.6k

About the Job

Requirements

  • A Bachelor's degree is required.
  • An active Top Secret clearance is required.
  • One to three years of related experience with SQL, Power BI, data modeling, data integration and transformation, data visualization, relational databases, and large datasets is required.
  • The candidate must be comfortable working in person in the Washington, DC area.
  • Experience developing dashboards, scorecards, and reports using Power BI is required.
  • Experience conducting ad hoc analyses supporting audits, operational assessments, and leadership inquiries is required.
  • Experience designing and maintaining data extraction, transformation, and loading (ETL/ELT) processes is required.
  • A history of developing and optimizing SQL queries, views, and stored procedures is required.
  • Experience integrating data from multiple enterprise systems and data sources is required.
  • Experience supporting cloud-based data platforms and analytics environments is required.
  • Experience troubleshooting data pipeline, data quality, and reporting issues is required.
  • Experience writing tests and participating in code reviews is required.
  • The candidate must seek information to learn about emerging methodologies and technologies.
  • The candidate must clarify problems by understanding the underlying issue.
  • The candidate must collaborate, influence, and build consensus through constructive relationships and effective listening.
  • The candidate must solve problems by incorporating data into decision-making.

Responsibilities

  • Analyze large datasets to identify trends, anomalies, and actionable insights.
  • Work with stakeholders, analysts, and technical teams to design data solutions, build analytical products, and improve the accessibility, quality, and usability of enterprise data.
  • Perform data analytics and business intelligence activities.
  • Work may be performed at client, EY, and/or contractor sites.
  • Travel 20–30% or more as required by client and project needs.

Desired Qualifications

  • A Bachelor's degree or above in mathematics, information systems, statistics, computer science, or related disciplines is preferred.
  • Experience building ETL/ELT pipelines is preferred.
  • Experience with Azure Data Factory or similar technologies is preferred.
  • Experience using Python for data processing and automation is preferred.
  • Experience optimizing database and reporting performance is preferred.
  • Experience with Microsoft Data Platform, Azure SQL, Azure Data Factory, statistical analysis, and trend analysis is preferred.
  • Experience with data quality management, dashboard development and KPI reporting, and self-service analytics solutions is preferred.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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