Data Engineer II

Deloitte is seeking a Data Engineer II in Washington, DC (onsite) to design and deliver data engineering solutions that support analytics, reporting, and business decision-making.

Responsibilities

• Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data
• Develop and optimize data models, integration patterns, and storage solutions for analytics, reporting, and operational use cases
• Work with cross-functional stakeholders to define data needs, troubleshoot issues, and implement data quality controls
• Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies
• Document technical designs, data lineage, and deployment processes; support testing, release, and production stabilization activities

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows
• 1+ years using Python and SQL to conduct analysis and build ETL pipelines for production
• 1+ years monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
• Ability to travel 10% on average based on work, clients, and industries/sectors served
• Must possess an active U.S. Secret security clearance and be able to maintain it during employment and assignment
• Ability to work on-site in Washington, D.C. at least three days per week
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies

• Python
• SQL
• ETL
• ELT
• Cloud-based and distributed data technologies

Preferred Qualifications

• Master's degree in a related field
• Experience in cloud platform development and analytics (e.g., AWS, Azure, Databricks)
• Experience with Tableau, Power BI, or equivalent dashboarding platforms

Team

• Team designs and delivers data engineering solutions to modernize data platforms and enable analytics, automation, and business insight
• Work spans the data lifecycle: ingestion, transformation, storage, quality, and delivery of data products
• Collaboration includes engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions

What a Successful Candidate Can Do

• Work independently while collaborating as part of a team
• Demonstrate effective written and verbal communication skills
• Show meticulous attention to detail and quality in deliverables
• Build and maintain professional relationships
• Lead projects or workstreams
• Manage and prioritize multiple tasks in a fast-paced environment
• Maintain strong interpersonal skills and a professional demeanor
• Meet deadlines
• Provide clear guidance to others

Compensation and Incentive Program

• Estimated salary range: USD 84,400 - 140,600 per year
• May be eligible to participate in a discretionary annual incentive program, subject to program rules