Data Engineer II

Deloitte is seeking a Data Engineer II to design, build, and deliver data 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
• Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls
• Partner with government stakeholders to clarify ambiguous business problems, identify root causes, and translate needs into practical, secure, user-centered solutions
• Design, build, enhance, and maintain Microsoft Power Platform solutions, including Power Apps, Power Automate, Power BI, and SharePoint

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 2+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows
• 2+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation
• 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
• 1+ years of experience with Power Platform development proficiency across Power Apps, Power Automate, Power BI, and SharePoint
• Ability to travel 10%, on average, based on work, clients, and industries/sectors
• Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies

• SQL
• Python
• PySpark
• Power Apps
• Power Automate
• Power BI
• SharePoint

Team

• Join a team that 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
• Collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions

Skills for Success

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Preferred

• Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 1+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling
• 1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift
• 1+ years of experience with version control and continuous integration tools

Location: Washington, DC (onsite)

Compensation: USD 84,400 - 140,600 per yearly