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Job Description

Deloitte is hiring a Data Engineer II in Washington, DC to design, build, and deliver secure data solutions for 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
  • Work directly 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 solutions across Microsoft Power Platform, 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 using SQL, Python, and PySpark for data ingestion, transformation, and automation
  • 1+ years monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
  • 1+ years with Power Platform development proficiency across Power Apps, Power Automate, Power BI, and SharePoint
  • Ability to travel 10% on average
  • 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 at any time in the future

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 across engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions

Skills

  • 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, 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 using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling
  • 1+ years with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift
  • 1+ years with version control and continuous integration tools

Technologies

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

Location: Washington, DC (onsite) | Salary: USD 84,400 - 140,600 per year

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