As a Data Engineer II at Deloitte in Washington, DC, you will design, develop, and deliver data solutions that support analytics, reporting, and business decision-making. The role emphasizes scalable data pipelines, data quality improvements, and enabling modern data platform capabilities.
Key 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
- Configure and maintain the AIE Accessions Ontology
- Build and manage data pipelines from AIE Salesforce and MuleSoft into the Vantage Foundry platform
- Develop AI-integrated applications and workflows using AIP and Workshop
- Enable self-service analytics and dashboard capabilities for USAREC command and staff
Required Qualifications
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and commitment to 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
- 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
- 3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation
- 1+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling
- 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
- Ability to travel 10% on average, based on work, clients, and assigned industries or sectors
- Active U.S. Secret security clearance and ability to maintain it during employment and assignment
- Legal authorization to work in the United States without employer sponsorship, now or in the future
Technologies
- SQL
- Python
- PySpark
- Palantir Foundry
- Pipeline Builder
- Ontology-based data modeling
- AIE Salesforce
- MuleSoft
- Vantage Foundry platform
- AIP
- Workshop
Preferred Qualifications
- Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
- 1+ years of experience with workflow orchestration tools such as Apache Airflow
- 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
- 1+ years of experience supporting data quality, metadata, and data lineage processes
- 1+ years of experience working in Agile delivery environments
Team Overview
You will join a team that designs and delivers data engineering solutions to help organizations modernize data platforms and enable analytics, automation, and business insight. The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products. Collaboration with engineers, analysts, and business stakeholders supports the delivery of scalable, reliable, and secure solutions.
Location and Compensation
- Location: Washington, DC (onsite)
- Salary Range: USD 84,400 to 140,600 per year
