Deloitte is seeking a Data Engineer II to design, develop, and deliver data solutions that support analytics, reporting, and business decision-making. This onsite role centers on scalable data pipelines, strong data quality practices, and capabilities aligned to modern data platforms.
Role Responsibilities
- Design, build, test, and maintain scalable data pipelines and workflows to ingest, transform, and deliver 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 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.
- 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.
- Active U.S. Secret security clearance, and ability to maintain it during employment and assignment.
- Legally authorized to work in the United States without employer sponsorship, now or in the future.
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.
Technologies
- SQL
- Python
- PySpark
- Palantir Foundry
- Pipeline Builder
- Ontology-based data modeling
- AIE Salesforce
- MuleSoft
- Vantage Foundry platform
- AIP
- Workshop
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 supports the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products, working alongside engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.
Compensation and Location
Location: Washington, DC (onsite)
Salary: USD 84,400 - 140,600 per year
