Data Engineer II
Deloitte•Washington, DC
•$84,400 - $140,600•Onsite
About The Position
Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role will focus on building scalable data pipelines, improving data quality, and supporting modern data platform capabilities across client and business needs. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment.
Requirements
- 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
- 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 the work you do and the clients and industries/sectors you serve.
- 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 the need for employer sponsorship, now or at any time in the future.
Nice To Haves
- 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
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 to support 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
Benefits
- Discretionary annual incentive program
- Reasonable accommodations for people with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
