Data Engineer III

Deloitte•Arlington, VA

11d•$124,700 - $207,800•Onsite

About The Position

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. As a Data Engineer III on the AI & Data team, you will be responsible for… Design, develop, integrate, and maintain data pipelines and data integrations across multiple platforms Build and optimize data transformations using Python, Structured Query Language (SQL), PySpark, and Spark SQL to support ingestion, processing, and delivery needs Develop and maintain data models, schema designs, metadata, lineage, and data quality controls across relational and non-relational data stores Troubleshoot pipeline, integration, data, and production issues and support testing, validation, code reviews, and technical documentation Collaborate with client and engineering teams in onsite delivery environments to support data platform operations, query optimization, and continuous improvement

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, Engineering, Information Systems, Data Science, or a technical field
4+ years of experience designing, developing, integrating, or maintaining data pipelines and data integrations using Python and Structured Query Language (SQL)
4+ years of experience using PySpark or Spark SQL in distributed data processing environments
4+ years of experience with data modeling, schema design and evolution, metadata management, data lineage, and data quality controls
Active Secret clearance and ability to work fully onsite in Arlington, Virginia, or Rosslyn, Virginia
Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
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

Experience with War Data Platform (WDP) Databricks
Experience with Maven Smart System (MSS) or Palantir Foundry
Experience with data pipeline orchestration, scheduling, dependency management, and operational support
Experience with data catalogs, governance frameworks, metadata management, lineage tools, and automated data quality monitoring
Experience with observability practices, including centralized logging, pipeline monitoring, alerting, data freshness checks, and service health checks
Experience with cloud, hybrid, or enterprise data platforms supporting military readiness or federal government data environments

Responsibilities

Design, develop, integrate, and maintain data pipelines and data integrations across multiple platforms
Build and optimize data transformations using Python, Structured Query Language (SQL), PySpark, and Spark SQL to support ingestion, processing, and delivery needs
Develop and maintain data models, schema designs, metadata, lineage, and data quality controls across relational and non-relational data stores
Troubleshoot pipeline, integration, data, and production issues and support testing, validation, code reviews, and technical documentation
Collaborate with client and engineering teams in onsite delivery environments to support data platform operations, query optimization, and continuous improvement