Data Platform Engineer
Deloitte, Washington, District of Columbia +4
- Pay
- $84K–$141K / year
- Work type
- Onsite
- Level
- Not stated
- Area
- Infra, platform & SRE, Data engineering
- Posted
- 18 days ago
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About the role
DATA PLATFORM ENGINEER
Data and Analytics | Data Engineering Same job available in 5 locations
Baltimore, Maryland, United States
McLean, Virginia, United States
Richmond, Virginia, United States
Rosslyn, Virginia, United States
Washington, District of Columbia, United States
POSITION SUMMARY
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 sits at the intersection of data engineering, system integration, and platform architecture, enabling seamless, secure, and scalable access to enterprise data and AI capabilities. The ideal candidate brings technical experience in data engineering, strong problem-solving skills, and the ability to work across teams in a dynamic environment. The API Platform Engineer will be responsible for building and scaling the API-first consumption layer of the Data.State platform.
Work you'll do
As a Data Engineer II on the Data Engineering team, you will be responsible for…
* Transform the data lake into a fully integrated, API-driven platform, supporting both traditional application consumption and emerging agent-to-agent (A2A) and model context protocol (MCP)-based interactions * Develop APIs exposing Databricks/ADLS data as services * 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 * Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies * Document technical designs, data lineage, and deployment processes, and support testing, release, and production stabilization activities
A successful candidate would possess these 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 and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others
The team
You will join a team that designs and delivers data engineering solutions that 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. Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.
Qualifications
Required:
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Listed; checked 35 h ago. First seen by us 35 h ago. Being listed doesn't mean the team is actively interviewing.