Data Platform Engineer
About The Position
Deloitte is seeking a Data Engineer II to design, develop, and deliver data solutions that enable analytics, reporting, and business decision-making. The role combines data engineering, system integration, and platform architecture to provide seamless, secure, and scalable access to enterprise data and AI capabilities. The engineer will build and scale the API-first consumption layer of the Data.State platform, transforming the data lake into an integrated, API-driven platform that supports traditional applications as well as agent-to-agent and model context protocol interactions. The role is part of a data engineering team that works across ingestion, transformation, storage, data quality, and delivery of data products. Team members collaborate with engineers, analysts, and business stakeholders to modernize data platforms and enable analytics, automation, and business insight. The position is available in Baltimore, Maryland; McLean, Virginia; Richmond, Virginia; Rosslyn, Virginia; and Washington, District of Columbia. Average travel is 10%.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
- At least 3 years of experience designing API development activities across design, implementation, testing, and maintenance.
- At least 1 year of experience using Python and SQL to conduct analysis and build production ETL pipelines.
- At least 1 year of experience developing and deploying solutions on the Databricks platform.
- Ability to travel 10%, on average, based on work and clients served.
- Active U.S. Secret security clearance and ability to maintain it throughout employment and assignment.
- Legal authorization to work in the United States without employer sponsorship, now or in the future.
- Ability to work independently and collaboratively.
- Effective written and verbal communication skills.
- Meticulous attention to detail and quality of work.
- 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 and provide clear guidance to others.
Nice To Haves
- Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field.
- Experience in cloud platform development and analytics, such as AWS, Azure, or Databricks.
Responsibilities
- Transform the data lake into a fully integrated, API-driven platform that supports traditional application consumption and agent-to-agent and model context protocol-based interactions.
- Develop APIs that expose Databricks and ADLS data as services.
- 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.
- 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.
- Support testing, release, and production stabilization activities.
Benefits
- Broad range of employee benefits.
- May be eligible to participate in a discretionary annual incentive program.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
