AI and Data Engineer

Mitchell Martin Inc.; Washington (District of Columbia); On-site; USD 150,000 - 160,000; Full time

Job summary

Mitchell Martin Inc. in Washington, DC is seeking a Full-Time AI and Data Engineer to transform data architecture into robust production systems. The role focuses on building AI-ready data pipelines, retrieval systems, and reusable engineering patterns to enable AI applications across the enterprise.

You will collaborate with cross-functional teams, leverage AI platforms, and ensure data quality and observability while delivering scalable data products and analytics capabilities.

Qualifications

• Bachelor's degree in computer science, data engineering, or related field.
• 6 years of relevant technical experience, incl. AI/ML exposure.
• Proficiency in Python and SQL; experience with distributed processing.
• Experience with modern data stacks in cloud environments.

Responsibilities

• Build and operate AI-ready data pipelines for data retrieval by AI applications.
• Implement retrieval-augmented generation components and vector store integrations.
• Develop interfaces for agents and copilots to safely query enterprise data.
• Design and maintain production-grade data pipelines using modern tools.
• Contribute to semantic models and data product development for analytics.

Skills

Python

SQL

AI/ML concepts

Data engineering

Education

Bachelor's degree in computer science, data engineering, information systems, or related field

Tools

ELT Tools

Distributed processing frameworks

Cloud platforms

Job description

Title

AI and Data Engineer

Location

Washington, DC

Employment Type

Full Time

Compensation

Pay Range: $150,000-$160,000 Per Year

Description

Join a dynamic team in the Washington, DC area as a Full-Time AI and Data Engineer. This role involves transforming data architecture into production systems, focusing on data pipelines, retrieval systems, and AI-ready data products. The position requires hands-on expertise in data engineering and AI technologies, contributing to foundational data pipelines and establishing reusable engineering patterns. Successful candidates will leverage AI platforms, ensuring data quality and observability while collaborating with cross-functional teams.

Key Responsibilities

• Build and operate AI-ready data pipelines for data retrieval by AI applications.
• Implement retrieval-augmented generation components and vector store integrations.
• Develop interfaces for agents and copilots to safely query enterprise data.
• Design and maintain production-grade data pipelines using modern tools.
• Contribute to semantic models and data product development for analytics.

Qualifications

• Bachelor's degree in computer science, data engineering, information systems, or related field.
• 6 years of relevant technical experience, including 1-2 years in AI/ML systems.
• Hands-on experience with AI platforms and tools for data engineering.
• Proficiency in Python and SQL with knowledge of distributed processing frameworks.
• Experience with modern data stacks in cloud-based environments.

Core Technologies

Python | SQL | ELT Tools | AI Platforms | Data Pipelines | Semantic Models