Data Engineer

Description

The company's AI and Data team sits inside the Global CIO organization and is growing fast. The team designs and delivers enterprise-grade solutions that combine AI, data, and human-AI collaboration workflows across business functions such as Growth, Finance, HR, Legal, and Supply Chain.

This is a Data Engineer (Agentic AI) role. You will build data engineering for agentic AI applications and help create an AI-first data ecosystem that supports the company's enterprise AI work.

Responsibilities

• Design, build, and run scalable end-to-end data pipelines and curated data products for enterprise analytics and agentic AI use cases.
• Bring together data from internal enterprise systems and external sources, covering structured, semi-structured, and unstructured data.
• Provide reliable data services for agentic AI workflows, such as APIs, retrieval and indexing, and governed context delivery for AI agents.
• Build data quality, observability, and governance practices into pipelines and products.
• Improve performance and cost across storage, compute, orchestration, and serving layers.
• Work with business stakeholders, AI engineers, and software developers to turn requirements into production solutions.

Requirements

• Bachelor's degree in Computer Science or Engineering, Data Science, or a related field.
• At least 2 years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance.
• Skill in Python Software Development, SQL Query Development, Data Governance, and Unstructured Data.
• Proficiency in Python or Java, and in SQL and NoSQL databases.
• Experience with enterprise-scale data architectures and cloud data platforms such as Azure, OCI, or AWS.
• Strong collaboration and communication skills for cross-functional enterprise work.
• Preferred: experience delivering data engineering for agentic AI applications.
• Preferred: experience with retrieval-based AI data foundations, including document processing, metadata, embeddings, and vector or hybrid search.
• Preferred: familiarity with agent workflows and how agents use data services and tools in production.
• Preferred: experience with lakehouse architectures on Azure (preferred), OCI (preferred), or AWS.
• Preferred: experience with real-time streaming or other high-velocity solutions.
• Preferred: experience using AI tools to improve data engineering productivity and quality in coding, testing, and documentation.

Conditions

Hybrid role based in Falls Church, VA, with three days per week in the office.

Full-time, 40 scheduled hours per week.

Travel of 10-25%.

US person status is required. US citizenship is not required.

Applicants must complete an identity verification process that uses biometrics and AI, and must be on camera during virtual interviews.

Equal opportunity employer, including individuals with disabilities and protected veterans.

Benefits

• Medical plans, some with Health Savings Accounts, plus dental and vision plans.
• 401(k) with pre- and post-tax contributions up to IRS limits and a company match.
• Full-flex work weeks where possible, and paid vacation, sick and personal time, holidays, parental, military, bereavement, and jury duty leave.
• Short and long-term disability, life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance, provided or available.
• Competitive pay and paid time off.
• An AI-powered career tool that suggests career steps and learning, and an internal mobility team to help you reach your goals.
• Likely salary range of $91,800 to $124,200, set by experience, location, and possibly contract terms; pay may fall outside this range.