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AECOM Hunt is growing its Digital Engineering team and is seeking a Data & Integration Engineer to design and build production-grade integrations and automation systems that move data from operational sources into a central, structured repository, and then enable internal applications and AI/LLM-powered workflows that support construction operations and project delivery. 

You will help ensure data is usable beyond reporting—supporting agent-driven retrieval, summarization, and decision support. You will work closely with construction professionals, analysts, and technologists to deliver reliable data systems, plus the tools and APIs that make that data usable by the business. 

This role sits within a construction delivery organization. Success in this role requires comfort working with real-world, project-based operational data that is often messy, fragmented, and shaped by schedules, budgets, contracts, field workflows, and legacy systems. Candidates who have experience with construction, engineering, manufacturing, or other asset- and project-heavy industries will be particularly well-suited for this position. 

This role sits at the intersection of data engineering, systems integration, automation, and business-facing application development, with increasing emphasis on AI-enabled workflows. This is not a dashboard-only or “pipeline babysitting” role. You will be expected to ship end-to-end integrations into production, including authentication, incremental loads, failure handling, monitoring/alerting, and documentation. 

You should be comfortable working across messy source systems, defining data contracts, and delivering production-ready automations. 

(Construction Systems + AI Automation) 
Location: On-site (5 days/week), Chicago, IL (No Remote Option) 

Key Responsibilities 

• Design and maintain production-scale integrations (API, database, file-based, event-driven) that reliably deliver data into a central repository. 
• Build and support a centralized data platform that powers analytics, internal applications, and AI/LLM-enabled workflows. 
• Own integrations end-to-end: source ingestion → normalization → storage → access patterns (BI, APIs, apps, agents). 
• Implement data normalization and metadata standards so datasets can be reliably reused across teams and products. 
• Translate business needs into scalable technical solutions, including automation and AI-assisted workflows where appropriate. 
• Improve reliability through monitoring, alerting, observability, data validation, and failure recovery (retries, idempotency, backfills). 
• Contribute to architecture and engineering standards for integration patterns, data modeling, and AI-ready data access (clean interfaces, traceability, auditability). 
• Build and support internal tools and services (web apps, APIs, utilities) that allow business teams to discover, search, and operationalize data. 
• Enable AI/LLM use cases (semantic search, summarization, classification, structured extraction, agent workflows) by implementing repeatable pipelines, structured outputs, evaluation/QA, and human-in-the-loop controls. 
• Design and maintain data access patterns (views, APIs, query endpoints) that support low-latency application usage and governed analytics. 
• Evaluate and recommend tools/platforms pragmatically; the priority is outcomes and maintainability, not specific products. 
• Debug issues across integrations, data storage, and applications; write clear documentation including data lineage, contracts, and runbooks. 

Platform & Architecture Focus 

• Tool-agnostic environment; we prioritize strong engineering fundamentals over specific vendors. 
• Typical sources include construction and enterprise platforms such as ERP (e.g., CMiC, Textura), project management (e.g., ACC, Procore), document management systems, and scheduling tools (e.g., Primavera P6). Delivery includes BI, internal applications, and agent workflows. 
• Centralized repository approach: data must be modeled, queryable, and reusable for reporting + apps + agents. 
• Repository must support structured tables, document metadata, and (where needed) vector/semantic indexing for retrieval workflows. 
• Integrations must be production-grade: secure auth, incremental loads, observability, and recoverability. 
• Experience with cloud data platforms, orchestration tools, and modern application stacks is valuable, but we care most about shipping reliable systems end-to-end. 

About Construction Management – AECOM Hunt

Founded in 1944 in Indianapolis, Indiana, AECOM Hunt has been building for over 70 years. AECOM Hunt’s storied history has encompassed many notable projects in the automotive industry; iconic sports stadiums; a broad portfolio in transportation; and many repeat clients in the hospitality industry. From iconic stadiums and arenas, next-gen transportation hubs and sustainable healthcare and academic buildings, AECOM Hunt’s expertise, leadership and dedication are unparalleled.

Minimum Requirements: 

• BA/BS Computer Science or relevant technical field and 4 years of experience in data engineering, systems integration, backend engineering, or automation roles with end-to-end ownership of production systems or demonstrated equivalent of education and experience.
• SQL and experience with relational databases; ability to design schemas that support operational usage and analytical access. 
• Python or similar language for APIs, transformation logic, and automation tooling. 

Preferred Qualifications 

• A/E/C experience highly preferred.
• Experience with APIs and ETL/ELT workflows including pagination, rate limits, retries, incremental loads, and secure credential handling. 
• Experience building systems with monitoring/alerting and clear failure recovery paths. 
• Experience integrating LLM/AI into automation workflows, including structured outputs, basic evaluation, and failure handling (hallucinations, low-confidence extraction, retries/fallbacks). 
• Experience with basic software engineering practices: version control, code review, testing, and secure secret management. 
• Ability to operate independently in a dynamic environment. 
• Experience designing data platforms that support multiple consumption modes: reporting, APIs, applications, and AI agents. 
• Familiarity with orchestration/integration frameworks and patterns (scheduling, triggers, queues/events, dependency management). 
• Experience deploying internal services/tools (admin panels, lightweight apps, APIs) used by non-technical teams. 
• Experience operationalizing AI/LLM workflows into repeatable processes (human-in-the-loop, confidence scoring, structured outputs, drift monitoring). 
• Understanding of data modeling, governance concepts, privacy/permissions, and system reliability. 
• Experience working with construction, engineering, manufacturing, or other project-based industries where data is tied to cost, schedule, contracts, and field operations. 
• Comfort working with non-technical stakeholders.

What Success Looks Like 

• Build 3+ production integrations into the central repository. 
• Deliver at least one “data-to-application” outcome (internal tool, API, or agent workflow) adopted by the business. 
• Implement monitoring/alerting + documentation (runbooks, lineage, contracts) so the system is supportable. 
• Establish repeatable patterns for structured extraction + AI automation, including QA/evaluation. 

• This position does not include sponsorship for United States work authorization now or in the future.
• Qualified applicants who are offered a position must pass a pre-employment substance abuse test.
• This position is not hybrid nor remote.
• This position is located in Chicago, IL, relocation is not provided.

About AECOM 

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. 

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. 

What makes AECOM a great place to work 

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. 

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.