Data & Integration Engineer Phoenix

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 reportingsupporting 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) Phoenix AZ (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 Hunts 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 Hunts expertise leadership and dedication are unparalleled.

Qualifications :

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 strongly 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. 

Additional Information :

• 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 Phoenix AZ 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 . 

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 youll 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 youve always envisioned. Here youll find a welcoming workplace built on respect collaboration and communitywhere 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. 

Remote Work :

No

Employment Type :

Full-time