Business Intelligence Developer

About the Role

The Business Intelligence Developer will be a key contributor to ACPWB's Technology & Engineering practice, working on data infrastructure reliability and scalability that directly supports our compensation advisory work. In this role you will work with React and TypeScript, partnering with data engineers, analysts, and business stakeholders to build solutions that have measurable impact on firm performance. The team deploys frequently, reviews code carefully, and invests in the quality of its technical foundation.

Key Responsibilities

• Ensure reliability, performance, and security of data infrastructure on Azure and on‑premise hybrid environments.
• Contribute to code reviews, technical documentation, and engineering standards for the Technology & Engineering team.
• Design, build, and maintain components of the employee data warehouse using React and TypeScript.
• Manage vendor relationships for technical services and software subscriptions relevant to data infrastructure reliability and scalability.
• Collaborate with Information Security on vulnerability assessments, patching, and compliance audits.
• Conduct performance analysis and capacity planning for the employee data warehouse to support firm growth.
• Contribute to ACPWB's technical roadmap by identifying investment opportunities in data infrastructure reliability and scalability.

Qualifications

Required

• Strong proficiency in React and TypeScript (or an equivalent technical stack) with demonstrated production experience.
• Familiarity with information security fundamentals including authentication, encryption, and access control.
• Experience with cloud infrastructure management—including compute, storage, and networking—on Azure and on‑premise hybrid environments.
• Solid understanding of relational database design, SQL, and data modeling principles.

Preferred

• Experience with containerization and orchestration (Docker, Kubernetes).
• Relevant cloud certification (AWS Solutions Architect, Azure Administrator, Google Professional Data Engineer, or equivalent).
• Experience with compensation analytics, HR technology, or financial services data platforms.
• Experience with data orchestration tools such as Apache Airflow, Prefect, or equivalent.

Why ACPWB

ACPWB occupies a distinctive position: large enough to be credible, small enough to be agile, old enough to have a track record, young enough to still be building it. The people who thrive here find that combination energizing rather than disorienting. Founded in Milwaukee in 2006, ACPWB helps working Americans understand and advocate for the compensation they deserve. Eighteen years later, the mandate has grown into a full‑service research and advisory practice serving clients from early‑stage employers to Fortune 50 enterprises, and the company remains based in Milwaukee.

Interview Process

• 30‑minute talent screen.
• 60‑minute hiring manager interview.
• 90‑minute cross‑functional panel.
• Final conversation with a senior leader.

The process typically completes in two to three weeks, with outcomes communicated at each stage.

What Success Looks Like

• Ship at least two meaningful features or improvements to the employee data warehouse with full documentation.
• Reduce at least one identified pain point for the analytical team through tooling or infrastructure improvement.
• Receive positive feedback from a non‑technical stakeholder on the reliability or usability of a system you own.
• Support at least one cross‑functional project where your technical work enables an advisory deliverable.
• Document the components of the employee data warehouse you own at a level sufficient for another engineer to maintain them.