Highwire is the Contractor Success platform for owners, general contractors, and facilities managers. The world’s most admired organizations — including Skanska, Merck, and Bond Brothers — use Highwire to ensure their contractors deliver great work, on time and on budget, by collaborating with them to dynamically mitigate safety, financial, quality, and sustainability risks throughout every project lifecycle. Originally started as an internal risk assessment system at Harvard University, Highwire is now an independent company championing the Contractor Success movement. Highwire is backed by global growth equity investor Summit Partners. The company is headquartered in Burlington, Massachusetts, with employees across the United States.

Your mission:
Your mission is to ensure the data that powers Highwire — from customer renewal rates and campaign performance to financial reporting — is accurate, complete, and decision-ready. You’ll take ownership of the end-to-end accuracy of key datasets, using SQL to investigate anomalies, validate transformations, and deliver reliable data to teams across Product, Engineering, Finance, and other business functions. Your work will enable the entire company to move quickly and make informed decisions based on trustworthy data.

What you'll do:
Write and improve SQL queries that power reporting and analysis. You’ll support business teams by extracting and transforming data, building reusable queries, and collaborating with engineering to enhance data models and pipelines.
Deliver clean, trusted data. You’ll ensure that the data used across Finance, Product, Sales, and Engineering is accurate and reliable, enabling fast and confident decision-making and reducing rework and second-guessing.
Identify and fix root-cause issues. You’ll proactively identify bugs, inconsistencies, or oddities in the data that powers our reports, and collaborate with Engineering and Product to determine the root cause of the issue.
Enable real-time reporting. Department heads will rely on you for recurring and ad-hoc reports that are both timely and accurate. You’ll build reports that scale as our teams grow.
Continuously improve data quality. You won’t wait for others to flag data issues. Instead, you’ll take initiative to audit, investigate, and improve datasets before problems reach stakeholders.

Who you are:

Confident with SQL and eager to grow. You’re comfortable querying relational databases, navigating schemas, writing joins, and thinking in data logic.

Owner’s mindset. You feel a strong sense of responsibility for the quality of your work and the integrity of the data others rely on. If it’s broken, you’ll fix it.

Adaptable. You’re comfortable working with imperfect or incomplete data, and you adjust quickly to changing product requirements or business needs.

Analytical. You excel at analyzing large datasets, identifying patterns and anomalies, and transforming complex or ambiguous information into actionable insights.

Proactive collaborator. You don’t wait for someone else to raise a flag; you pull in the right people to get the right answer, fast.
Detail-oriented. You notice inconsistencies that others miss and take pride in spotting the one broken row in a dataset of thousands.