Sr Infrastructure Engineer (Privacy Engineering) at Insight Global
Cary, NC
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Jul 23, 2026
Cary, NC
Jul 25, 2026
What this job asks for AI summary
A senior engineering role focused on building data classification infrastructure within a gaming company's DataHub environment. The work centers on designing classification systems, integrating third-party signal providers (such as Wiz and Cyera), developing internal tooling to convert classification signals into actionable metadata, and contributing to LLM/pattern-based classifier rollouts across Databricks and Snowflake. The role requires close collaboration with data governance, legal, and security teams to align classification with regulatory obligations.
Senior level · 5+ years · Remote · Contract
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 110 people nationally plausibly meet what this posting asks for (database architects). range 45–190
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
This is a staffing-firm (Insight Global) posting for a client in the gaming industry; the actual employer appears to be Epic Games based on the reference to 'Epic's data classification taxonomy'. No work location or metro is specified — the role may be remote.
The SOC classification is a close call: the role spans data pipeline/metadata architecture (15-1243) and custom software/classifier development (15-1252). The primary deliverable — designing and building data classification infrastructure and metadata pipelines in DataHub — leans toward data architecture, but the classifier-building and tooling work is squarely software development.
Wiz, Cyera, and BigID are listed together under the requirements section with 'or similar' language, making them interchangeable alternatives for the same gate. Cyera is also called out separately in the narrative as a tool currently under evaluation, so it is also listed individually as preferred for additional context.
MongoDB, DynamoDB, and RDS are listed together as interchangeable examples of operational data stores under the requirements section; they are captured as alternatives on the MongoDB skill and also individually as preferred to reflect the 'or similar' framing.
Snowflake and Databricks appear together as warehouse examples in the requirements section; they are captured both as a paired skill (with Databricks as an alternative to Snowflake) and as a standalone Databricks skill since the narrative specifically calls out Databricks as the primary warehouse target.
No compensation range was provided in the posting.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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