Data Engineer

Aristotle • Provo, UT

1d

About The Position

Aristotle’s Integrity division delivers industry-leading identity and age verification solutions to help organizations meet critical regulatory requirements, including AML, KYC, and age verification. Our technology is trusted by major brands across multiple industries to prevent fraud, protect users, and ensure compliance.
As a Data Engineer, you will help scale our identity data platform, including identity linking across datasets and powers fraud and risk signals. You will work across US and international data sources in a modern Azure environment.
Please visit https://integrity.aristotle.com for more information about this division.

Requirements

• Bachelor’s in Computer Science or a related field.
• 3-5+ years as a Data Engineer or similar role
• Strong T-SQL and SQL Server performance tuning experience.
• Experience with SSIS and/or Azure data tooling (ADF, Synapse, Databricks, ADLS, Functions).
• Experience building reporting solutions with Power BI and/or SSRS.
• Comfortable working with large datasets, data quality checks, and production troubleshooting.

Nice To Haves

• Entity resolution, MDM, record linkage, or identity graph experience.
• Building fraud, risk, or compliance signals from identity and behavioral data.
• Familiarity with AI assisted workflows (including Azure OpenAI) and developer productivity tools like GitHub Copilot.
• Exposure to privacy and data governance concepts for international datasets.
• Familiarity with ASP.NET 2.0, C#, and Traditional ASP (Active Server Pages).

Responsibilities

• Build and operate data pipelines for ingesting, normalizing, and delivering identity data (SQL Server, SSIS, and Azure services).
• Lead data engineering for identity linking and unified ID across sources using clear match rules and auditable logic.
• Develop fraud and risk signals from identity data (for example velocity, duplication, inconsistency, and relationship based indicators).
• Build and maintain reporting for operational and business metrics using Power BI and SSRS, including dashboards for volume, match rates, and error trends.
• Support international data processing including multi country identifiers, name formats, and address and phone normalization.
• Document workflows and implement testing to ensure reliability.

Benefits

• competitive compensation
• medical benefits
• paid vacation
• 401k plan
• stock options

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees