Data Provenance Engineer | Lineage, Audits & Privacy

Reinforced Learning; Town of Tonawanda (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Reinforced Learning in New York is seeking a data platform engineer to build provenance, auditability, and privacy controls across submissions, reviews, and transformations. You’ll model and store lineage data, ensuring traceability from origin to delivery and enabling explainable governance.

You’ll collaborate with legal and security, implement PII detection and redaction workflows, and enforce licensing constraints in pipelines.

Qualifications

• Strong data engineering in Python and SQL.
• Data governance, lineage or privacy engineering.
• Precision: you'd rather fail a delivery than ship an untraceable record.
• Comfort working with legal and compliance colleagues.

Responsibilities

• Provenance for every submission, review and transformation, modelled and stored.
• Audit reports customers can verify.
• Detection and redaction of personal or confidential information in submissions.
• Licensing and consent constraints enforced through the pipeline.
• Data governance, in partnership with legal and security.

Skills

Python

SQL

Data governance

Privacy engineering

Job description

Reinforced Learning in New York is seeking a data platform engineer to build provenance, auditability, and privacy controls across submissions, reviews, and transformations. You’ll model and store lineage data, ensuring traceability from origin to delivery and enabling explainable governance.

You’ll collaborate with legal and security, implement PII detection and redaction workflows, and enforce licensing constraints in pipelines.