Data Trust & Quality Engineer

Surescripts; Northern (KY); Hybrid; USD 90,000 - 118,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Parental leave

Mental health days

Pet insurance

401(k) with company match

Job summary

Surescripts is seeking a Data Governance Engineer to join the Data Trust & Enablement team. You will help define trusted data concepts, automate validation rules, and embed governance into the data platform lifecycle.

You will partner with data engineers, architects, and product teams to scale data quality and certification processes while advancing metadata, catalog, and lineage capabilities.

Qualifications

• Bachelor’s degree in computer science, engineering, business administration, or related field.
• 2+ years of experience in data engineering, data platform development, or a closely related field with a demonstrated focus on data reliability and observability.
• Hands-on experience designing and implementing data validation frameworks, quality rule engines, or observability pipelines, ideally in a cloud-native environment.

Responsibilities

• Architect and build the foundational data trust framework across completeness, accuracy, freshness, consistency, and fitness for purpose.
• Translate abstract data quality concepts into automatable rules for scalable use across the medallion architecture.
• Develop data contracts and tooling to catch violations before downstream impact.
• Integrate governance checks into developer workflows to make quality and compliance default behaviors.

Skills

SQL

BigQuery

Collibra

Great Expectations

Monte Carlo

Data quality

Observability

Cloud-native

Communication

Education

Bachelor's degree

Tools

Collibra

Monte Carlo

Great Expectations

Job description

Surescripts is seeking a Data Governance Engineer to join the Data Trust & Enablement team. You will help define trusted data concepts, automate validation rules, and embed governance into the data platform lifecycle.

You will partner with data engineers, architects, and product teams to scale data quality and certification processes while advancing metadata, catalog, and lineage capabilities.