Data Quality Engineer

Data Quality Engineer

Location: Remote

Rate: Open, low bid

6- Months Contract

Visa: USC/GC Only

Client is seeking:

A seasoned Data Quality/Data Analytics Engineer Contractor that will perform the following

essential activities, which include, but are not limited to:

• Design and implement data quality rules in Informatica Data Quality (IDQ) to validate file

formats, schema consistency, completeness, and business logic compliance.

• Establish and manage SLA monitoring frameworks to track external file delivery timeliness,

frequency, and compliance with contractual or operational expectations.

• Create and maintain alerting and exception workflows for missing, late, or malformed file

deliveries.

• Profile incoming data stored in Azure Blob Storage and loaded into Snowflake for issues

such as null values, duplicates, schema drift, or logic violations.

• Work with data engineering teams to ensure seamless integration of validation steps into

SWIB's ingestion pipelines.

• Collaborate with business and governance stakeholders to define quality thresholds,

acceptance criteria, and reporting standards.

• Generate documentation, dashboards, and issue logs to track quality metrics and SLA

performance.

• Contribute to root-cause analysis and implement corrective actions to address quality

breaches or SLA violations.

The Contractor requires the following skills, abilities, and background:

• 3+ years of advanced experience with Informatica Data Quality (IDQ), including rule

creation, data profiling, and monitoring.

• Familiarity with financial datasets, including security master and holding datasets,

commonly used in investment operations.

• Execution level familiarity with ETL orchestration, data contracts, or third-party file delivery

standards.

• Proficiency in Snowflake and experience with profiling and managing large datasets.

• 3+ years of experience working with Azure Blob Storage and Snowflake Snowpipe.

• 2+ years of experience working with FactSet.

• 2+ years of experience designing and supporting SLA monitoring and alerting systems

around data intake.

• 3+ years of familiarity with data quality dimensions (e.g., accuracy, completeness, validity,

timeliness).

The Contractor would also benefit from the following skills and background:

• Past Financial or Asset Management Industry experience.

• Strong collaboration, documentation, and communication skills.