Overview
Full Time
Skills
Business Rules
Regulatory Compliance
Workflow
Data Engineering
Reporting
Dashboard
Root Cause Analysis
Informatica Data Quality
IDQ
Extract
Transform
Load
Orchestration
Snow Flake Schema
Microsoft Azure
Storage
FactSet
Management
SLA
Data Quality
Dimensional Modeling
Financial Services
Asset Management
Communication
Collaboration
Documentation
Job Details
Job Title: Data Quality Engineer (Contract) - Remote
Location: Remote (U.S. based)
Contract Duration: 6 months, with possibility of extension
About the Opportunity:
We are seeking a highly skilled Data Quality Engineer Contractor to join a dynamic Data Delivery & Operations Division that supports critical investment and operations teams. This group is focused on delivering high-quality data solutions and enabling robust reporting capabilities across the enterprise.
This position is ideal for a seasoned professional with a strong background in data quality frameworks, Informatica Data Quality (IDQ), Snowflake, Azure, and SLA-based monitoring within complex data environments. The role is fully remote and offers the opportunity to work on high-impact data initiatives in a fast-paced, collaborative environment.
Key Responsibilities:
This is a fully remote contract role with potential for renewal.
If you're passionate about delivering high-quality data solutions and thrive in a collaborative, fast-paced environment, we encourage you to apply.
Location: Remote (U.S. based)
Contract Duration: 6 months, with possibility of extension
About the Opportunity:
We are seeking a highly skilled Data Quality Engineer Contractor to join a dynamic Data Delivery & Operations Division that supports critical investment and operations teams. This group is focused on delivering high-quality data solutions and enabling robust reporting capabilities across the enterprise.
This position is ideal for a seasoned professional with a strong background in data quality frameworks, Informatica Data Quality (IDQ), Snowflake, Azure, and SLA-based monitoring within complex data environments. The role is fully remote and offers the opportunity to work on high-impact data initiatives in a fast-paced, collaborative environment.
Key Responsibilities:
- Design and implement data quality rules using Informatica Data Quality (IDQ) for validating schema, format, completeness, and business rule compliance.
- Develop and manage SLA monitoring frameworks to track external file delivery performance and compliance.
- Build alerting and exception handling workflows for late, missing, or malformed data files.
- Profile data in Azure Blob Storage and Snowflake to identify and mitigate quality issues (e.g., nulls, duplicates, schema drift).
- Collaborate with data engineering teams to embed validation in ingestion pipelines.
- Partner with business and governance teams to define data quality standards and reporting practices.
- Create dashboards, documentation, and issue logs to support ongoing quality measurement.
- Conduct root-cause analysis for quality breaches and drive corrective actions.
- 3+ years of hands-on experience with Informatica Data Quality (IDQ).
- Experience working with investment-related datasets, including security master and holdings.
- Familiarity with ETL orchestration, file delivery protocols, and data contracts.
- Advanced proficiency in Snowflake and Azure Blob Storage.
- Experience using Snowpipe for data ingestion.
- 2+ years working with FactSet.
- Demonstrated ability to design and manage SLA-based monitoring systems.
- In-depth understanding of data quality dimensions (accuracy, completeness, validity, timeliness).
- Prior experience in the Financial Services or Asset Management industry.
- Strong communication, collaboration, and documentation skills.
This is a fully remote contract role with potential for renewal.
If you're passionate about delivering high-quality data solutions and thrive in a collaborative, fast-paced environment, we encourage you to apply.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.