Job Description
Job Summary
We are seeking a highly skilled Data Governance and Data Quality Engineer to ensure the reliability, integrity, and trustworthiness of enterprise data assets. This role combines traditional data quality and governance practices with modern data observability capabilities, leveraging tools such as Informatica Cloud Data Quality (CDQ) and Monte Carlo.
The ideal candidate will possess a strong foundation in data quality development and governance, along with hands-on experience implementing proactive monitoring, anomaly detection, and pipeline observability across cloud-based data ecosystems. This individual will collaborate closely with data engineering, analytics, and business teams to deliver high-quality, trusted data at scale.
Roles and Responsibilities
Design, develop, and maintain enterprise data quality and governance solutions using Informatica Cloud Data Quality (CDQ), ensuring compliance and data reliability.
Implement data quality rules, processes, and dashboards within the WESCO toolset (e.g., Informatica CDQ: Data Profiling, Mapplets, Rules, Integrations).
Perform data profiling and analysis to identify and assess potential data quality issues.
Develop and execute data quality tests aligned with business requirements to ensure data is fit for purpose.
Provide expertise in data quality best practices to improve overall data quality across multiple data sources.
Define and maintain metadata standards; validate, cleanse, and ensure accuracy of project data.
Develop ETL pipelines and write advanced SQL (e.g., procedures, views, joins, unions, subqueries) to support data extraction and transformation.
Collaborate with stakeholders to understand business requirements and implement data integration and migration solutions.
Define and execute processes to monitor data quality policies and procedures, ensuring data integrity, privacy, and consistent data definitions.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Bachelor’s degree in Information Technology, Business, or a related field required.
5+ years of hands-on experience as a Data Quality Engineer/Developer, including validating data for fitness of purpose.
5+ years of experience assessing data quality, remediating issues, and designing data quality rules based on business requirements.
Proficiency in Informatica Intelligent Cloud Services (IICS), including Cloud Data Integration and Cloud Data Quality.
Experience with data quality policies, standards, and governance frameworks.
Nice to Have Skills & Experience
Experience with Monte Carlo (data observability) is a plus.
Experience working with Databricks is a plus.
Experience with Python scripting and APIs is a plus.
Experience with Power BI is a plus.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.