[Remote] Data Quality Engineer
Note: The job is a remote job and is open to candidates in USA. Alpine Solutions Group is launching a new team focused on supporting the development of a modern data warehouse. The Data Quality Engineer will focus on data quality, validation, controls, governance, and compliance across data initiatives while bridging business and technical teams. The role will automate data validations, analyze data issues, establish testing strategies, and ensure implementations meet quality and regulatory standards.
Responsibilities
- The Data Quality Analyst will use technology to automate data validations, profile datasets, apply business rules, and analyze results
- The role will partner with data stewards and business teams to identify and resolve data quality issues, develop testing strategies, establish controls, and validate data through source-to-target comparisons
- You will investigate data issues by tracing information through source systems, stored procedures, and mapping documentation to determine root causes and recommend improvements to queries, architecture, or data processes
- This person will monitor established controls, support remediation efforts, and help ensure data implementations meet organizational standards, project requirements, and regulatory expectations
Skills
- 3 + years in a data quality engineer role
- Strong building test automation specifically with azure devops
- Strong experience with SQL analysis
- Strong coding with Python
- Coding experience with SQL
- Experience with SAS
- Strong data analysis experience
- MUST come from a regulated industry
- Very strong with documentation
- Great communication and experience bridging communication with data/IT and the business
- Experience gathering requirements from the business
- Ability to work EST hours
- Powerbi exposure
- Banking
- Data Governance Certification (Dataversity, ICCP, CDMP, or others)
Benefits
- Fully remote role
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