Data Quality Analyst

Job Title: Senior SQL & Data Quality Engineer
Location: Remote – Latin America (Colombia Preferred)
Type of Contract: Full-Time | Contractor
Salary Range: Market Rates
Language Requirements: English – Professional Fluency

We are seeking a skilled Senior SQL & Data Quality Engineer with deep expertise in advanced SQL development and data validation frameworks to join our growing team. You will play a key role in driving technical investigation, optimizing data pipelines, and ensuring enterprise data integrity. Your work will directly impact data accuracy, system performance, and business decision-making across critical platforms.

Key Responsibilities

• Write and optimize complex SQL queries (CTEs, window functions, UDFs) for deep data analysis and anomaly detection
• Design and maintain automated SQL-based data validation frameworks and testing suites
• Partner with Data Engineers to implement “Quality by Design” across ETL/ELT pipelines
• Lead root cause analysis (RCA) efforts to identify systemic data issues and drive long-term fixes
• Improve query performance within Snowflake, reducing compute costs and increasing efficiency
• Analyze and validate data across enterprise systems, including Salesforce and Workday
• Act as a technical liaison, translating data discrepancies into actionable insights for stakeholders

Must-Have Qualifications

• 5+ years of advanced SQL experience, including query optimization and large-scale data auditing
• Strong background in data quality principles (accuracy, completeness, consistency, lineage)
• Hands-on experience with Snowflake, including performance tuning and warehouse optimization
• Experience working with enterprise data systems such as Salesforce (SFDC) and Workday
• Proven ability to conduct deep data investigations and identify root causes of data issues
• Strong analytical mindset with attention to detail in complex datasets
• Bachelor’s degree in Computer Science, Information Systems, or a quantitative field

Preferred Qualifications

• Proficiency in Python (Pandas, Great Expectations) for advanced data validation
• Experience with data observability tools such as Monte Carlo, Soda, or dbt tests
• Familiarity with dbt for data transformation and documentation
• Understanding of Quote-to-Cash (Q2C) processes and data flows
• Relevant certifications (e.g., Snowflake, CDMP, or advanced SQL certifications)