Sr. / Lead Data Quality Engineer

Job Title: Sr. / Lead Data Quality Engineer
Domain: Data Analytics / Data Science / Data Engineering
Location: USA Seattle, WA / Santa Monica, CA (Onsite)
Experience Required: 10 15 Years
Work Authorization: US Citizen / Green Card Holder Only

Overview:

Tavant is seeking a highly skilled and detail-oriented Sr. / Lead Data Quality Engineer to join our dynamic data team. This role demands an expert in data accuracy, integrity, and reliability, who thrives in a collaborative environment and is passionate about solving complex data issues. The ideal candidate will have deep technical expertise in Data Quality Engineering, strong analytical skills, and a proven track record of working with large-scale data systems.

Key Responsibilities:

• Design and implement robust Data Quality (DQ) checks and validation rules to ensure accuracy and consistency across data pipelines.
• Conduct data profiling to assess source data, uncover anomalies, and identify patterns or trends.
• Monitor Data Quality metrics, track trends, and flag spikes or drops in Key Performance Indicators (KPIs).
• Define and maintain thresholds for detecting and flagging data anomalies and inconsistencies.
• Collaborate with business and technical stakeholders to:
• Understand both explicit and implicit data quality requirements.
• Translate business needs into actionable data quality measures.
• Recommend process improvements to enhance data governance and quality.

Must-Have Skills:

• 10+ years of recent, hands-on experience in:
• Data Quality Engineering
• Data Profiling
• SQL (Strong proficiency for deep data analysis and issue resolution)
• Python (Advanced scripting skills for automation and data manipulation)
• Snowflake (Cloud-based data warehousing)
• Strong problem-solving skills to identify root causes of data issues and implement corrective measures.
• Experience in testing and validating data in large-scale systems.
• Job stability in past roles is essential.
• Candidate must be based in Seattle, WA or Santa Monica, CA.

Preferred / Nice-to-Have Skills:

• Experience with PySpark or Spark for distributed data processing.
• Familiarity with Airflow for data pipeline orchestration.
• Working knowledge of Looker or other Business Intelligence tools.

Candidate Profile:

You are a data enthusiast who:

• Is a natural problem-solver with a keen eye for detail.
• Loves working with data to identify inconsistencies and trends.
• Is highly analytical and tech-savvy, with the coding chops to build scalable DQ solutions.
• Communicates effectively with both technical and business stakeholders.
• Enjoys contributing to high-quality data governance practices and standards.