Senior Data Quality Engineer: Mastering Data Integrity

Pipe Recruit; Santa Monica, Seattle (CA, WA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading data solutions firm is seeking a highly skilled Sr. / Lead Data Quality Engineer to ensure data accuracy and integrity. The ideal candidate will have over 10 years of extensive experience in Data Quality Engineering, proficient in SQL and Python, and be adept at conducting data profiling. Responsibilities include designing Data Quality checks, monitoring metrics, and collaborating with stakeholders to enhance data governance. This position is available for candidates located in Seattle, WA or Santa Monica, CA, and offers an on-site work environment.

Qualifications

• 10+ years of experience in Data Quality Engineering.
• Strong proficiency in SQL for data analysis.
• Advanced Python skills for automation and data manipulation.

Responsibilities

• Design and implement Data Quality checks for data pipelines.
• Conduct data profiling to uncover anomalies and trends.
• Monitor Data Quality metrics and flag anomalies.

Skills

Data Quality Engineering

Data Profiling

SQL

Python

Tools

Snowflake

PySpark

Airflow

Looker

Job description

A leading data solutions firm is seeking a highly skilled Sr. / Lead Data Quality Engineer to ensure data accuracy and integrity. The ideal candidate will have over 10 years of extensive experience in Data Quality Engineering, proficient in SQL and Python, and be adept at conducting data profiling. Responsibilities include designing Data Quality checks, monitoring metrics, and collaborating with stakeholders to enhance data governance. This position is available for candidates located in Seattle, WA or Santa Monica, CA, and offers an on-site work environment.