Sr. Associate, Data Quality Engineering
New
Based in the United StatesFull-TimeSenior
Salary$120,000 – $130,000 USD, plus annual performance-based bonus
Apply NowOpens the employer's application page
Job Details
- Experience
- 3–6 years
- Required Skills
- PythonSQLCloud ComputingETLData engineeringCI/CD
Requirements
- 3–6 years of experience in data quality, data engineering, analytics engineering, or related roles.
- Strong proficiency in Python for data processing and automation (e.g., pandas, data quality frameworks such as Great Expectations).
- Solid SQL skills and experience working with cloud-based platforms such as AWS, Azure, or GCP.
- Familiarity with data governance frameworks such as DAMA-DMBOK, DCAM, or equivalent standards.
- Experience working with large-scale datasets in regulated environments with audit and compliance requirements.
- Experience in insurance, reinsurance, or financial services environments is strongly preferred.
- Strong analytical mindset with exceptional attention to detail and problem-solving ability.
- Ability to communicate complex data quality concepts clearly to both technical and non-technical stakeholders.
- Ownership mindset with the ability to independently drive issues from identification through resolution.
Responsibilities
- Design and implement automated data quality checks, validation rules, and exception-handling workflows using Python and SQL.
- Develop and maintain data quality metrics, scorecards, and dashboards covering key dimensions such as completeness, timeliness, and validity.
- Build monitoring pipelines integrated with data lakes, warehouses, and ETL/ELT processes to ensure continuous data integrity.
- Collaborate with data stewards, engineers, and business teams to define data quality thresholds and remediation processes.
- Investigate and resolve root causes of data issues across investment, claims, treaty, and exposure datasets.
- Integrate data quality controls into CI/CD pipelines and broader data engineering workflows.
- Maintain clear documentation of data quality rules, lineage, and audit evidence for governance and compliance needs.
View Full Description & ApplyYou'll be redirected to the employer's site
