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Sr. Associate, Data Quality Engineering

1 month, 2 weeks ago
Anywhere
Full-time
Mid Level
Data Engineer
Software Development
AWS Azure CI/CD GCP Pandas Python SQL
Apply Now
Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020
View All Jobs 11

Description

  • Design, develop, and maintain automated data quality checks, validation rules, and exception-handling pipelines using Python.
  • Implement and maintain data quality frameworks aligned with DAMA-DMBOK and internal governance standards.
  • Develop data quality metrics, scorecards, and dashboards to monitor completeness, accuracy, consistency, timeliness, and validity.
  • Build and maintain monitoring pipelines that integrate with the data lake, data warehouse, and ETL/ELT workflows.
  • Collaborate with data stewards, data owners, and business stakeholders to define quality thresholds and remediation workflows.
  • Investigate root causes of data quality issues across investment, treaty, claims, and exposure datasets and drive resolution.
  • Partner with data engineering teams to integrate quality gates into CI/CD and data pipeline processes.
  • Maintain documentation of quality rules, data lineage, and remediation outcomes in the data governance catalog.
  • Support internal and external audits by providing data quality evidence and lineage reports.

Requirements

  • 3–6 years of experience in a data quality, data engineering, or analytics engineering role.
  • Experience in reinsurance, insurance, or financial services preferred.
  • Hands-on experience with SQL and cloud-based data environments.
  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.
  • Strong proficiency in Python for data processing, quality rule development, and pipeline automation; experience with tools such as pandas, Great Expectations, or polars preferred.
  • Familiarity with data governance principles and frameworks such as DAMA-DMBOK, DCAM, or equivalent.
  • Experience working within structured data environments in financial services, insurance, or reinsurance.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Ability to communicate technical data quality concepts clearly to non-technical business stakeholders.
  • Understanding of data controls supporting audit, compliance, and reporting requirements preferred.

Benefits

  • Base salary range of $120,000–$130,000 USD.
  • Annual bonus based on company and individual performance.
  • Generous benefits package.
  • Potential pay adjustments based on local cost of labor.
  • Commitment to inclusion and belonging in the workplace.

Interested in this position?

Apply directly on the company website

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