Fortitude Re
Financial Services
Sr.Associate,DataQualityEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Associate, Data Quality Engineering at Fortitude Re. Skills: Data Quality Engineering, Data Governance, SQL, Python. Integrate quality gates into CI/CD. Integrate quality gates into data pipeline processes”
Industry & Context.
Analytical skills; Problem-solving skills; Identifies gaps before they become issues
What They're Looking For.
Must Have
3-6 years of experience in data quality, data engineering, or analytics engineering, Hands-on experience with SQL, Working in cloud-based data environments
Nice to Have
Experience in reinsurance, insurance, or financial services, Experience with cloud platforms such as AWS, Azure, or GCP, Proficiency in Python for data processing, quality rule development, and pipeline automation, Familiarity with data governance principles and frameworks, Understanding of data controls supporting audit, compliance, and reporting requirements
What You'll Do.
Integrate quality gates into CI/CD
Integrate quality gates into data pipeline processes
Maintain documentation of quality rules
Maintain documentation of lineage
Maintain documentation of remediation outcomes
Support internal audits
Support external audits
Provide data quality evidence
Provide lineage reports
How You'll Work.
Team & Collaboration
Partner with data engineering teams
Communication Scope
Communicate technical data quality concepts
Full Job Description
Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life document findings and drive resolution. Partner with data engineering teams to integrate quality gates into CI/CD and data pipeline processes. Maintain comprehensive documentation of quality rules, lineage, and remediation outcomes within the data governance catalog. Support internal and external audits by providing data quality evidence and lineage reports. What You Will Have: 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 working in 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 (e.g., pandas, Great Expectations, polars) preferred. Familiarity with data governance principles and frameworks (DAMA-DMBOK, DCAM, or equivalent). Experience working within structured data environments in financial services, insurance, or reinsurance. Takes ownership of quality outcomes and delivers solutions end-to-end under limited supervision; identifies gaps before they become issues. Strong analytical and problem-solving skills with a 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. The base salary range for this role is listed below and will be commensurate with candidate experience. Pay ranges for candidates may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on compa
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