Overview
Senior Data Management Professional - Data Quality Engineer role within the Company Financials team. We are looking for a data quality engineer dedicated to ensuring the integrity, accuracy, and reliability of data across complex systems. You will investigate issues independently, build scalable solutions, and collaborate with data scientists, engineers, and business stakeholders to scale data quality across datasets.
Responsibilities
- Take ownership of data quality initiatives that span multiple critical data pipelines.
- Lead projects globally to improve data quality across all datasets under Company Financials.
- Harness new and existing tools for proactive data monitoring, validation, and anomaly detection.
- Use statistical techniques and identify machine learning opportunities to profile datasets and detect inconsistencies or trends.
- Collaborate with stakeholders across product, engineering, and operations to address root causes of data issues.
- Act as the point of escalation for systemic data quality issues; investigate, resolve, and prevent them while balancing urgency and technical debt.
Qualifications
- A BA/BS degree (or higher) in Computer Science, Mathematics, or a relevant data technology field, or equivalent professional experience.
- 4+ years of Python programming and scripting in a production environment.
- 4+ years of experience in data analysis, financial market research, and/or information technology.
- Knowledge of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus).
- Ability to conduct data profiling and data analysis (Python is a plus) and visualize results with tools such as Python libraries, Qlik Sense, or Tableau.
- Strong analytical abilities with a passion for data and evidence-based decision-making.
- Excellent communication and project management skills; able to explain concepts to technical and non-technical audiences.
- Understanding of basic equity markets concepts and their application to financial data.
- Ability to combine technical skills with business insight.
Preferred/Nice-to-Have
- Master's degree or equivalent experience or certifications such as CFA or CAIA.
- Experience with data observability platforms (e.g., Great Expectations, Soda).
- Exposure to distributed systems like Spark.
- Background in statistics or machine learning.
- Experience navigating complex data environments.
Compensation & Benefits
Salary Range: 110### ####00 USD annually plus benefits and bonus. The posted range reflects good faith estimates at the time of posting and may vary based on location, experience, market conditions, education, and skill level. Benefits include medical/dental/vision, 401(k) with match, life insurance, disability benefits, paid holidays and time off, and wellness programs. Contingent workers/contractors and interns are not eligible for company benefits.
Seniority level
Employment type
Job function
Industries
- Business Consulting and Services
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