Senior Data Governance, Quality Engineer

Job not on LinkedIn

October 20

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

🦅 H1B Visa Sponsor

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Abacus Insights

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Healthcare Insurance • SaaS • Data Management

Abacus Insights is a leader in health plan data solutions that empowers healthcare payers by providing usable and interoperable data. The company offers a comprehensive suite of data solutions designed to address complex government mandates and improve payer readiness. Abacus Insights' platform is capable of consolidating and normalizing diverse data sources into comprehensive patient records, ensuring data accuracy, and facilitating timely data updates. Their solutions support multiple use cases, including risk adjustment, clinical data exchange, cost management, and performance reporting. With a focus on technology and healthcare, Abacus Insights helps payers manage costs and improve member experiences through enhanced data management capabilities.

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

📋 Description

• Maintain the integrity, accuracy, and reliability of data throughout our enterprise data ecosystem. • Design and implement scalable data quality frameworks. • Drive governance initiatives and collaborate with cross-functional teams. • Develop, implement, and sustain a comprehensive data quality framework. • Operationalize the enterprise data governance framework. • Identify and address data anomalies, inconsistencies, duplicates, and missing values. • Conduct periodic audits to ensure ongoing data integrity. • Partner with data engineers, architects, product teams, and analysts to define data quality requirements. • Develop clear and actionable dashboards and reports to visualize data quality trends, KPIs, and issue resolution progress. • Collaborate with data stewards and product owners to investigate and resolve data quality issues. • Apply strong understanding of data models to evaluate and improve data structures and flows. • Take ownership of assigned initiatives and execute plans effectively.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. • Minimum 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles. • Strong hands-on experience with Databricks, PySpark, Python, and SQL. • Proficiency in SQL, Python, and modern data pipeline tools. • Familiarity with data governance and quality tools (e.g., Collibra, Informatica, Alation, Great Expectations). • Experience working with cloud platforms (AWS, Azure, or GCP). • Strong understanding of BI and reporting tools such as Power BI, Tableau. • In-depth knowledge of data lifecycle management, data lineage, and metadata management. • Awareness of current and emerging data governance and data management best practices. • Strong analytical and problem-solving mindset. • Excellent communication and stakeholder engagement abilities. • Proven capability to operate independently and deliver results in a dynamic environment.

🏖️ Benefits

• Equal Opportunity Employer • Diverse teams and ideas