Senior Data QA Engineer

December 10

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Trella Health

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Health Care • Data Analytics • Big Data • Operational Efficiencies • Home Health

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

Description

•Develop, implement, maintain, and document a comprehensive data QA process and framework. •Continuously refine and optimize the data QA process and quickly integrate new data sources. •Create new and maintain existing documentation for testing Trella Health’s products. •Test data and solutions against business requirements. •Validate data integrity, consistency, and accuracy across various data sources. •Conduct data validation and verification processes. •Perform data profiling and root cause analysis. •Leverage machine learning techniques to automate and enhance the data QA process. •Utilize knowledge of healthcare claims data and outcome measures. •Proactively assess risks and help to find issues early. •Stay informed of industry best practices and emerging trends in data QA tools and methodologies. •Guide team members on QA best practices and findings. •Provide feedback to data scientists and stakeholders on data quality issues. •Work closely with cross-functional teams to understand data requirements. •Actively participate in Agile/Scrum processes.

Requirements

•Experience with healthcare claims data and quality metrics. •Minimum of 5 years of experience in data quality assurance or data analysis. •Proven experience with data validation, data profiling, and root cause analysis. •In-depth knowledge of data warehousing, ETL processes, and data pipeline architectures. •Ability to manage, analyze, and derive insights from large, complex custom datasets. •Experience with programming languages such as Python and SQL for data validation and automation. •Experience with machine learning techniques and tools to automate and enhance QA processes. •Strong analytical and problem-solving skills with a focus on data-driven decision-making. •Excellent verbal and written communication skills with the ability to convey and document complex technical concepts. •Ability to work both independently and in a collaborative environment. •Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

Benefits

•Health, Dental, Vision & Voluntary Benefits •Competitive Salary & Bonus Plans •401k Retirement Savings •Unlimited PTO & 10 Paid Holidays •Flexible Work Hours •Equity Shares •Paid Leave Programs •Marketplace for discounted retail and entertainment