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Senior Data QA Engineer

Nepal

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.  
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.  

Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change.  Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.

About the Role:

We are seeking an experienced Senior Data QA Engineer to lead the design and implementation of comprehensive data quality testing strategies for our data platforms and pipelines. In this role, you will be responsible for ensuring data integrity, accuracy, and reliability across our data ecosystem through advanced testing methodologies and automation frameworks.

Your day to day:

  • Design and implement end-to-end data quality testing strategies for data pipelines, ETL/ELT processes, and data warehouses
  • Develop automated data validation frameworks to verify data accuracy, completeness, and consistency
  • Create and maintain data quality metrics, monitor dashboards, and alert mechanisms
  • Perform complex SQL queries to validate data transformations and business logic
  • Design test cases for data ingestion, processing, and consumption layers
  • Collaborate with data engineers, data scientists, and analysts to understand data requirements and quality standards
  • Lead root cause analysis for data quality issues and implement preventive measures
  • Mentor junior QA engineers and establish data testing best practices

What We're Looking For:

  • Bachelor’s or master’s degree in computer science, Business Administration, or comparable professional experience
  • Minimum 5 years of data quality assurance expertise within healthcare technology companies or health insurance organizations
  • Proficient in complex data transformation and manipulation techniques
  • Advanced SQL expertise with proven experience in data integration and validation
  • Comprehensive understanding of ETL/ELT workflows and quality assurance methodologies for data processing validation
  • In-depth expertise in data pipeline architecture and implementing quality control frameworks
  • Practical experience with Spark SQL for distributed data processing
  • Extensive knowledge of healthcare data domains including member enrollment, medical claims processing, and prescription drug claims; familiarity with emerging data sources (wellness programs, productivity metrics, and electronic medical records) is advantageous
  • Outstanding verbal and written communication abilities with demonstrated success in managing multiple priorities and delivering on tight timelines
  • Exceptional collaborative and relationship-building capabilities
  • Self-directed professional who excels both as an individual contributor and team player, with proven mentoring experience
  • Hands-on experience with scripting languages, particularly Python and Java
  • Comprehensive expertise in AWS cloud services including S3, EC2, Systems Manager, Athena, and Databricks platform
  • Thorough understanding of software testing methodologies, debugging techniques, and quality assurance protocols

Nice to Have:

  • Experience with Big Data, Snowflake, and ETL test automation
  • Hands‑on API testing experience
  • Healthcare domain knowledge, including HEDIS quality measures
  • Machine Learning and Artificial Intelligence concepts with practical application experience in production environments
  • Proficiency in testing automation frameworks and database technologies

What you’ll get in return 

  • Competitive Leave & Benefits
  • Comprehensive health coverage
  • Equity for every employee – share in our success
  • Growth-focused environment – your development matters here

Working Arrangements

  • Standard hours: 9 hours/day, 5 working days
  • Location: Onsite
  • Shift: 10 AM – 7 PM local time

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

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