Engineering Manager - Data QA

Abacus Insights is a mission-driven, growth-stage technology company focused on transforming the healthcare industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights that address their clients' needs. 

With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we are transforming healthcare as the US leader in usable data for payers.  We have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. As a result, these payers can ingest and manage all the information they need to transform their business by supporting their analytical, operational, and financial needs through our platform. In addition, our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met.

Since our founding in 2017, Abacus has built a highly successful business, raising $100 Million by leading VC firms with profound expertise in the healthcare and technology industries. We are solving massive complex problems in an industry ready for disruption. We have powerful momentum and would love for you to be a part of it!

About the Role:

We are seeking a strategic and technically adept Engineering Manager to lead our Data QA team. This role is pivotal in ensuring the quality, reliability, and performance of our data pipelines, platforms, and analytics systems. The ideal candidate will combine deep QA expertise with strong leadership and cross-functional collaboration skills to drive continuous improvement and innovation in data quality practices.

Key Responsibilities:

Leadership & Strategy

• Lead and mentor a team of QA engineers focused on data validation, automation, and process optimization
• Define and execute the QA strategy for data products, ensuring alignment with engineering and business goals
• Foster a culture of ownership, accountability, and continuous learning

Technical Execution

• Oversee the development and maintenance of automated testing frameworks for data pipelines and ETL processes
• Ensure robust data quality checks, anomaly detection, and validation mechanisms across systems
• Collaborate with Data Engineering, Analytics, and Product teams to define test plans and acceptance criteria

Process & Efficiency

• Drive improvements in QA processes, tools, and metrics to enhance team productivity and product reliability
• Implement best practices in test automation, CI/CD integration, and agile methodologies
• Manage defect tracking, root cause analysis, and resolution workflows

Stakeholder Collaboration

• Act as a key liaison between QA, engineering, and business stakeholders to prioritize testing efforts and ensure timely delivery
• Communicate risks, progress, and quality metrics to leadership and cross functional teams. Qualifications
• Proven experience managing QA teams, preferably in data-centric environments
• Strong understanding of data engineering concepts, ETL workflows, and big data technologies
• Hands-on experience with test automation tools, scripting languages (e.g., Python, SQL), and QA frameworks
• Excellent communication, organizational, and leadership skills.

Preferred Tools & Technologies
• Databricks, Snowflake, SQL, PySpark
• Git, CI/CD pipelines
• Cloud platforms (Azure, AWS)
• Test frameworks (Telm.ai, Monte carlo, DQX)

Equal Opportunity Employer

As a mission-led technology company that is 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 proudly dedicate extensive time and resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment of any type 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.