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. Our platform allows our customers to uncover differentiated insights that address their client's needs. In addition, our employees know they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met.

With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to historically siloed and inaccessible data. Through our platform, these healthcare organizations can ingest and manage all the data they need to transform their business by supporting their analytical, operational, and financial needs.

Since our founding in 2017, Abacus has built a highly successful SaaS business, raising $100 Million from leading VC firms with deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in a sector ready for disruption. We're growing quickly 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 eWorts and ensure timely delivery.

• Communicate risks, progress, and quality metrics to leadership and cross- functional teams.

What we're looking for:

• 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)

Our team thrives on a foundation of open collaboration, daily standup meetings, and a culture rooted in mutual respect and continuous professional development. We believe that strong communication and shared ownership are key to delivering high-quality outcomes. This role emphasizes direct, hands-on leadership and encourages active engagement with team members to foster alignment, accountability, and innovation. As Engineering Manager, you will play a critical role in shaping the team’s direction, mentoring talent, and driving initiatives that elevate our data engineering and QA capabilities. If you are passionate about building scalable data systems and leading a high- performing team in a dynamic, growth-oriented environment, we invite you to apply and be part of our journey.

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.