Abacus Insights

Define test strategies for Abacus products and ensure software quality through continuous testing. Collaborate with development teams to create and maintain automation test cases. | Candidates should have strong communication skills and a solid understanding of software lifecycle and quality assurance processes. Experience with AWS, Azure, and database systems is essential. | Abacus Insights is a mission-driven technology company focused on transforming the healthcare data 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. 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. 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 data that has been historically siloed and inaccessible. 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 more than $81 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 that is not only ready for disruption. We're growing quickly and would love for you to be a part of it! About the Team & Role Our Platform QA team is looking for a Sr. Software Engineer in Test that will help provide direction and leadership with our product validation strategy and processes at Abacus Insights. This person will play a critical role in our Platform QA team to help define our test plans, integrate new features, and define test cases for our platform to be implemented by our automation team. This technical leadership role will work across various applications and technologies in collaboration with several development teams across the business. You Will: Define test strategies for Abacus products covering design, implementation, and maintenance of test cases for functional, end to end and performance testing. Define test suites based on best practices and adherence to standards. Ensure software quality via continuous and iterative testing Participate in internal reviews of software components and test automation. Create and maintain automation test cases in CI/CD pipelines with Python. Work with complex data applications developed on AWS and Azure platforms. What we're looking for: A self-starter with strong communication skills and with a strong understanding of Software Lifecycle and Quality Assurance processes for manual and automated testing. A contributor with strong integration skills that will evaluate new features, test them and update or create existing test cases. Strong communication skills are crucial to highlight findings and raise prioritization when needed. Strong knowledge of AWS and Azure platforms. Strong Knowledge of Database Systems (MongoDB, SQL, MySQL) and Data Validation. Knowledge of healthcare standards. Excellent analytical, problem-solving, and trouble-shooting skills. Experience with Micro services architecture, container management, API gateways, and tools like Kubernetes. Experience with Postman and/or API Endpoint validation. Gitlab and CI/CD pipeline experience. 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.

The Principal DevOps Engineer will architect, build, and maintain secure, scalable infrastructure on multiple cloud platforms while collaborating with various teams to design robust infrastructure solutions. They will also drive the design and implementation of CI/CD pipelines and promote best practices within the organization. | Candidates should have over 7 years of development experience with a strong focus on cloud technologies, particularly AWS. A solid understanding of Linux systems, CI/CD systems, and containerization technologies is also required. | Abacus Insights is a mission-driven technology company focused on transforming the healthcare data 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. 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. 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 data that has been historically siloed and inaccessible. 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 more than $81 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 that is not only ready for disruption. We're growing quickly and would love for you to be a part of it! About the Role: The DevOps Team focuses on improving the telemetry around and availability of Abacus' product offerings while contributing to the sustainability of engineering practice throughout the organization. As the "engineers behind the engineers," we are responsible for a diverse set of tasks from across the DevOps spectrum. We work in many contexts, using many tools and technologies to remove obstacles and keep the rest of the engineering organization moving as efficiently and effectively as possible. We are a small, nimble team making an outsized impact. You Will: - Architect, build, and maintain secure, scalable, HIPAA- and HITRUST-compliant infrastructure on multiple cloud platforms (AWS and Azure) - Design, implement, and manage scalable, secure, and highly available cloud infrastructure - Define DevOps architecture best practices and lead the strategic direction for CI/CD and infrastructure as code (IaC) - Collaborate with Engineering, Product, and Security teams to design and troubleshoot robust infrastructure solutions - Develop and maintain CI/CD pipelines using Python-based scripts to automate testing, validation, and deployment workflows - Architect and manage containerized environments using Kubernetes (EKS, AKS, and self-hosted) - Design and implement comprehensive monitoring and observability using tools like Prometheus, Grafana, and Splunk - Drive design, implementation, and adoption of our custom Python- and Cloud-based deployment platform with an eye toward continuous delivery - Be a leader and promoter of best practices both within the team and within the larger organization What We're Looking For: - 7+ years of development experience, including architecture and design of complex systems - Deep cloud experience, AWS preferred - Solid understanding of Linux systems administration and networking - Experience implementing a CI/CD system using an industry-standard platform such as GitLab, Jenkins, or Travis - Knowledge of containerization, specifically Docker and Kubernetes - Fluent command of the tools of the trade, including Bash, Python, and Terraform - Knowledge of best practices as related to designing and building efficient, maintainable, testable, portable applications - Keen attention to detail - Excellent communication skills, both written and verbal - A team-first attitude, always looking to improve yourself and those around you 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.

Lead and manage a global client data engineering team focused on client implementations, data integration, and process optimization in healthcare data. | Minimum 5 years data engineering experience with strong ETL, Python/PySpark, SQL, AWS, healthcare data knowledge, leadership skills, and experience collaborating with offshore teams. | Abacus Insights is a mission-driven technology company focused on transforming the healthcare data 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. 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. 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 data that has been historically siloed and inaccessible. 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 more than $81 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 that is not only ready for disruption. We're growing quickly and would love for you to be a part of it! About the Role:  The Manager, Client Data Engineering is a pivotal member of our TechOps/Technical Implementation team, responsible for overseeing a global team of 8-10 professionals. This role requires a highly experienced individual to guide feature delivery teams and lead client implementation efforts. The focus is on managing data engineering processes, particularly in ETL, data mapping, and clinical data management. The ideal candidate will possess extensive expertise in ETL processes and data mapping integration, with a strong understanding of healthcare systems and clinical data to effectively address industry-specific challenges. Proficiency in Python and PySpark is essential for data manipulation, while advanced SQL skills will support efficient dataset management. Familiarity with AWS services, Databricks, and Snowflake is crucial for a comprehensive approach to data storage and processing. Experience with GitLab or GitHub is also necessary to ensure seamless collaboration and code management. This hands-on managerial role demands both leadership and technical proficiency to drive successful client implementations. You Will: • Oversee Implementation Team: Lead the team responsible for implementing new clients, ensuring all processes are carried out smoothly and efficiently. • Streamline CMS InterOp Implementation Process: Enhance and optimize the InterOp implementation procedures to improve efficiency and performance. • Collaborate with Offshore Teams: Work closely with offshore teams to align efforts and achieve common goals. • Mentor and Guide New Hires: Provide guidance and support to new team members, fostering a collaborative and productive work environment. • Manage Day-to-Day Operations: Take on some of the current manager’s responsibilities to ensure the seamless execution of daily implementation tasks. • Set Performance Metrics: Establish clear performance objectives and key results for the team, tracking progress and making necessary adjustments. • Foster Innovation: Encourage the team to explore new methods and technologies to continually improve client data engineering processes. What We're Looking For: • Proven Experience in Data Engineering: Minimum of 5 years in data engineering with a focus on client implementations. • Strong InterOp Knowledge: Demonstrated expertise in InterOp processes and technology. • Leadership Skills: Experience in managing and mentoring technical teams. • Collaboration with Global Teams: Proven ability to work effectively with offshore and diverse teams. • Efficient Process Management: Track record of streamlining data implementation processes. • Communication Proficiency: Excellent written and verbal communication skills for client and team interactions. • Analytical Abilities: Strong problem-solving skills with a data-driven approach. • Technical Skills • ETL Expertise: Extensive experience in Extract, Transform, Load processes, with a proven ability to handle complex data integration tasks. • Data Mapping Proficiency: Skilled in mapping diverse data formats, ensuring seamless data flow and transformation. • Healthcare Knowledge: Strong understanding of healthcare systems and standards, enhancing the ability to address industry-specific data challenges. • Clinical Data Acumen: Experience with clinical data, including familiarity with electronic health records and compliance requirements. • Python/PySpark Skills: Proficient in using Python and PySpark for data manipulation and analysis. • Strong SQL Experience: Advanced SQL skills for querying, optimizing, and managing large datasets efficiently. • AWS Expertise: Proficient in using AWS services for data storage, processing, and analytics. • Databricks Experience: Hands-on experience with Databricks for big data processing and collaborative analytics. • Snowflake Skills: Knowledgeable in using Snowflake for efficient data warehousing and management solutions. • Version Control Experience: Familiarity with code check-in processes and experience using GitLab or GitHub for version control and collaboration. Bonus Points: • Advanced Degree: Master's in Data Science, Computer Science, or a related field. • Healthcare Background: Additional experience in healthcare analytics or administration. • Machine Learning: Familiarity with machine learning techniques and tools. • Data Visualization: Proficiency in data visualization tools such as Tableau or Power BI. • DevOps Experience: Understanding of DevOps practices to enhance data engineering processes. 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.