Abacus Insights

Solutions Engineer

• Author the project architecture design documents
• Work across business and IT teams to understand current business and system capabilities
• Collaborate with cross-functional teams to implement client projects
• Collaborate with Product Management to identify client-specific requirements
• Define the solution architecture visions for designated components
• Provide mentorship to internal teams on business needs and use cases

Solution Architect, Interoperability

Data Engineer

• Monitor production data pipelines and systems, identifying failures, latency issues, schema changes, and data quality anomalies.
• Debug pipeline failures by analyzing logs, metrics, SQL outputs, and upstream/downstream dependencies.
• Assist in root cause analysis (RCA) for data incidents and contribute to implementing corrective and preventive solutions.
• Support the maintenance and optimization of ETL/ELT workflows to improve reliability, scalability, and performance.
• Automate recurring data operations tasks using Python, shell scripting, or similar tools to reduce manual intervention.
• Assist with data mapping, transformation, and normalization efforts, including alignment with Master Data Management (MDM) systems.
• Collaborate on the generation and validation of synthetic test datasets for pipeline testing and data quality validation.
• Shadow senior engineers to deploy, monitor, and troubleshoot data workflows on AWS, Databricks, and Kubernetes-based environments.
• Ensure data integrity and consistency across multiple environments (development, staging, production).
• Clearly document bugs, data issues, and operational incidents in Jira and Confluence, including reproduction steps, impact analysis, and resolution details.
• Communicate effectively with cross-functional, onsite, and offshore teams to escalate issues, provide status updates, and track resolutions.
• Participate in Agile ceremonies and follow structured incident and change management processes

Data Operations Engineer Intern

• Work with clients and implementation teams to understand the data distribution requirements.
• Perform data analysis and data mapping required to produce client output.
• Build the data distribution extracts and scripts.
• Optimize the performance of the data extract scripts.
• Foster a dynamic, high-preforming, and collaborative culture.
• Guide team members to solve issues and help them to understand any challenges.
• Spearhead clients’ projects and handle client calls.
• Constantly think about process enhancements and bring different ideas into table.

Data Engineer Intern

Technical Account Manager

• We are seeking an experienced Technical Account Manager to support our growing client base.
• This role is an individual contributor reporting to the Senior Manager, Client Technical Support.
• The successful candidate will serve as the liaison between the product implementation team and product support.
• The Technical Account Manager is responsible for ensuring client’s production environment operates at optimum levels, timely resolution of technical issues, driving customer satisfaction, and continuously working with the Senior Manager, Client Technical Support to improve processes.
• Oversee daily operations of clients assigned to you, ensuring SLAs and KPIs are met, and production issues are resolved.
• Manage escalations and ensure prompt resolution of complex technical issues.
• Coordinate across functional teams (Product, Engineering, Client Solutions) to resolve client production issues.
• Collaborate with cross-functional teams (Product, Engineering, Client Solutions) to address recurring issues and improve product quality.
• Perform data analysis and solve complex technical issues.
• Manage client relationships and coordinating deliverables.

QA Engineer

• Assist in estimating effort for QA tasks under the guidance of senior team members
• Review requirement and mapping documents to help identify potential gaps or clarifications needed
• Support the creation of test scenarios and contribute to writing basic ETL test cases
• Write simple Source and Target SQL queries to support data validation efforts
• Provide support during User Acceptance Testing (UAT) cycles

QA Engineer Intern

• Partner with clients and implementation teams to understand data distribution requirements.
• Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
• Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.
• Translate business requirements into technical solutions in collaboration with cross-functional teams.
• Implement robust data security measures and ensure compliance with healthcare regulations such as HIPAA.
• Provide technical leadership, mentor junior engineers, and stay current with industry trends.
• Optimize data processes for efficiency, review architectures regularly, and maintain detailed documentation.
• Conduct training sessions for team members and clients to enhance understanding and utilization of data solutions.

Solution Architect, Interoperability

Data Operations Engineer Intern

Data Engineer Intern

Technical Account Manager

QA Engineer Intern

Senior Data Engineer