Associate Data Engineer
Abacus Insights1 day ago
Responsibilities
- Partner with clients, implementation teams, and internal stakeholders to understand data distribution requirements.
- Perform data analysis, profiling, mapping, validation, and root cause analysis for healthcare data outputs.
- Build and maintain data distribution extracts, SQL queries, and scripts with guidance from senior team members.
- Optimize extract scripts for performance, scalability, and reliability.
- Document requirements, workflows, data mappings, and technical decisions.
- Participate in client meetings, project discussions, and internal working sessions while communicating progress.
Requirements
- Recent graduate with a bachelor's or master's degree, or equivalent relevant academic, project, internship, or professional experience in data engineering, analytics, computer science, information systems, or a related technical field.
- Strong SQL programming skills, including query writing, data analysis, and troubleshooting.
- Exposure to data analysis, profiling, reporting, mapping, or validation through coursework, internships, projects, research, or prior work.
- Interest in healthcare data systems, including membership, claims, or provider data.
- Ability to work with large or complex datasets and apply analytical problem-solving.
- Strong communication, organization, attention to detail, and collaboration skills.
- Experience or coursework with AWS, Azure, Databricks, Spark, Snowflake, ETL, query optimization, performance tuning, or data pipeline development is preferred but not required.
Benefits
- Unlimited paid time off.
- Work from anywhere with a fully remote work arrangement.
- Comprehensive health coverage with multiple plan options.
- Equity for every employee.
- Growth-focused development environment.
- One-time home office setup allowance.
- Monthly cell phone allowance.
Tech Stack
Categories
Data Engineering
About Abacus Insights
Abacus Insights builds a cloud-based, AI-ready data platform for health plans that ingests, standardizes, and governs payer and clinical data to power analytics and workflows. Sold as SaaS with pre-built connectors, it supports CMS interoperability, risk adjustment, HEDIS/Stars quality improvement, and payment integrity. Founded in 2017 and headquartered in Boston, the privately held company reports 35 payer customers covering 65 million members.