Associate Data Engineer
About The Position
Abacus Insights is hiring an Associate Data Engineer for its Data Engineering team. The role partners with clients, implementation teams, and internal stakeholders to deliver high-quality data extracts and distribution solutions from Abacus’s core data management platform, which is built on scalable, flexible, and resilient cloud architectures. This early-career opportunity is designed for recent graduates who want to develop a foundation in data engineering, healthcare data, and client-facing delivery. The associate supports client adoption of Abacus’s data management offerings while gaining practical experience in data analysis, mapping, SQL, data quality, and cloud-based data services. Applicants must be authorized to work in the United States at the time of hire. Recent graduates currently authorized to work under F-1 Optional Practical Training (OPT) are welcome to apply.
Requirements
- Recent graduate with a Bachelor’s or Master’s degree, or equivalent academic, project, internship, or professional experience relevant to data engineering, analytics, computer science, information systems, or a related technical field.
- Strong SQL programming skills, including the ability to write queries, analyze data, and troubleshoot results.
- Exposure to data analysis, data profiling, reporting, data mapping, or data validation through coursework, internships, projects, research, or prior work experience.
- Interest in healthcare data and systems, including membership, claims, provider, or related healthcare data sets.
- Ability to work with large or complex data sets and apply analytical thinking to solve business and technical problems.
- Strong problem-solving skills and willingness to perform root cause analysis on data, processes, and outputs.
- Clear communication skills and ability to collaborate with technical and non-technical stakeholders.
- Strong organizational skills, attention to detail, and ability to manage work in a fast-moving environment.
- Curiosity, humility, and willingness to learn new tools, technologies, and healthcare data concepts.
- Desire to contribute individually while collaborating closely with others.
- Must be authorized to work in the United States at the time of hire.
Nice To Haves
- Experience or coursework involving AWS, Azure, Databricks, Spark, or other cloud-based data platforms.
- Experience or exposure to Snowflake or similar cloud data warehouse technologies.
- Academic, internship, or project experience involving performance tuning, query optimization, ETL, or data pipeline development.
Responsibilities
- Partner with clients, implementation teams, and internal stakeholders to understand data distribution requirements.
- Perform data analysis, data profiling, and data mapping to support accurate client outputs.
- Build and maintain data distribution extracts, SQL queries, and scripts with guidance from senior team members.
- Support optimization of data extract scripts for performance, scalability, and reliability.
- Validate outputs, investigate data issues, and contribute to root cause analysis when discrepancies arise.
- Document requirements, workflows, data mappings, and technical decisions to support repeatable delivery.
- Participate in client meetings, project discussions, and internal working sessions to learn requirements and communicate progress.
- Collaborate with teammates to solve data challenges and contribute to a high-performing, inclusive, and supportive team culture.
- Bring curiosity and ideas for process improvements, automation, and more efficient ways of working.
Benefits
- Unlimited paid time off.
- Work-from-anywhere flexibility.
- Comprehensive health coverage with multiple plan options.
- Equity for every employee.
- Growth-focused environment.
- One-time home office setup allowance.
- Monthly cell phone allowance.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
