Senior Data Engineer at Accorded in Remote (United States)
- Company: Accorded
- Location: Remote (United States)
- Posted: Sep 19, 2026
- Type: Full-time
- Salary: 140,000 - 175,000 USD per year
- Experience: 5+ years
Overview
Healthcare Data Integration: Build, maintain, and optimize healthcare data integrations and transformation pipelines, incorporating robust testing to ensure high data integrity. Product Development: Design, implement, and maintain complex domain and business logic models to continuously advance and …
Responsibilities
- Healthcare Data Integration: Build, maintain, and optimize healthcare data integrations and transformation pipelines, incorporating robust testing to ensure high data integrity.
- Product Development: Design, implement, and maintain complex domain and business logic models to continuously advance and prove out Accorded’s Acumen product.
- Cross-Functional & Client Collaboration: Work closely with internal teams (Actuarial, Product) and interface directly with customers to deliver high-quality data integrations, provide technical troubleshooting, and resolve pipeline issues.
- Uphold Engineering Standards: Participate in code reviews, maintain rigorous code quality standards, and leverage modern tools including AI-assisted development effectively and responsibly.
Requirements
- 5+ years of engineering experience working directly with data products.
- Healthcare Domain Experience: Hands-on experience with Medicare, Medicaid, or Commercial data (payor or provider side), with expertise in healthcare data, preferably claims and eligibility / enrollment data.
- Core Data Engineering Background: Strong proficiency in SQL and Python, along with extensive experience in data modeling, data warehousing, and ETL processes.
- Cloud Data Warehousing: Production experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
- Analytics Product & Team Support: Experience working directly with an analytics product and operating or supporting an analytics delivery team.
- Experience with AI-Supported Software Development: Demonstrated ability to use AI tools for development effectively and responsibly (e.g., knowing when to trust AI outputs and how to rigorously test AI-led code changes).
- DBT Experience: Professional experience with dbt (data build tool) for data transformation layers.
- Data Quality & Observability: Hands-on experience implementing data automated testing and monitoring frameworks (e.g., Great Expectations, Monte Carlo, dbt tests).
- Early-Stage / Startup Agility: Track record of operating in fast-paced, ambiguous environments with high autonomy and direct product ownership.
- Customer-Facing Technical Experience: Demonstrated ability to interface directly with external clients/partners for technical integration scoping, data onboarding, and hands-on troubleshooting.
Skills
Required
- SQL
- Python
- Data modeling
- Data warehousing
- ETL processes
- AI tools for development
- Code review and code quality standards
Preferred
- dbt (data build tool)
- Startup agility
- Customer-facing technical experience
Benefits
- 140,000 - 175,000 USD per year (Remote)
About Accorded
At Accorded, we are building a product that translates complex healthcare data and analytics into actionable financial and clinical insights. As a Senior Data Engineer, you will directly shape and prove out our core product, Acumen. You will work closely alongside actuaries, engineers, and product leaders to turn messy healthcare data into scalable, high-performing data models. We value high ownership, low bureaucracy, and modern engineering practices. You’ll drive architectural decisions and use / develop cutting-edge tools (including the responsible use of AI to accelerate development) on a highly collaborative team where your work has immediate impact.