Senior Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $140k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Accorded

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 Series A - Accorded on 2021-12

Healthcare • SaaS • B2B

Accorded is a healthcare-focused actuarial data and services company. It provides the Acumen managed actuarial data platform that converts fragmented claims and other sources into analytics-ready, actuarial-grade tables and pairs that software with tech-enabled actuarial experts. Accorded serves health plans, providers, and employers with solutions for risk adjustment, episode-of-care modeling, dynamic benchmarking, contract performance, and ROI analysis. The platform is warehouse-agnostic, emphasizes enterprise security (SOC 2 Type II, encryption, audit trails), and is designed to modernize actuarial workflows and put financial intelligence behind healthcare risk decisions, with customers going live in weeks.

📋 Description

• Build, maintain, and optimize healthcare data integrations and transformation pipelines • Incorporate robust testing to ensure high data integrity • Design, implement, and maintain complex domain and business logic models for Accorded’s Acumen product • Work with Actuarial and Product teams • Interface directly with customers to deliver data integrations • Provide technical troubleshooting and resolve pipeline issues • Participate in code reviews • Maintain rigorous code quality standards • Leverage modern tools, including AI-assisted development, effectively and responsibly • Drive architectural decisions

🎯 Requirements

• 5+ years of engineering experience working directly with data products • Hands-on experience with Medicare, Medicaid, or Commercial data (payor or provider side) • Expertise in healthcare data, preferably claims and eligibility / enrollment data • Strong proficiency in SQL and Python • Extensive experience in data modeling, data warehousing, and ETL processes • Production experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift • Experience working directly with an analytics product and operating or supporting an analytics delivery team • Demonstrated ability to use AI tools for development effectively and responsibly • Professional experience with dbt (preferred) • Hands-on experience implementing automated data testing and monitoring frameworks such as Great Expectations, Monte Carlo, or dbt tests (preferred) • Track record of operating in fast-paced, ambiguous environments with high autonomy and direct product ownership (preferred) • Demonstrated ability to interface directly with external clients/partners for technical integration scoping, data onboarding, and hands-on troubleshooting (preferred) • Remote candidates must live in and be authorized to work in the United States