Senior Data Engineer at Accorded

Matcha; Northern (KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Accorded is seeking a Senior Data Engineer to build and optimize healthcare data integrations within the Acumen product. You will own data pipelines, ensure quality, and partner across teams.

You will apply SQL, Python, and cloud warehousing in a healthcare context, collaborating with actuaries and customers, and contribute to AI-assisted development while upholding engineering standards.

Qualifications

• 5+ years of engineering experience with data products.
• Healthcare data experience with Medicare/Medicaid or commercial data.
• Strong SQL and Python, with data modeling and ETL experience.
• Cloud data warehousing experience (BigQuery/Snowflake/Redshift).
• Experience with analytics product and delivery teams.
• Experience with AI-assisted software development and testing.

Responsibilities

• Build and optimize healthcare data integrations and pipelines with robust testing.
• Design and maintain domain models for Acumen product.
• Collaborate with actuarial, product teams and clients to deliver data integrations.
• Participate in code reviews and enforce engineering standards with AI tooling.

Skills

Data engineering

SQL

Python

Healthcare data

Data warehousing

ETL processes

AI-assisted development

Tools

BigQuery

Snowflake

Redshift

dbt

Great Expectations

Monte Carlo

Job description

Key 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.

Required Qualifications

• 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).

Preferred Qualifications

• 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.

Additional Information

• Accorded is located in the San Francisco Bay Area. Remote candidates living and authorized to work in the United States are eligible to apply
• Accorded is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment and do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.