Senior Data Engineer

Saasventurecapital; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

Accorded is seeking a Senior Data Engineer to shape the Acumen product by transforming complex healthcare data into scalable, high-performing models. You will partner with actuaries, engineers, and product leaders to translate data into actionable insights and robust data pipelines.

You will influence architectural decisions, own data quality, and drive modernization with AI-assisted tools in a collaborative, ownership-driven environment. Remote-friendly for US-based candidates.

Qualifications

• 5+ years of engineering experience with data products.
• Hands-on healthcare data (Medicare/Medicaid/Commercial) data expertise.
• Strong SQL and Python with data warehousing, ETL experience.
• Production cloud data warehousing experience (BigQuery/Snowflake/Redshift).
• Experience with analytics products and supporting analytics delivery teams.
• Experience using AI tools for development with rigorous testing.

Responsibilities

• Build and optimize healthcare data integrations and transformation pipelines with robust testing.
• Design and implement domain models to advance Accorded’s Acumen product.
• Collaborate with Actuarial, Product, and clients to deliver data integrations and troubleshooting.
• Uphold engineering standards and leverage AI-assisted development responsibly.

Skills

SQL

Python

Data Modeling

ETL

Healthcare data domain experience

Education

Bachelor's degree

Tools

BigQuery

Snowflake

Redshift

dbt

AI tooling

Job description

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.

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.