Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and enhance scalable data models in Snowflake and dbt that facilitate healthcare quality measurement, forecasting, reporting, and tailored workflows for clients.

• Lead intricate implementations of data ingestion and connectors for claims, enrollment, eligibility, pharmacy, surveys, plans, and reference data, utilizing SFTP, object storage, data shares, and APIs.

• Establish engineering patterns for orchestration, incremental processing, dependency management, reruns, reconciliation, and production support across Airflow and related workflows.

• Propel cloud modernization initiatives across AWS and Azure, incorporating Terraform-based infrastructure, secure connections, secrets management, environment promotion, and operational readiness.

• Enhance CI/CD and release methodologies utilizing GitHub Actions and associated tools, with automated testing, security checks, observability, and controlled production deployment.

• Convert healthcare quality requirements into sustainable technical designs for CMS Star Ratings, HEDIS, CAHPS, HOS, PQA, measure calculations, and scenario modeling.

• Examine intricate data and platform challenges, lead root-cause analysis, and enhance reliability, performance, cost-effectiveness, and data trust.

• Offer technical mentorship through architecture reviews, pull-request feedback, documentation, and reusable patterns without direct management responsibilities.

• Collaborate with product, client delivery, security, and engineering leaders to define project scopes, identify dependencies, discuss trade-offs, and meet customer commitments.

• Acquire knowledge of the Lilac platform, healthcare quality domain, data layers, orchestration, cloud environments, release processes, and customer expectations.

• Chart critical data flows from ingestion to measure calculation, forecasting, reporting, and application utilization.

• Take technical ownership of data-platform or customer-integration workstreams and guide cross-functional delivery from production validation to post-release monitoring.

⛳️ Requirements

• Extensive professional experience in building and managing production data platforms, with senior-level responsibility for architecture, delivery, and operational outcomes.

• Proficient in SQL and data modeling, with hands-on production experience using Snowflake and dbt or similarly advanced modern cloud-warehouse tools.

• Experience in designing robust batch data pipelines and ingestion frameworks, covering schema mapping, incremental processing, testing, reconciliation, and failure recovery.

• Strong software engineering capabilities in Python or another production language, adhering to disciplined version control, code review, automated testing, and documentation practices.

• Practical experience with infrastructure as code and CI/CD, employing Terraform and GitHub Actions or equivalent tools.

• Experience in operating within AWS and/or Azure environments, with practical knowledge of networking, identity, secrets, object storage, monitoring, and secure environment design.

• Proven ability to lead complex technical initiatives involving engineering, product, domain, security, and client-facing stakeholders.

• Commitment to the secure handling of regulated healthcare data, promoting least-privilege access, auditability, and production reliability.

• Bachelor's degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.

• Must successfully pass a pre-employment background check.

• Must be legally authorized to work in the United States.

• Sponsorship is not available.

• Strongly preferred: experience with healthcare payer data, Apache Airflow or comparable orchestration tools, AWS-to-Azure migration, forecasting or scenario modeling, and familiarity with Go/Golang, OIDC/SAML/RBAC, Cognito, Sigma, or Snowflake-native analytics.

• Professional certifications in Snowflake, dbt, AWS, Azure, or Terraform are advantageous but not mandatory.

• Excellent written and verbal communication skills, sound judgment in operational pressure situations, and the ability to articulate complex technical trade-offs.

🏝️ Benefits

• Diverse and inclusive workplace.

• Pre-employment background check required.

• U.S.-based/onshore role supporting work with regulated and PHI-sensitive healthcare data.