Senior Data Engineer

SCP Health

. Define and evolve reference architectures and standards for ingestion, transformation, orchestration, and serving layers using Snowflake, dbt, and adjacent tooling .

Posted 11/9/2026full-timeUnited StatesSenior💰 $86,539 - $128,101 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data architectures using Snowflake and dbt, with a strong focus on HIPAA compliance and operational excellence in data pipelines. Proven ability to lead technical initiatives, mentor teams, and establish data governance standards across healthcare domains.

Highest-signal resume keywords

Snowflake ArchitectureDbt Project OrganizationData Quality StandardsHIPAA ComplianceTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL Workload OptimizationData Integration PatternsCanonical Data ModelsIncident ResponseData Pipeline DevelopmentPerformance OptimizationData Testing and ReconciliationError Budget DefinitionMonitoring and AlertingData Governance

Soft Skills

Clear CommunicationInfluencing Without AuthorityMentoringCollaborationProblem-Solving

Tools & Technologies

SnowflakeDbtEHR SystemsAPIsHL7FHIRJSONParquetCI/CD PracticesAgile/Scrum

Certifications & Qualifications

SnowPro Advanced: Data EngineerSnowPro Core CertificationDbt Analytics Engineering CertificationHIPAA Security/Privacy Training

Industry Keywords

HealthcareRevenue CyclePHIPIIData GovernanceData EngineeringAnalytics EngineeringOperational ExcellenceData ProductsMulti-Facility Integrations

Tech Stack

Tools & technologies

SnowflakeSQL

About the role

Key responsibilities & impact

Define and evolve reference architectures and standards for ingestion, transformation, orchestration, and serving layers using Snowflake, dbt, and adjacent tooling
Lead design reviews and establish guardrails for scalable, secure, observable, and maintainable solutions
Own end-to-end delivery and operational excellence for critical datasets and pipelines supporting revenue cycle, physician scheduling, billing, and performance monitoring
Define SLAs/SLOs, error budgets, and support models
Lead complex, multi-facility integrations including EHR extracts, HL7, FHIR, APIs, and flat files
Establish repeatable facility onboarding playbooks and reusable integration patterns
Enforce platform-wide Bronze/Silver/Gold medallion lifecycle conventions, governance, documentation, lineage, and certification
Lead major-incident triage, cross-team resolution, blameless post-incident reviews, and systemic fixes
Lead Snowflake performance and cost optimization initiatives
Architect and implement HIPAA-aligned controls for PHI/PII and partner with Security/Compliance on audits and remediation
Define and operationalize data quality, testing, reconciliation, anomaly detection, freshness, completeness, and observability standards
Lead technical discovery with stakeholders and align requirements, acceptance criteria, change impacts, and rollout plans
Mentor Data Engineers I–III through coaching, pairing, reviews, and feedback
Improve data CI/CD and release practices, including testing gates, automated checks, environment promotion, rollback planning, and release strategy
Partner with the Data Engineering Manager and stakeholders on the technical roadmap, systemic risks, dependencies, and platform investments

Requirements

What you’ll need

Expert-level ability to design, optimize, and troubleshoot complex SQL workloads
Deep expertise with Snowflake architecture and operations
Advanced proficiency with dbt project organization, macros, testing, documentation, incremental modeling, and environment promotion
Ability to define canonical data models and data products across domains
Experience defining SLAs/SLOs, monitoring, alerting, runbooks, incident response, and postmortems
Advanced knowledge of batch and near-real-time integration patterns, APIs, authentication, JSON, and Parquet
HIPAA-aligned design for PHI/PII, least-privilege access, masking, row/column policies, auditability, and secure sharing
Ability to lead discovery and design reviews and influence without authority
Ability to articulate multi-quarter technical plans and evaluate build-versus-buy tradeoffs
Clear communication with technical and non-technical partners
Bachelor’s degree in MIS, Computer Science, or a related field; or equivalent combination of education and experience
8+ years of progressive professional experience in Data Engineering, Analytics Engineering, or a related technical role
4+ years of hands-on experience with the Snowflake ecosystem
Experience with production data pipelines and data products across multiple domains
Experience in Healthcare, Revenue Cycle, and/or integrating clinical data feeds strongly preferred
Experience with PHI/PII and regulated data expected
Experience in an Agile/Scrum environment
Experience providing technical leadership across initiatives and mentoring engineers
HIPAA Security/Privacy training required
SnowPro Advanced: Data Engineer or SnowPro Core Certification preferred
dbt Analytics Engineering Certification preferred

Benefits

Comp & perks

Strong track record of providing excellent work/life balance
Comprehensive benefits package and competitive compensation
Inclusive culture of belonging and empowerment
Medical, dental, and vision insurance
401(k) plan with a company match
Paid time off and holidays
Professional development support
Employee wellness resources