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Data Engineering Manager
Trella Health. Lead and scale a high-performing data engineering team through hands-on technical leadership, mentorship, and the establishment of best practices .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and optimizing cloud-native data platforms, with a strong focus on data governance, security, and compliance in healthcare environments. Proven ability to lead and mentor data engineering teams while implementing scalable data pipelines and advanced analytics solutions.
Highest-signal resume keywords
Data Engineering LeadershipCloud-Based Data PlatformsPython ProficiencyData Governance StandardsHealthcare Data Interoperability
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignETL/ELT FrameworksData ModelingDatabase DesignData Warehousing ConceptsData Lineage ImplementationBatch ProcessingStreaming ServicesAPIs DevelopmentData Quality Principles
Soft Skills
MentorshipCollaborationCoachingCommunicationProblem-Solving
Tools & Technologies
DatabricksSnowflakeAWS ServicesCI/CD PracticesInfrastructure-as-CodeDbtSQLMeshS3GlueLambda
Certifications & Qualifications
HIPAA ComplianceSOC 2 Certification
Industry Keywords
Healthcare Data ManagementEHRMedical ClaimsRx ClaimsCCLFBCDAData SecurityData GovernanceChange ManagementInteroperability Standards
Tech Stack
Tools & technologiesAWSCloudETLPythonSnowflakeSQL
About the role
Key responsibilities & impact- Lead and scale a high-performing data engineering team through hands-on technical leadership, mentorship, and the establishment of best practices
- Architect, build, and evolve a centralized, cloud-native data platform supporting diverse healthcare datasets, including medical and Rx claims, EHR, CCLF, and BCDA data sources
- Design, implement, and operate scalable data pipelines for ingestion, transformation, and normalization supporting analytics, machine learning, and GenAI use cases
- Implement batch processing, streaming services, and FHIR-based APIs to ingest data into the data lake
- Optimize data platforms and pipelines for performance, reliability, scalability, and cost efficiency
- Lead data governance standards, access controls, and encryption to meet HIPAA and SOC 2 compliance and certification requirements
- Develop and maintain documentation covering data platform architecture, ETL/ELT processes, data lineage, and metadata
- Partner with data science, QA, software engineering, product, and business stakeholders to deliver trusted, timely, high-quality data assets
- Collaborate with DevOps on automated, scalable deployment using CI/CD and infrastructure-as-code practices
- Stay current with data engineering, healthcare data management, and advanced analytics trends to improve the platform and team
- Report to the CTO
Requirements
What you’ll need- 8+ years of experience in data engineering, with demonstrated success coaching and developing technical talent and leading the design, delivery, and operation of cloud-based data platforms in production environments
- Deep proficiency in Python, SQL, and modern ETL/ELT frameworks for building reliable, production-grade data workflows
- Hands-on experience with Databricks, Snowflake, and AWS services (e.g., S3, Glue, Lambda, EMR), along with modern data platform technologies and transformation tools such as dbt or SQLMesh
- Strong ability to design scalable, modular codebases that promote maintainability, reuse, testing, and cross-team collaboration
- Experience implementing and leveraging data lineage to understand dependencies, assess upstream and downstream impact, and support governance and change management
- Solid understanding of data governance, data quality, and data security principles, including their application in regulated environments
- Proficiency in data modeling, database design, and data warehousing concepts for analytical and operational use cases
- Ability to partner effectively with DevOps to define and align on deployment standards, environment management, and operational best practices for data platforms and pipelines
- Working knowledge of healthcare data interoperability standards and APIs
Benefits
Comp & perks- Health, dental, vision, and voluntary benefits
- Competitive salary, incentive compensation, and equity shares
- 401(k) retirement savings
- Flexible PTO and 10 paid holidays
- Flexible work hours
- Paid leave programs
- Marketplace for discounted retail and entertainment