Data Engineering Manager

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🔥 0 minutes ago

🔔 Pennsylvania, Georgia – Remote

🔔 Pennsylvania – Remote 🍑 Georgia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 10%

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• Just posted.
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Trella Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Trella Health is a healthcare data analytics company that provides services to over 30,000 users nationwide, including top home health agencies, hospice providers, and skilled nursing facilities. Their platform integrates market data with a CRM solution to offer insights that improve sales execution and performance visibility in the post-acute care industry. By leveraging EHR and API integrations, Trella Health enables real-time referral tracking and helps healthcare organizations optimize their growth strategies. Their solutions include market insights, customer relationship management, and strategic consulting services, specifically designed for home health, hospice, skilled nursing, and other healthcare markets.

📋 Description

• 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

• 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

• 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

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