Senior Data Engineer

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🔥 1 minute ago

🇺🇸 United States – Remote

💵 $115k - $125k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Vatica Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 $1.2M Venture Round on 2013-11

Healthcare • Healthcare Insurance • SaaS

Vatica Health is a healthcare company that offers advanced solutions for risk adjustment and quality of care. By combining expert clinical teams with cutting-edge technology, Vatica Health improves financial performance for health plans and providers by capturing accurate diagnosis codes and reducing audit risks. The company's model enhances provider utilization of preventive services and patient engagement, while also supporting quality programs at the time of patient visits. With seamless integration into provider workflows, Vatica Health focuses on increasing coding accuracy, compliance, and efficiency, ultimately benefiting health plans, providers, and patients. Their EMR-agnostic technology and on-site clinical consultants ensure improved care delivery and wellness outcomes, particularly through services like Annual Wellness Visits.

📋 Description

• Design, build, and maintain batch and streaming pipelines for structured and unstructured data from databases, APIs, event streams, and files • Develop ETL/ELT processes and optimize performance, cost, scalability, and reliability • Build and operate cloud solutions using AWS services such as EC2, ECS, Lambda, API Gateway, and SQS • Develop and manage data workflows, including scheduling, dependencies, retries, alerts, and backfills • Establish monitoring, logging, and observability to identify issues and support reliable production operations • Design, develop, test, and maintain secure REST APIs and Python-based data services using frameworks such as FastAPI or Flask • Implement API authentication, authorization, validation, versioning, error handling, rate limiting, and documentation • Build data foundations for machine learning and generative AI, including feature pipelines, training and inference datasets, embeddings, and retrieval-based solutions • Integrate AI tools and large language model (LLM) APIs into workflows for document processing, enrichment, classification, and summarization • Implement data quality checks, validation, lineage, and documentation, applying security, privacy, and compliance standards • Lead architecture and code reviews, mentor engineers, and communicate technical recommendations to business and technical stakeholders

🎯 Requirements

• 8–10 years of professional experience in data engineering or a related field • Strong Python and advanced SQL skills, with experience delivering production data pipelines at scale • Hands-on experience with at least one workflow orchestration platform and big data processing frameworks • Experience developing and deploying production REST APIs, including integration, security, and automated testing • Experience with cloud platforms and data services • Understanding of data warehousing, lakehouse architecture, and data modeling • Working knowledge of AI and machine learning workflows, LLM APIs, embeddings, and vector databases • Experience with Git, CI/CD, Docker, and infrastructure as code tools such as Terraform • Strong problem-solving, communication, and stakeholder management skills • Preferred: Experience building and operating solutions on AWS • Preferred: Experience delivering retrieval-augmented generation (RAG) or agent-based solutions in production • Preferred: Knowledge of data governance, cataloging, and lineage tools • Preferred: Cloud or data platform certifications • Preferred: Healthcare industry experience • Preferred: Bachelor’s or master’s degree in Computer Science, Engineering, or a related field

🏖️ Benefits

• Competitive salary based on your experience and skills • Bonus Potential (based on role and is discretionary) • 401k plans • Room for growth and advancement • Comprehensive Medical, Dental, and Vision insurance plans • Tax-free Dependent Care Account • Life insurance, short-term, and long-term disability • Excellent PTO policy • Great work-life balance environment • Strong supportive teams

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