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Vatica Health

Senior Data Engineer

Remote, United States

$115,000 to $125,000 USD / year

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Job details

Pay: $115,000 to $125,000 USD / year
Experience: 8–10 years of professional experience in data engineering or a related field.
Posting language: English
Posted: Nov 10, 2026

Original job description

Vatica Health and Cozeva bring together clinical expertise and technology to support risk adjustment, quality, and value-based care. Our teams help providers and health plans use clinical information to improve documentation and identify care gaps. About the Role As a Senior Data Engineer, you will design, build, and operate the data pipelines and APIs that support our data-driven and AI-enabled products. You will own how data moves from ingestion through consumption, ensuring it is reliable, secure, and available for the teams and products that depend on it. You will partner with product, analytics, data science, and machine learning teams to translate business needs into scalable production solutions. This hands-on role also includes leading technical reviews, establishing engineering standards, and mentoring other engineers.

Responsibilities

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.

•

Required Qualifications

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 Qualifications

Experience building and operating solutions on AWS.
Experience delivering retrieval-augmented generation (RAG) or agent-based solutions in production.
Knowledge of data governance, cataloging, and lineage tools.
Cloud or data platform certifications.
Healthcare industry experience.
Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.

WORKING AT VATICA HEALTH ADVANTAGES

Prosperity

Competitive salary based on your experience and skills – we believe the top talent deserves the top dollar
Bonus Potential (based on role and is discretionary) – if you go above and beyond, you should be rewarded
401k plans– we want to empower you to prepare for your future
Room for growth and advancement- we love our employees and want to develop within

Good Health

Comprehensive Medical, Dental, and Vision insurance plans
Tax-free Dependent Care Account
Life insurance, short-term, and long-term disability

Happiness

Excellent PTO policy (everyone deserves a vacation now and then)
Great work-life balance environment- We believe family comes first!
Strong supportive teams- There is always a helping hand when you need it

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More about this job

Skills

Machine learning
Coaching
Unstructured data
Data engineering
AWS
Manage data
Scheduling
API development
Python
Flask
Documentation
SQL
Workflow
Process data
Test automation
Data warehousing
Data modelling
Git
CI/CD
Docker
Infrastructure as code
IBM Terraform
Problem solving
Communication skills
Stakeholder management
Cataloging
Computer science

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Work requirements

Jobs in the United States