Senior Data Engineer

Vatica Health Open

Remote United States Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Vatica Health. Remote, United States · full-time · no salary stated · we estimate $142,375–$192,500 across the United States.

Estimated pay

Vatica Health has not published a salary for this role. The figure below is our estimate, not theirs.

$142,375 – $192,500

What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.

Worked out from 544 postings that stated pay, median $162,500. Last updated Nov 13, 2026.

RoleData Engineering

SenioritySenior

LocationUnited States

WorkplaceRemote

EmploymentFull-time

PostedNov 10, 2026

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Build batch and streaming pipelines that bring structured and unstructured data from databases, APIs, event streams and files into use
Tune ETL and ELT workflows for cost, speed, scale and dependable operation
Run AWS-based data services and develop secure REST APIs with access controls, validation, versioning and documentation
Prepare feature, training and inference datasets for machine learning, and use LLM APIs for document workflows
Set engineering standards through reviews, monitoring and data quality checks, while mentoring other engineers

What you bring

Eight to ten years working in data engineering or a related discipline
Strong Python and advanced SQL, plus experience delivering large-scale production data pipelines
Practical experience with an orchestration tool and frameworks for processing large datasets
Experience putting production REST APIs into use, including integrations, security and automated testing

Who this fits

This senior, hands-on role suits someone ready to lead technical reviews, mentor engineers and turn business needs into production data systems. You’ll work remotely in the United States with product, analytics, data science and machine learning teams.

From the employer

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.

Requirements

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.

Benefits

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