Senior Data Engineer

Vatica Health

. Design, build, and maintain batch and streaming pipelines for structured and unstructured data from databases, APIs, event streams, and files .

Posted 11/10/2026full-timeRemote • United StatesSenior💰 $115,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining data pipelines, optimizing ETL/ELT processes, and implementing secure REST APIs. Proficient in leveraging AWS services and integrating AI tools for data workflows while ensuring compliance and data quality.

Highest-signal resume keywords

Python ProgrammingAdvanced SQL SkillsAWS Cloud SolutionsData Pipeline DevelopmentREST API Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ETL/ELT ProcessesData Workflow ManagementData WarehousingMachine Learning WorkflowsBig Data Processing FrameworksAPI AuthenticationData Quality ChecksInfrastructure as CodeGitCI/CD

Soft Skills

Problem-SolvingCommunicationStakeholder Management

Tools & Technologies

AWS EC2AWS LambdaDockerTerraformFastAPIFlaskSQSEvent StreamsWorkflow Orchestration PlatformsVector Databases

Certifications & Qualifications

Cloud CertificationsData Platform Certifications

Industry Keywords

Healthcare Industry ExperienceData GovernanceData CatalogingData LineageLakehouse Architecture

Tech Stack

Tools & technologies

AWSCloudDockerEC2ETLFlaskPythonSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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