Analytics Engineer
Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Data Engineer
Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.
150k – 275kNew York, NYData EngineeringHybrid5+ YOE
About the role
Responsibilities
- Build data pipelines and integrations.
- Work with healthcare data and solve interoperability challenges.
- Handle distributed systems coordination and AI pipelines.
- Manage big data technologies and massive datasets.
- Implement CI/CD workflows such as GitHub Actions.
Requirements
- 5+ years of experience in data engineering.
- Passion for the mission and user empathy.
- Radical sense of ownership and ability to refine ambiguous problems.
- Strong technical execution with focus on scalability and user-centric design.
Nice-to-Haves
- Experience working with healthcare data or interoperability challenges.
Compensation
- Base pay: $150,000–$275,000 per year
- Competitive equity
- Comprehensive healthcare benefits
- Unlimited PTO (minimum 10 days)
- Professional development stipends
Skills
PythonSQLDistributed SystemsAi PipelinesBig Data TechnologiesGitHub ActionsCI/CDData PipelinesHealthcare DataDatabase Optimization
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