Senior Data Engineer
New
H
Hopscotch Primary CareHealthcare
RemoteFull-TimeSenior
Salary$140,000-170,000 annually
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Job Details
- Experience
- 4+ years of professional experience
- Required Skills
- PythonSnowflakeSoftware ArchitectureData engineeringData modelingdbtDatabricksPySpark
Requirements
- Bachelor’s degree in computer science, engineering, or related field.
- 4+ years of professional experience in data engineering and software architecture shipping production-level code.
- Strong programming skills in Python, Pyspark, or similar languages.
- Experience building and scaling reusable, testable, and maintainable data pipelines.
- Experience designing and optimizing data models, warehouses, and/or lakehouses.
- Familiarity with modern data platforms and cloud ecosystems (e.g., Palantir Foundry, DBT, Databricks, Snowflake, AWS, GCP, or Azure).
- Track record of ensuring data quality, governance, and reliability.
- Ability to balance high-level architecture with tactical execution.
- Proven ability to translate business challenges into actionable engineering solutions.
Responsibilities
- Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics.
- Own the end-to-end lifecycle of data pipelines that enable key business operations, support third-party integrations, and ensure timely, accurate data delivery.
- Implement practices that make our data trustworthy and usable for all stakeholders.
- Monitor and optimize data infrastructure, troubleshoot issues, and drive efficiency through automation.
- Review code and set engineering best practices as a technical leader.
- Design infrastructure for future needs, including AI and advanced analytics.
- Collaborate with product managers, analytics, operations, and care delivery stakeholders to translate business needs into scalable solutions.
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