Staff Data Engineer
F
FoodsmartHealthtech
Remote (US)Full-TimeStaff
Salary$180,000 - $215,000 a year
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Job Details
- Experience
- 10+ years
- Required Skills
- Node.jsPythonSQLApache AirflowJavaSnowflakeTypeScriptScalaData modeling
Requirements
- 10+ years of professional experience in data engineering with a track record of driving large-scale, org-wide platform initiatives.
- Proven experience functioning at a staff or principal level with influence beyond a single team.
- Deep expertise in modern cloud data warehouses such as Snowflake, Redshift, or BigQuery.
- Advanced SQL skills and experience with relational, columnar, and NoSQL database systems.
- Expert-level proficiency in data pipeline and workflow orchestration tools like Apache Airflow or Dagster.
- Strong programming background in Python, Scala, or Java for data processing and platform tooling.
- Experience in backend development with proficiency in TypeScript, Java, Python, Node.js, and PostgreSQL or MySQL.
- Deep experience designing data models and schemas, including dimensional modeling and data mesh or data lakehouse patterns.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred).
- Familiarity with healthcare data standards like FHIR or HL7 is strongly preferred.
Responsibilities
- Define and own the strategic architecture of the data platform, setting the technical direction for scalable, reliable, and governed infrastructure.
- Lead the design and implementation of next-generation data pipelines, data models, and platform capabilities that support advanced analytics and machine learning at scale.
- Establish and champion company-wide standards for data quality, governance, security, and compliance, including automated frameworks for validation, enrichment, and lineage tracking.
- Act as a cross-functional technical leader, partnering with engineering, product, data science, and business stakeholders to align data platform capabilities with organizational goals.
- Identify systemic bottlenecks and drive platform-wide improvements in performance, reliability, and developer productivity.
- Mentor senior and junior engineers, influence hiring decisions, and contribute to broader engineering culture through design reviews and documentation.
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