Cylinder

Personalized, clinician-backed care for the full spectrum of digestive issues.

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

6 days ago

Salary

$140K - $150K / year

Bachelor Degree5 yrs expEnglishAirflowAWSAzureBig QueryCloudGoogle Cloud PlatformPythonSQL

Job Description

• Architect and design scalable, fault-tolerant data pipelines for complex healthcare data ingestion, transformation, and reporting • Lead technical decision-making for data infrastructure and tooling selection • Mentor junior engineers and establish engineering best practices across the team • Drive cross-functional collaboration with Data Science, Business Intelligence, and Product teams • Champion data quality initiatives and establish robust monitoring and alerting systems • Design and implement solutions for complex distributed system challenges • Evaluate and implement emerging technologies to maintain our competitive edge • Design and implement enterprise-grade data architectures with emphasis on scalability, reliability, and maintainability • Lead code reviews and establish coding standards that promote excellence across the engineering organization • Drive strategic partnerships with product stakeholders, translating complex business requirements into elegant technical solutions • Own end-to-end delivery of critical data infrastructure projects • Establish comprehensive testing strategies, documentation standards, and operational procedures • Continuously evaluate and optimize system performance, cost efficiency, and reliability • Serve as subject matter expert for healthcare data compliance and security requirements.

Job Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience
  • 5+ years of demonstrated experience architecting and building production data pipelines and MLOps environments
  • Expert-level proficiency in SQL and Python with demonstrated experience in performance optimization
  • Deep expertise with modern data stack technologies including dbt, Airflow, BigQuery, and cloud-native solutions
  • Extensive experience with major cloud platforms (AWS, GCP, or Azure) including infrastructure-as-code practices
  • Proven track record working with healthcare, medical, or population health data
  • Outstanding communication and leadership skills with experience mentoring engineering teams
  • Experience establishing data governance and compliance frameworks in regulated industries.

Benefits

  • Offers Equity

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