Jobs / Fra***

Senior Data Engineer

Fra*** · CA, United States
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CA, United States90,000-115,000 USD/yearlyOnsite
Remuneration
90,000-115,000 USD/yearly
Location
CA, United States
Visa sponsorship
Sponsors visa

Job summary

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Senior Data Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.

Benefits

You will be eligible forOn the first day of employment with the Company.The Company provides for 11 paid holidays and 12 weeks of Parental Leave.We also follow a “free time” PTO policy, allowing you the flexibility to take tiIf you like wild growth and working with happy, enthusiastic over-achievers, youHIRING RELATED QUERIESIndia: HiringsupportIndia@fractal.aiOutside India: HiringsupportROW@fractal.aiThis inbox does not process resume submissions.All applications must be made through posted job openingsNot the right fit?

Qualifications

  • We are seeking a highly skilled and proactive Senior Data Engineer with 12+ years of experience in designing and building scalable data solutions across cloud platforms.
  • and translate them into technical solutions.
  • Perform advanced data analysis on healthcare datasets (claims, EMR, HL7, FHIR) to support strategic decision-making.
  • Drive hands-on coordination of engineering tasks, ensuring timely delivery and quality standards.
  • Mentor and guide junior data engineers, fostering best practices in coding, testing, and documentation.
  • Implement and maintain data governance, lineage, and security using
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Certifications in Databricks, Snowflake, or GCP.
  • Experience with orchestration

Responsibilities

  • Lead the design, development, and optimization of data pipelines using Databricks (PySpark, SQL) across Azure and GCP environments.
  • Architect and manage Snowflake and BigQuery data warehouse solutions for performance, scalability, and cost-efficiency.
  • Collaborate closely with stakeholders to understand data

Skills

CommunicationElectronic Health RecordsLeadership

Degrees

AssociateDegree

Industry

AutomotiveEnergyHealthcareInsuranceLogisticsManufacturingPublic-sector

Company size

EnterpriseSmb