Fractal

Fractal

Senior Data Engineer

California · Senior · Full-time

Sponsorship not specified$90k-$115kDetected 4 days ago
GitSQLBigQuerySnowflakeDatabricksGCPAzureTerraformCI/CDDevOpsAirflowdbtData AnalysisData EngineeringComplianceUnityHIPAAHL7/FHIREHR/EMRLeadershipCommunicationMentoring

About the role

  • This role demands deep expertise in Databricks, data pipeline architecture, and hands-on leadership in engineering teams.

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 requirements and translate them into technical solutions.
  • Drive hands-on coordination of engineering tasks, ensuring timely delivery and quality standards.
  • Implement and maintain data governance, lineage, and security using tools like Unity Catalog, Terraform, and GitLab CI/CD.

Requirements

  • Excellent communication and leadership skills, with a track record of mentoring and team coordination.
  • All applications must be made through posted job openings
  • Required Skills & Experience:

Nice to have

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Certifications in Databricks, Snowflake, or GCP.
  • Experience with orchestration tools like Airflow, dbt, or Cloud Composer.
  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets
  • experience and training
  • licensure and certifications
  • and other business and organizational needs.
  • At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

Skills

  • 12+ years of experience in data engineering, with a strong focus on cloud-native data pipelines.
  • Expert-level proficiency in Databricks, PySpark, SQL, and data orchestration.
  • Proven experience with Snowflake, BigQuery, and healthcare data formats (FHIR, HL7, claims, EMR).
  • Strong understanding of Azure and GCP cloud services including Data Factory, Synapse, Cloud Composer, and Google Cloud Storage.
  • Hands-on experience with CI/CD, DevOps for data, and infrastructure-as-code.

Compensation

  • The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
  • At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
  • A reasonable estimate of the current range is: $90,000 - $115,000.

Benefits

  • You will be eligible for benefits on 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 time needed for either sick time or vacation.
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This listing is sourced directly from Fractal's careers page and normalized into a canonical job model.