pivotal-health - Senior Software Engineer, Data Engineering
Requirements
• 8+ years of experience building production data pipelines and warehouse solutions. • Deep expertise in SQL and modern data transformation frameworks and Python. • Experience working with large-scale analytical databases and cloud data platforms. • Strong understanding of data modeling, ETL/ELT design, and data lifecycle management. • Experience supporting business-critical reporting or analytical workloads. • Proven ability to improve data reliability and operational maturity. • Comfortable navigating ambiguity and helping define solutions where requirements are still emerging. • Strong ownership mindset with a focus on building durable systems rather than one-off solutions. • Experience working with healthcare data, claims data, or clinical records. • Familiarity with healthcare interoperability standards such as FHIR or HL7. • Experience supporting machine learning or LLM-enabled data workflows. • This position is not eligible for employer-sponsored work authorization. Applicants must be legally authorized to work in the United States on a permanent basis without the need for current or future visa sponsorship.*
Responsibilities
• Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization. • Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation. • Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance. • Ensure data quality and trust. Implement validation, reconciliation, monitoring, and alerting processes across critical datasets. • Support clinical data integration initiatives. Help incorporate new clinical data sources into the warehouse ecosystem. • Optimize warehouse performance. Improve query efficiency, storage utilization, and processing costs as data volumes grow. • Partner with stakeholders on data requirements. Translate business questions into durable data solutions and trusted datasets. • Improve operational excellence. Develop tooling and processes that increase reliability and reduce manual intervention. • Mentor data engineers and analysts. Share best practices and elevate technical standards across the data organization.
Benefits
• $170K – $200K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • If helpful, feel free to share how to pronounce your name. • We’ll only use this to contact you about your application. • Your resume gives us context on your experience. Feel free to include links to LinkedIn, GitHub, or anything you’re proud of. • or drag and drop here • We ask this to understand time zone alignment, work authorization, and any role-specific location needs. Remote and hybrid expectations vary by role and are shared in the job description. • This helps us understand work authorization requirements. We do not use this information to evaluate qualifications for the role. • We ask this to understand your general expectations; it’s not a commitment or final offer. Compensation is based on role scope, experience, and location. • This helps us understand how candidates find us. • Event/Confernece • Feel free to share a portfolio, GitHub, or anything else that helps tell your story. • I prefer not to answer • Another Gender Identity • Heterosexual / straight • Asian or Asian American • Black or African American • Hispanic or Latine • Indigenous or Native American • Native Hawaiian or Other Pacific Islander • Person with disability • Refugee or immigrant • None of the above
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