Data Engineer V - US

For our client, we are seeking a Data Engineer V - US to join the team of a leader in the Information Technology space.

This role will lead a senior data engineering function focused on cloud-based data architecture, pipeline reliability, and data quality across complex technical environments.

The position partners closely with engineering, business, and clinical stakeholders to translate needs into scalable data solutions, while driving Agile execution, team leadership, and operational standards.

You will also help shape metrics, documentation, and governance practices that support dependable delivery, including emerging AI-enabled and large language model data patterns.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $165,830 – $243,141 annually

Responsibilities

• Lead and mentor a team of engineers, ensuring Agile delivery and workload prioritization
• Own source management, version control, and QA/testing standards, including AI-assisted contributions
• Define and track team metrics strategy, managing SLA/SLO for pipelines and addressing missed KPIs
• Analyze and report on KPIs such as pipeline uptime and data quality metrics to leadership
• Conduct root-cause analysis for complex pipeline and data quality issues
• Serve as the primary technical liaison to business and clinical stakeholders, translating needs into actionable plans
• Contribute to budget considerations for cloud and AI/vector-database usage
• Maintain documentation, SOPs, and escalation pathways for the team

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent hands-on experience
• 8-12 years of technology experience with a focus on data leadership
• 6-8 years of hands-on experience architecting data solutions on cloud platforms
• 2+ years of formal leadership experience in engineering or technical workstreams
• Preferred: Cloud Professional Data Engineer or ML Engineer certification
• Preferred: Experience with healthcare data compliance frameworks (HIPAA, HL7, FHIR)
• Preferred: Experience in setting standards for LLM/RAG data architecture at scale

Benefits

• Comprehensive health and wellness programs
• Employee Stock Purchase Plan (ESPP)
• Incentive compensation opportunities, including annual bonuses and equity awards

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.