Data Engineer V - US

Ladders; United States; Remote; USD 166,000 - 243,000; Full time

Benefits offered by this job

Comprehensive health programs

Employee Stock Purchase Plan (ESPP)

Incentive compensation opportunities,

Job summary

Ladders is seeking a Data Engineer V to join as a remote US-based leader in IT. The role focuses on cloud-based data architecture, pipeline reliability, and data quality across complex environments.

The candidate will mentor a team, drive Agile execution, define governance practices, and contribute to AI-enabled data patterns including LLM/RAG strategies in a scalable data platform.

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.

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.

Skills

Data leadership

Cloud architecture

Agile delivery

Team mentorship

SLA/SLO management

Education

Bachelor's degree in CS or related

Tools

Git

CI/CD

AI tooling

Job description

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.