Remote Health Data Engineering Lead

Ladders; United States; Remote; USD 130,000 - 216,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Sick Time & Holidays

Parental Leave

401(k) Retirement Plan

Tuition Reimbursement

Emergency Back-Up Childcare

Mobility Stipend

Job summary

Ladders, a leader in business services, is seeking a Health Data Engineering Lead to drive technical delivery for healthcare data and analytics initiatives. This remote role partners with stakeholders to translate business needs into scalable data solutions and to improve ingestion, integration, and data quality across complex environments.

You will manage execution, risk, and workplans, and guide the development of robust data pipelines while collaborating with clients to resolve technical

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• 5+ years in healthcare data engineering.
• Experience translating business needs into technical solutions.
• Strong communication for client interaction.
• Experience with healthcare data and analytics.

Responsibilities

• Lead technical delivery for healthcare data and analytics projects.
• Manage workplans, priorities, and risks to ensure project alignment.
• Translate business requirements into actionable technical solutions.
• Oversee data ingestion, mapping, and integration from multiple sources.
• Guide the development of scalable data pipelines using modern practices.
• Collaborate with stakeholders to resolve data quality and technical issues.
• Identify opportunities for process improvement in data engineering.

Skills

Data engineering

Project management

Communication

Problem solving

Education

Bachelor's degree

Job description

Ladders, a leader in business services, is seeking a Health Data Engineering Lead to drive technical delivery for healthcare data and analytics initiatives. This remote role partners with stakeholders to translate business needs into scalable data solutions and to improve ingestion, integration, and data quality across complex environments.

You will manage execution, risk, and workplans, and guide the development of robust data pipelines while collaborating with clients to resolve technical