Data Engineering Manager

Jobgether

12h • $200,000 - $220,000 • Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Manager in United States.
This role is ideal for an experienced leader in data engineering who will manage and scale a high-performing team responsible for healthcare data integration and operationalization. You will oversee ELT pipelines, ensure high data quality, and optimize client onboarding processes. The position requires strong technical expertise across SQL, Python, dbt, Airflow, and cloud platforms, along with the ability to mentor engineers, set clear objectives, and collaborate cross-functionally with Product, Clinical, Data Science, and Engineering teams. You will have a direct impact on improving operational efficiency, driving measurable outcomes, and ensuring reliable, cost-effective data solutions for clients. This is a remote, high-impact role that balances hands-on technical contribution with strategic leadership.

Requirements

• 7+ years of experience in data engineering, including leadership and management of engineers, hiring, mentoring, and delivering results.
• Strong experience with healthcare datasets, including EHR, clinical, and claims data, and familiarity with HL7/FHIR interoperability standards.
• Expertise in SQL, data modeling, ELT pipelines, and modern data engineering tools (dbt, Airflow, Snowflake, Python).
• Operational excellence mindset, integrating SLOs/SLAs, incident management, root-cause analysis, and preventive improvements.
• Proven ability to accelerate client data onboarding through automation, standardization, and repeatable integration patterns.
• Excellent communication, stakeholder management, and cross-functional collaboration skills.
• Willingness to contribute hands-on to unblock the team when necessary.

Nice To Haves

• Experience at scale-ups or rapid-growth technology companies is a plus.
• Certifications in Snowflake, AWS, dbt, or healthcare data (CHDA/RHIA) are desirable.

Responsibilities

• Lead, coach, and develop a team of data and analytics engineers, fostering a culture of technical excellence, delivery velocity, and collaboration.
• Oversee client data pipelines and integrations using modern tools (dbt, Airflow, Snowflake, AWS, Python) to ensure operational reliability and resilience.
• Establish and enforce SLOs/SLAs, monitor critical paths, and drive incident reduction through proactive monitoring, alerting, and post-incident reviews.
• Implement data quality frameworks including schema validation, nullability, referential integrity, reconciliation, and lineage observability.
• Drive automation, reusable patterns, and runbooks to accelerate client onboarding and integration delivery.
• Collaborate cross-functionally to prioritize roadmaps, deliver measurable outcomes, and manage trade-offs effectively.
• Manage high-volume client integration requests, triage and prioritize tickets, and communicate resolution timelines.
• Own operational rhythms including ticket review, resource allocation, escalation management, and stakeholder updates.
• Track and report on operational metrics to identify bottlenecks and improve team performance and client outcomes.

Benefits

• Competitive base salary: $200,000–$220,000 USD.
• Comprehensive Medical, Dental & Vision coverage with up to 75% of premiums covered.
• Generous paid parental leave up to 12 weeks.
• Remote-first work environment within the United States.
• Unlimited PTO and 10 holidays annually.
• 401(k) with Traditional & Roth options, including 4% company match.
• Fast-paced, low-bureaucracy environment for high-impact contributions.
• Collaborative, mission-driven, and supportive team culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed