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AcuityMD · 1 day ago

Director of Data Engineering

United States

Full-time

Remote

Director/Executive

$250K/yr - $300K/yr

10+ years exp

AcuityMD is a software and data platform that accelerates access to medical technologies. As Director of Data Engineering, you will shape the systems that define how we understand healthcare at scale, leading the design and evolution of our core data platform to improve patient care.

Health CareInformation TechnologyMedical DevicemHealth

No H1B

Responsibilities

Set and own the technical and organizational north star for data engineering at AcuityMD—defining how we build the world’s most accurate and actionable model of healthcare reality

Lead the design, implementation, and evolution of our core data platform, powering every aspect of our product and agentic experiences—from analytics and workflows to AI-driven insights

Translate company and product strategy into clear data investments, and clearly articulate the customer value of those investments to engineering, product, and leadership partners

Go deep when it matters: drive architectural decisions, review critical designs, debug hard problems, and coach the team through complex technical tradeoffs

Build data systems that are constantly improving, reliable, and trusted—supporting massive scale, complex healthcare data, and customer-facing use cases where correctness truly matters

Partner closely with product, data science, and engineering leaders to ensure tight feedback loops between data generation, modeling, and real-world customer outcomes

Lead, mentor, and grow a high-impact team of data engineers, data scientists, and domain experts, setting a high bar for methodological and technical rigor, ownership, and velocity

Establish strong—but pragmatic—standards for data quality, testing, observability, lineage, and governance, without slowing the team down

Shape the culture of the data organization: how we plan, how we ship, how we review work, and how we learn from mistakes

Stay close to the evolving state of modern data engineering and analytics engineering, bringing in new ideas when they meaningfully raise our ceiling

Qualification

Data engineeringPythonSQLTechnical leadershipCloud data warehousesData qualityData platformsTeam designProduct strategySystems thinkingMentoringCommunication

Required

10+ years of professional experience in data engineering, data platforms, or closely related software engineering roles, including significant technical leadership experience

You're as comfortable discussing schemas, query performance, and orchestration as you are discussing product strategy, customer impact, and team design

You are deeply hands-on and have designed, built, and operated production data systems that matter—pipelines, transformations, analytical models, and platforms that real users rely on

You're fluent in Python and SQL, and have extensive experience working with modern cloud data warehouses, especially BigQuery

You have strong product instincts and enjoy working directly with product managers and data scientists to shape what gets built and why

You've led teams before and genuinely enjoy coaching, mentoring, and raising the bar for others

You think in systems: architecture, incentives, workflows, and failure modes—not just individual pipelines or tools

You communicate clearly and directly, can explain complex tradeoffs without hand-waving, and bring people along with you

You thrive in fast-moving, ambiguous environments and are excited by building foundational systems from an early stage

You care deeply about data quality, correctness, and trust—especially when data drives high-stakes decisions

You love working on a low-ego, high-ownership team building products that materially change how an industry operates

You have a BA/BS or MA/MS in Computer Science, Engineering, Mathematics, or a related field—or equivalent practical experience

You must have an eligible work permit in the USA to be considered for this position

Preferred

Deep experience with our stack: Python and SQL on GCP, with heavy BigQuery usage, plus tools like dbt, Dagster, Docker, and Kubernetes

Experience building data platforms that directly power customer-facing products and AI or agentic workflows

A background that spans data engineering and data science or ML-adjacent systems

Strong opinions about modern data architectures, analytics engineering, and the evolving role of data teams, backed by deep experience, that you're constantly seeking to invalidate and refine

You've earned real scars from pipelines breaking, data being wrong, or systems buckling under scale—and you've used those lessons to build calmer, more resilient platforms

Benefits

Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.

Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.

Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.

Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.

Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.

Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.

Parental Leave: 6-12 weeks of fully-paid, flexible parental leave.