Lead Data Developer

SCA Health · United States · $130k – $150k · posted today ago

engineering remote jobs in united states

Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.

About this role

Overview

At SCA Health, we believe health care is about people – the patients we serve, the physicians we support and the teammates who push us forward. Behind every successful facility, procedure or innovation is a team of 15,000+ professionals working together, learning from each other and living out the mission, vision and values that define our organization.

As part of Optum, SCA Health is redefining specialty care by developing more accessible, patient-centered practice solutions for a network of more than 370 ambulatory surgical centers, over 400 specialty physician practice clinics and numerous labs and surgical hospitals. Our work spans a broad spectrum of services, all designed to support physicians, health systems and employers in delivering efficient, value-based care to patients without compromising quality or autonomy.

What sets SCA Health apart isn’t just what we do, it’s how we do it. Each decision we make is rooted in seven core values:

Clinical quality
Integrity
Service excellence
Teamwork
Accountability
Continuous improvement
Inclusion

Our values aren’t empty words – they inform our attitudes, actions and culture. At SCA Health, your work directly impacts patients, physicians and communities. Here, you’ll find opportunities to build your career alongside a team that values your expertise, invests in your success, and shares a common mission to care for patients, serve physicians and improve health care in America.

At SCA Health, we offer a comprehensive benefits package to support your health, well-being, and financial future. Our offerings include medical, dental, and vision coverage, 401k plan with company match, paid time off, life and disability insurance, and more. Please visit, to learn more about our benefits.

Your ideas should inspire change. If you join our team, they will.

Responsibilities

Lead Data Developer

SCA Health – Information Technology (IT) – Enterprise Application Services – Data Services

Position Summary

The Lead Data Developer is a senior individual contributor (IC) and technical leader responsible for designing, delivering, and evolving enterprise data platforms and solutions that support clinical, operational, and financial outcomes across SCA Health.

This role is not a formal people management position. The individual will act as a technical owner and delivery lead, working in partnership with resource managers to align and coordinate assigned technical resources. The role requires the ability to direct technical work, influence priorities, and drive outcomes across distributed teams (including offshore resources) without formal authority.

The Lead Data Developer operates across a hybrid ecosystem of legacy and cloud-based technologies and plays a critical role in advancing SCA Health’s cloud-first and AI-enabled data strategy.

Key Responsibilities

Technical Ownership & Delivery Execution

Serve as technical owner for assigned initiatives, accountable for architecture, design quality, delivery outcomes, and long-term maintainability

Lead and coordinate design, development, testing, deployment, and support of data solutions

Partner with resource managers to align staffing, skillsets, and priorities to delivery needs

Direct technical execution across assigned team members, ensuring alignment to standards and timelines

Drive delivery with limited information, clarifying requirements and resolving ambiguity proactively

Provide accurate estimates and deliver solutions with high reliability and accountability

Data Architecture & Cloud Transformation

Design and implement scalable hybrid and cloud-first data architectures

Lead or contribute to phased transformation of on-premises data platforms to cloud-based solutions

Partner with Enterprise Architecture to define solution strategies aligned to business and technology roadmaps

Promote reusable engineering patterns and framework-driven development practices

Balance legacy system support with modernization initiatives

Data Engineering & Platform Development

Architect and develop enterprise data pipelines and platforms

Build and maintain solutions using:

Microsoft Azure data ecosystem (ADF, Synapse, Azure SQL, Databricks)

Snowflake, Airflow, dbt

SQL Server (T-SQL, SSIS)

Ensure high standards for performance, scalability, reliability, and observability

Implement monitoring, logging, and operational readiness capabilities

AI/ML Integration & Data Innovation

Design and implement AI/ML-enabled data capabilities within pipelines and data products

Identify and deploy use cases involving automation, predictive analytics, or intelligent workflows

Collaborate with stakeholders to align AI/ML initiatives to measurable business value

Ensure AI-enabled solutions are production-ready, scalable, and maintainable

Governance, Security & Compliance

Ensure compliance with HIPAA and enterprise data security and governance standards

Implement appropriate access controls, encryption, and auditability for PHI/PII data

Participate in governance processes including code reviews, change management, and release management

Utilize ServiceNow for incident, request, and operational management

Collaboration & Stakeholder Engagement

Partner with business stakeholders to understand requirements and prioritize delivery

Collaborate with Enterprise Architects, Product Owners, and cross-functional teams

Facilitate technical design discussions and solution alignment sessions

Communicate technical concepts clearly across both technical and non-technical audiences

Mentorship & Team Enablement

Mentor and guide junior and mid-level data developers

Promote best practices in coding, architecture, and documentation

Support a culture of accountability, collaboration, and continuous improvement

Full Product Lifecycle Participation

Participate across the full lifecycle:

Ideation

Design and development

Deployment and release

Production support and optimization

Decommissioning

Maintain clear, current technical and operational documentation

Ensure solutions are supportable and aligned with long-term platform strategy

Qualifications

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)

8+ years of experience in data engineering, data platform development, or related disciplines

Proven experience serving as a technical lead or technical owner for complex initiatives

Demonstrated ability to lead cross-functional teams without formal authority

Proven experience delivering large-scale data integration and transformation solutions

Demonstrated application of an AI-first mindset, incorporating AI/ML capabilities into data platform design, engineering practices, and solution delivery.