Principal Data Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Principal Data Engineer will lead the architecture, development, and optimization of advanced data platforms while ensuring scalability, reliability, and alignment with business objectives. Key responsibilities include:

• Design and implement end-to-end data architectures, frameworks, and pipelines supporting large-scale ingestion, processing, transformation, reporting, and analytics.
• Build and optimize ETL/ELT workflows, distributed data processing systems, and data models to support business intelligence and advanced analytics.
• Develop cloud-native data solutions using technologies such as Python, SQL, dbt, AWS Glue, DMS, Airflow, Docker/Kubernetes, Snowflake, and related platforms.
• Establish engineering best practices around data quality, governance, lineage, security, privacy, performance, and reliability.
• Create and maintain monitoring, alerting, observability frameworks, and service-level objectives for critical data systems.
• Identify and resolve performance challenges while improving scalability and cost efficiency across data platforms.
• Provide technical leadership, mentorship, and guidance to data engineers and engineering teams.
• Drive architectural decisions, evaluate emerging technologies, and lead complex technical problem-solving initiatives.
• Promote engineering excellence through CI/CD practices, infrastructure as code, automated testing, security standards, and responsible adoption of AI-powered development tools.
• Partner with software engineers, product managers, quality teams, customer success teams, and business stakeholders to define data requirements and deliver high-impact solutions.
• Support the development of analytics, machine learning, and AI-driven capabilities through robust data infrastructure.

Requirements:

The ideal candidate brings extensive experience designing modern data platforms, leading technical initiatives, and collaborating across multidisciplinary teams. Required qualifications include:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field preferred.
• 8+ years of combined software engineering and data engineering experience focused on distributed data processing and data-intensive applications.
• 5+ years of experience designing, implementing, and maintaining reporting and analytics solutions using platforms such as Looker, Power BI, or Tableau.
• Strong expertise in Python, SQL, database optimization, data pipelines, data modeling, governance, cataloging, lineage management, and security practices.
• Deep experience with cloud platforms such as AWS, Azure, or GCP and modern data warehouse technologies including Snowflake, BigQuery, or Redshift.
• Proven ability to lead large-scale data initiatives and influence architecture decisions across technical teams.
• Strong understanding of data visualization principles and analytics best practices.
• Experience working in highly regulated industries, with healthcare or homecare technology experience preferred.
• Familiarity with healthcare data ecosystems such as EHR, HL7, or FHIR is a plus.
• Experience designing data platforms supporting machine learning and AI workflows.
• Hands-on experience with AI/ML technologies, large language models (LLMs), agentic development, or AI-assisted engineering tools preferred.
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Strong leadership, problem-solving, collaboration, and mentoring abilities.
• Ability to work effectively in a fully remote environment within US Eastern or Central time zones.
• Willingness to responsibly adopt AI tools to improve productivity and innovation.

Benefits:

• Competitive base salary range of $155,000 - $184,000 per year, excluding variable compensation.
• Fully remote work opportunity for eligible candidates located in US Eastern or Central time zones.
• Comprehensive health insurance plans.
• Paid time off and company-paid holidays.
• 401(k) retirement program with company match.
• Additional company-sponsored benefits and wellness programs.
• Opportunity to lead impactful technology initiatives within a mission-driven healthcare environment.
• Ability to influence modern data architecture, analytics capabilities, and AI-powered solutions.
• Collaborative culture focused on innovation, technical excellence, and professional growth.