Principal Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Engineer based in United States. This role offers the opportunity to shape the future of enterprise data platforms by designing scalable solutions that power analytics, machine learning, and critical business operations. You will provide technical leadership across data engineering initiatives, driving architecture decisions and establishing best practices for reliable, high-performance systems. Working closely with engineering, product, operations, and business teams, you will translate complex requirements into impactful data solutions. The position combines hands-on technical expertise with strategic influence, enabling better decision-making through trusted and accessible data. You will help build modern cloud-based data ecosystems while improving data quality, governance, security, and operational efficiency. This is an ideal opportunity for an experienced data engineering leader who enjoys solving complex challenges and mentoring technical teams. \n 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. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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