Principal Data Engineer

The Principal Data Engineer will lead the design, development, and optimization of data platforms and analytics applications for HHAeXchange, a healthcare technology company focused on home and community-based care. This senior role involves collaboration across teams to build scalable, reliable data solutions that support advanced analytics, machine learning, and business operations.

Location: Remote (US)

Salary: $155,000–$184,000/yr

Responsibilities

• Design end-to-end data architectures, frameworks, and pipelines supporting large-scale data ingestion, processing, and analytics.
• Collaborate with stakeholders to align data solutions with business and product strategies.
• Build and optimize ETL/ELT workflows, data models, and distributed data processing jobs.
• Implement solutions using technologies such as Python, SQL, dbt, DMS, AWS Glue, Airflow, Docker/Kubernetes, Snowflake, and other cloud-native services.
• Develop best practices for data quality, integrity, lineage, governance, performance, and reliability.
• Establish and maintain SLAs, monitoring, and alerting for data services.
• Identify and resolve performance bottlenecks for scalable and cost-efficient data processing.
• Provide technical leadership and mentorship to engineering teams.
• Promote engineering best practices including CI/CD, IaC, automated testing, observability, security/privacy, and AI tools.
• Lead problem-solving initiatives and guide technology and design decisions.
• Partner with cross-functional teams to define data requirements and deliver impactful solutions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of software and data engineering experience with a focus on distributed data processing.
• 5+ years of experience with reporting and analytics tools (e.g., Looker, Power BI, Tableau).
• 3+ years of experience in regulated industries, preferably healthcare or homecare.
• Proven expertise in Python, SQL, data pipelines, data modeling, governance, and security best practices.
• Deep experience with cloud platforms (AWS, Azure, GCP) and data warehousing (Snowflake, BigQuery, Redshift).
• Ability to lead large-scale data initiatives and influence architecture.
• Excellent communication skills for technical and non-technical stakeholders.
• Experience supporting ML/AI workflows is preferred.
• Hands-on experience with AI/ML, LLMs, agentic development, and AI tools is preferred.
• Experience with healthcare or homecare tech (EHR, HL7/FHIR) is preferred.
• Willingness to adopt AI tools responsibly.

Benefits

• Competitive health plans.
• Paid time-off and holidays.
• 401K retirement plan with company match.
• Other company-sponsored programs.

Additional Information

• This is a fully remote position for candidates in the EST or CST time zones within the US.
• Travel up to 10%, including overnight travel.