Remote Principal Data Engineer

Description:

• HHAeXchange is the leading technology platform for home and community-based care, founded in 2008.
• The Principal Data Engineer will lead the design, development, and optimization of data platforms and advanced analytics applications.
• This senior technical role will collaborate closely with engineering, product, operations, and customer success teams.
• Responsibilities include defining architectural direction, driving best practices, and guiding cross-functional efforts to build scalable, reliable, and high-performance data platforms.
• The role will directly impact advanced analytics, machine learning, and mission-critical business operations across the organization.
• This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.
• Essential job duties include designing end-to-end data architectures, collaborating with stakeholders, building and optimizing ETL/ELT workflows, and implementing best-in-class solutions using various technologies.
• The role also involves developing best practices for data quality, establishing SLAs, identifying performance bottlenecks, providing technical leadership, and promoting engineering excellence.
• Other duties may be assigned by a supervisor or HHAeXchange leader.
• Travel requirements include up to 10% travel, including overnight travel.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field is highly desirable.
• Candidates must have 8+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications.
• A minimum of 5 years of experience architecting, implementing, and maintaining reporting and analytics tools is required.
• Candidates should have at least 3 years of experience working in highly regulated industries, preferably healthcare or homecare.
• Proven expertise in Python, SQL, query and database optimization, and data governance is essential.
• Deep experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies is required.
• Candidates must demonstrate the ability to lead large-scale data initiatives and influence architectural decisions across teams.
• Excellent communication and collaboration skills are necessary, with the ability to translate complex technical concepts for diverse stakeholders.
• Experience designing data platforms that support ML/AI workflows is preferred.
• Hands-on experience in AI/ML, LLMs, and AI assistant tools is preferred.
• Experience in healthcare or homecare technology and product development is preferred.
• A willingness to explore and adopt AI tools responsibly to enhance productivity and innovation is required.

Benefits:

• The base salary range for this position is $155,000-184,000 per year, not including variable compensation.
• An employee’s starting salary will be based on various factors including experience, education, training, and location.
• This is a benefits-eligible position, offering competitive health plans and paid time-off.
• Employees receive company-paid holidays and a 401K retirement program with a company elected match.
• HHAeXchange is an equal-opportunity employer, providing employment opportunities without regard to various protected statuses.