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À propos
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Essential Job Duties
Design end-to-end data architectures, frameworks, and pipelines that support large-scale and complex data ingestion, processing, transformations, reporting, and analytics. Collaborate with stakeholders to ensure alignment with business and product strategies. Build and optimize robust ETL/ELT workflows, data models, and distributed data processing jobs. Implement best-in-class solutions using technologies such as Python, SQL, dbt, DMS, AWS Glue, Airflow, Docker/Kubernetes, Snowflake, and other cloud-native services. Develop best practices to ensure data quality, integrity, lineage, governance, performance, and reliability across all pipelines, data platforms, and analytics applications. Establish and maintain SLAs, monitoring, and alerting for mission-critical data services with observability design and implementation. Identify and resolve performance bottlenecks to ensure scalable and cost-efficient data processing. Provide technical leadership and mentorship to senior and junior engineers across the organization. Promote engineering excellence and best practices in data engineering and developer experience —including CI/CD, infrastructure as code (IaC), automated testing, observability, security/privacy, and AI assistant tools. Lead complex problem-solving initiatives and guide decisions on tools, technologies, and design patterns. Partner with data engineers, software engineers, QA, product managers, customer success, and business leaders to define data requirements and deliver high-impact solutions. Other Job Dutes
Other duties as assigned by supervisor or HHAeXchange leader. Travel Requirements
Travel up to 10%, including overnight travel Required Education, Experience, Certifications and Skills
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field highly desirable. 8+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications. 5+ years of experience architecting, implementing, and maintaining reporting and analytics tools (e.g., Looker, Power BI, Tableau), with knowledge of data visualization best practices. 3+ years of experience working in highly regulated industries, with a preference for healthcare or homecare. Proven expertise in Python, SQL, query and database optimization, data pipelines, data modeling, data governance, data catalog/data lineage management, and privacy/security best practices. Deep experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc.). Demonstrated ability to lead large-scale data initiatives and influence architectural decisions across teams. Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders. Experience designing data platforms that support ML/AI workflows preferred. Hands-on experience in AI/ML, LLMs, agentic development, and AI assistant tools preferred. Experience in healthcare or homecare technology (EHR, HL7/FHIR) and product development preferred Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role The base salary range for this US-based, full-time, and exempt position is $155,000-184,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs. HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Compétences linguistiques
- English
Avis aux utilisateurs
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