Data Engineer

🕒 March 10

🇺🇸 United States – Remote

💵 $105k - $115k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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HHAeXchange

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

⚕️ Healthcare Insurance

☁️ SaaS

📋 Compliance

💰 Private Equity Round on 2021-09

Healthcare Insurance • SaaS • Compliance

HHAeXchange is a comprehensive homecare software solution that connects different stakeholders in the homecare industry, including providers, state Medicaid programs, managed care organizations (MCOs), and caregivers. It offers a platform that ensures efficiency, communication, transparency, and compliance in managing homecare services. With tools for EVV (Electronic Visit Verification), billing, payroll, scheduling, and a caregiver mobile app, HHAeXchange improves care outcomes and operational efficiency. The platform is secure and scalable, integrating various business functions for better visibility and efficiency, and is designed to support value-based care initiatives. HHAeXchange aims to streamline homecare service delivery, reduce errors, and enhance caregiver experiences.

📋 Description

• Design, build, and own scalable data platforms that power analytics, machine learning, regulatory reporting, and mission-critical operational systems. • Develop robust ELT workflows, data models, and distributed processing jobs using modern cloud data technologies. • Implement modern data engineering solutions using technologies such as Python, SQL, dbt, Airflow, Snowflake, Tableau, Power BI, AWS data services, containerization (Docker/Kubernetes), and related cloud-native tools. • Leverage 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.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 2+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications. • 1+ years of experience implementing, and maintaining reporting and analytics tools (e.g., Tableau, Power BI, DOMO), with knowledge of data visualization best practices. • Experience in Python, SQL, query and database optimization, data pipelines, data modeling, and privacy/security best practices. • Experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc). • Excellent communication and collaboration skills. • Desired qualification: 1+ year experience in healthcare or homecare technology (EHR, HL7/FHIR) or regulated industries and product development. • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role

🏖️ Benefits

• Competitive health plans • Paid time-off • Company paid holidays • 401K retirement program with a Company elected match • Other company sponsored programs