Hhaexchange2mo ago

Data Engineer

United StatesRemoteFull Timemid

Data EngineeringData EngineerDataData & AI

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HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

We are seeking a highly motivated Data Engineer who will play a key role in the design, development, and optimization of our data platforms and advanced analytics applications. In this technical role, you will collaborate closely with engineering, product, operations, and customer success teams to develop scalable, reliable, and high-performance data platforms and analytics applications, leveraging best practices. Your work will directly power advanced analytics, machine learning, and mission-critical business operations across the organization with significant impact on our customers and patients.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.

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.

Other duties as assigned by supervisor or HHAeXchange leader.

Travel up to 10%, including overnight travel

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