HHAeXchangeRemote
Data Engineer
United States of America
Full Time
2 weeks ago
$105,000 - $115,000 USD
H1B Sponsor Likely
Key skills
PythonSQLAIMachine LearningELTData EngineeringData WarehousingAnalyticsBITableauPower BIDomoSnowflakeBigQueryRedshiftAirflowdbtAWSAzureGCPKubernetesDockerCommunicationCollaboration
About this role
HHAeXchange is the leading technology platform for home and community-based care, and they are seeking a highly motivated Data Engineer to design, develop, and optimize their data platforms and advanced analytics applications. The role involves collaborating with various teams to create scalable and reliable data solutions that enhance analytics and business operations.
Responsibilities:
- 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
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
- 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