Data Engineer
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Job Description
Data Engineer optimizing data platforms and analytics applications for HHAeXchange, the leading homecare technology platform. Collaborating with teams to enhance analytics and machine learning capabilities.
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.
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
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