Data Engineer

at  WRS Health

COMPANY OVERVIEW

Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients. We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

QUALIFICATIONS

• Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Engineer with a strong focus on data architecture
• Expert-level proficiency in data structures, algorithms, and database design.
• In-depth knowledge of AWS cloud platform and its data-related services.
• Strong proficiency in Python or similar programming languages; and SQL / NoSQL databases.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills to effectively collaborate with stakeholders.
• Experience in the Healthcare industry and Hubspot is a plus.
  If you are a passionate Data Engineer with a strong foundation in data structures and AWS, and you are eager to contribute to improving healthcare outcomes, we encourage you to apply.
  Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST)
  Location: Full time - Remote
  This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.
  WRS Health is an equal opportunity employer.
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We are seeking a highly skilled Data Engineer to join our team and play a pivotal role in building robust data infrastructure to support reporting across multiple departments. The ideal candidate will have a strong background in data engineering, data analytics, and data science, with the ability to transform data into actionable insights.

• Design, develop, and implement data architectures and pipelines to efficiently collect and process data.
• Create complex data models and structures to accommodate diverse data sources and support advanced analytics.
• Develop and maintain comprehensive reports, analysis and dashboards to provide actionable insights for various departments, including but not limited to finance, operations, clinical, and marketing.
• Leverage AWS services (e.g., Redshift, S3, EMR, Lambda) to build scalable and cost-effective data solutions.
• Establish policies and standards for data management
• Ensure seamless integration of data across systems.
• Effectively handle and process JSON data for various reporting and analytical needs.
• Work closely with stakeholders to understand their reporting requirements, translate them into technical specifications, and deliver solutions that meet their needs.
• Ensure data integrity, accuracy, and consistency through rigorous quality control measures.
• Continuously explore new data technologies and methodologies to enhance reporting capabilities and drive business value