Remote Senior/Staff Data Engineer

Description:

• We are seeking an experienced and highly motivated Senior/Staff Data Engineer to lead the design, development, and optimization of scalable data solutions in a complex, fast-paced environment.
• This role will focus on delivering robust, high-performance data pipelines and platforms to support advanced analytics, machine learning, and operational data needs.
• The ideal candidate will have extensive experience in U.S. healthcare data, with deep knowledge of claims processing, HL7 FHIR standards, and a strong background in modern data engineering technologies.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field is required.
• The candidate must have 7+ years of professional experience in data engineering, with proven leadership in complex projects.
• Strong expertise in SQL and Python for data processing and automation is essential.
• Proficiency in either Snowflake or Databricks is required, with a willingness to learn the other.
• Mandatory experience in U.S. healthcare data, including claims processing workflows and regulatory compliance, is necessary.
• A solid understanding of HL7 FHIR standards, data integration patterns, and interoperability challenges is required.
• Experience with HIPAA-compliant data solutions and security best practices is mandatory.
• Cloud platform proficiency (AWS, Azure, or GCP) with associated data services is required.

Benefits:

• The position offers continuous learning and career growth opportunities.
• Professional training and English/Spanish language classes are provided.
• Comprehensive medical insurance is included.
• Mental health support is available.
• A specialized benefits program with compensation for fitness activities, hobbies, pet care, and more is offered.
• Flexible working hours are part of the benefits.
• The company promotes an inclusive and supportive culture.