Healthcare Data Engineer, Team Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and enhance data transformation tools using SQL, Python, and Scala for EHR migrations, data archiving, and data streaming projects.

• Create and sustain scalable processes for ingesting and normalizing both structured and unstructured healthcare data sourced from EHRs, HL7, and FHIR.

• Execute data quality assessments and validation rules across various systems.

• Automate ETL workflows to boost performance and enhance system reliability.

• Work collaboratively with project managers, analysts, and solution architects to convert client data requirements into effective technical solutions.

• Keep documentation updated for data mappings, transformation logic, and system configurations.

• Ensure compliance with data protection standards including HIPAA, SOC 2, GDPR, and HITRUST frameworks.

• Identify and rectify data-related challenges to reduce disruptions in client projects.

• Offer daily technical leadership, documentation, guidance, and support for Implementation Engineering teams.

• Enhance the consistency, quality, scalability, and efficiency of technical implementations for clients.

• Foster collaboration between Implementation Engineering, Platform Engineering, Project Management, and other delivery functions.

⛳️ Requirements

• A Bachelor’s degree in computer science, information systems, or a similar discipline.

• At least 5 years of experience in a Data Engineer role or a comparable position, with a focus on data transformation and ETL development.

• In-depth knowledge of data transformation principles, data modeling, and database design methodologies.

• Proficiency in SQL programming, including the development of complex queries, stored procedures, and optimization of database performance.

• Experience with relational databases such as Oracle, SQL Server, and MySQL, along with relevant tools.

• 5+ years of experience with object-oriented programming languages, including SQL, Python, or Scala.

• Hands-on experience with distributed data/computing frameworks like Hadoop and Spark.

• Familiarity with cloud-based data services, particularly AWS.

• Knowledge of healthcare data standards such as HL7 and FHIR is highly advantageous.

• Understanding of healthcare regulatory standards, particularly HIPAA, is also highly desirable.

• Strong analytical and problem-solving capabilities.

• A commitment to data accuracy, quality, and integrity.

• Exceptional communication and collaboration abilities.

• Capacity to thrive in a fast-paced, dynamic environment while managing multiple priorities.

• Demonstrated ability to work autonomously as well as part of a team.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and training.

• Flexible working hours and remote work options.

• A supportive and inclusive company culture.