CyberCoders is seeking a Data Engineer with expertise in healthcare and insurance to design and maintain scalable data pipelines. The role involves optimizing data storage and ensuring data integrity for analytics and reporting.
Data Engineer - Healthcare, Insurance Job Title: Data Engineer (Lakehouse Architecture) - Healthcare, Insurance Job Location: PHX, AZ Salary: Competitive Salary DOE, Benefits, 401k Match, Bonus Requirements: 3+ Years Data Engineering Experience Position Overview We are seeking a skilled Data Engineer with a background in healthcare and insurance to join our data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures to optimize data storage and retrieval for analytics and reporting purposes. This role is crucial in ensuring the integrity and availability of data across our healthcare and insurance platforms. Key Responsibilities • Design and implement robust data pipelines to process and integrate large volumes of healthcare and insurance data. • Develop and maintain data models to support analytics and reporting needs. • Utilize ETL tools to extract, transform, and load data from various sources into data warehouses. • Collaborate with data analysts and data scientists to ensure data quality and accuracy for decision-making. • Implement data governance practices to ensure compliance with healthcare regulations and data privacy standards. • Optimize existing data architecture for performance and scalability using cloud technologies. • Work with Big Data technologies, including Apache Spark, to handle complex data processing tasks. • Create documentation and conduct training for team members on data processes and systems. Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field. • 3+ years of experience in data engineering, with a focus on healthcare or insurance data. • Proficiency in SQL and Python for data manipulation and analysis. • Experience with data warehousing solutions and ETL processes. • Familiarity with Big Data technologies and frameworks, especially Apache Spark. • Knowledge of data modeling concepts and best practices. • Experience with cloud technologies such as AWS or Azure. • Understanding of data governance principles and practices. • Familiarity with machine learning concepts and statistical analysis is a plus. Benefits • Competitive Salary DOE ($80,000 -$130,000) • Bonus Potential • 401k Match • Medical, Dental, Vision Benefits • Additional Perks etc. - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 08/05/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.
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CyberCoders is seeking a Data Engineer with expertise in healthcare and insurance to design and maintain scalable data pipelines. The role involves optimizing data storage and ensuring data integrity for analytics and reporting.