Associate Data Engineer

**This is a Fully Remote Job** **About Our Client:** The organization operates in the healthcare technology industry, focusing on improving health outcomes by connecting individuals with care, pharmacy benefits, and data resources. It addresses challenges in healthcare data integration and optimization by developing advanced applications and products that enhance member experiences and system efficiency. The team handles large\-scale data with significant business impact and adopts next\-generation technologies to drive meaningful change in healthcare. **About the Opportunity:** The ASSOCIATE DATA ENGINEER role involves designing, building, and maintaining scalable data pipelines and storage solutions. This position supports data scientists, machine learning engineers, and technical teams by ensuring efficient data flow and analytics capabilities. The role leverages enterprise\-approved AI tools to enhance workflows, automate tasks, and improve decision\-making, contributing to the overall effectiveness of healthcare data solutions. **Responsibilities:** * Develop and maintain data pipelines for consolidating individual data from multiple sources * Support real\-time data ingestion using technologies such as Kafka and batch processing with Spark * Analyze data using cloud\-based tools like AWS Athena to meet business needs * Generate reports and dashboards to support decision\-making * Monitor and maintain data quality and integrity * Resolve data\-related issues to ensure accuracy and reliability * Document data pipelines, processes, and procedures * Ensure compliance with data governance and security policies * Collaborate with cross\-functional teams to understand data requirements and deliver solutions * Support ad hoc data requests and troubleshooting under senior supervision * Utilize AI tools to streamline workflows and drive continuous improvement * Evaluate emerging trends for solution design and innovation **Requirements:** * Minimum 2 years of experience in data engineering, SQL querying, and ETL tools * At least 2 years working with big data technologies such as Apache Spark and Kafka * Minimum 1 year experience analyzing data using cloud tools like AWS Athena * Exposure to AI tools, generative AI, or prompt engineering in technical workflows * Proven troubleshooting skills and ability to collaborate with technical teams **Pay Range and Compensation Package:** * Salary ranges from $60,200 to $107,400 annually based on full\-time employment **Benefits \& Perks:** * 401(k) contribution **Equal Opportunity Statement:** Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. **Note:** TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.