Jr. Data Engineer - Remote

Our direct client, a fast-growing digital healthcare company based in NY, is looking for a Jr. Data Engineer. In this role, you will work within the Data & Analytics team to develop and optimize the data processing for the data warehouse. You will build data processing frameworks that handle the business s growing database. This role will work with other data engineers and analytics team in leveraging data with reporting and scientific tools. You will strive to continuously develop new and improved data engineering capabilities including working on pipelines for Machine Learning and Artificial Intelligence.

Responsibilities:

• You will be aiding in building the business data collection systems and processing pipelines. They are also responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics department. Build and manage the daily ETL processes.
• Data Engineering team is responsible for coordinating with company executives and other professionals to create unique data infrastructure, running tests on their designs to isolate errors, and updating systems to accommodate changes in company needs.
• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources using Azure and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.

Qualifications:

• Bachelor's degree in data science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or related field required.
• 1-3 years of experience as a Data Engineer in a fast-paced environment.
• Extensive advanced SQL Experience a must.
• Azure Cloud experience is highly preferred.
• Experience working with Python (Pandas) a plus.
• Experience building and maintaining reliable and scalable ETL on cloud platforms.
• Experience working with varied forms of data infrastructure inclusive of relational databases.
• Knowledge of data mining techniques, relational, and non-relational databases.
• Extremely detailed, organized, and able to work in a fast-paced environment while handling multiple projects.
• Excellent written and verbal communication skills.