Work on researching, designing, and implementing enterprise level data pipelines to transform and aggregate huge amounts of health data to support actionable, personalized, and timely health signals for patients to delivers better clinical and financial outcomes. Production grade data pipelines is built using cutting edge big data technologies on cloud platforms like AWS & Azure using Spark, Airflow, Kafka, Jenkins, various data warehouses, delta lake, python, scala etc to support batch & real time data processing by pulling data from multiple sources, cleansing, normalizing, and landing data into central data storage for reporting systems. Collaborate closely with Data Scientists, Analysts, Reporting Teams, devOps & Product Managers to help facilitate their needs by building flexible data models, quality checks, pipelines, automated tests, cost & performance optimizations etc. Rotational on-calls to support the data pipelines meeting the SLA. Participate in Agile/SAFE planning around data feature requests and advocate for the best data engineering projects in priority planning. Telecommuting: 100% Telecommuting.REQUIREMENTS: This position requires a Bachelor’s degree, or foreign equivalent, in Computer Science or a related field plus 5 years of experience as a Data Engineer, Software Engineer. Data Architect or other occupation involving software development. In the alternative, employer will also accept Master’s degree, or foreign equivalent, in Computer Science or a related field plus 3 years of experience as a Data Engineer, Software Engineer, Data Architect or other occupation involving software development. Additionally, the applicant must have employment experience with: 1. Big data technologies such as Hadoop or Spark; 2. Software engineering fundamentals; 3. Creating and maintaining production pipelines; 4. Strong SQL development (Postgres, AWS Redshift or MySQL); 5. Scala, Java, or Python.

　　Minimum Salary: 169229Maximum Salary: 169229Salary Unit: Yearly