Senior Data Engineer

August 14

Apply Now

Receive Emails with Similar Jobs

Medalogix

WebsiteLinkedInAll Job Openings

Intelligent Solutions for Advancing Patient Care

predictive modeling • CMS BPCI risk modeling • reducing readmissions • hospice transfer

11 - 50

💰 Private Equity Round on 2021-05

Description

• Design, build, and maintain batch or real-time data pipelines in production while adhering to architectural requirements of maintainability and scalability. • Build scalable data pipelines (Python/DBT) leveraging the Airflow scheduler/executor framework. • Responsible for ensuring that large and/or more complex engineering projects are delivered in alignment with the appropriate business outcomes. • Monitor data systems performance and implement optimization strategies. • Stay current with emerging trends and technologies in data engineering, and HealthTech industry standards. • Perform on-call off-hours support for critical systems.

Requirements

• 7+ years as a Data Engineer or related role, with a focus on designing and developing performant data pipelines. • Intermediate/Expert-level knowledge of Kubernetes fundamentals like nodes, pods, services, deployments etc., and their interactions with the underlying infrastructure. • 2+ years hands-on experience with Docker containerization technology to package applications for use in a distributed system managed by Kubernetes. • 3+ years’ experience with orchestration platform airflow. Experience with Azure Data Factory is a plus but not required. • Expertise in using DBT and Apache Airflow for orchestration and data transformation. • Strong programming skills in Python and SQL. Experience with Scala is a plus but not required. • Strong experience with at least one cloud platform such as AWS, Azure, or Google Cloud • Experience working with cloud Data Warehouse solutions (Snowflake). • Excellent problem-solving, communication, and organizational skills. • Proven ability to work independently and with a team. • Approachable, personable and team player comfortable working in an Agile environment • Experience with working on large data sets and distributed computing. • Knowledge of EMR systems like HCHB/MatrixCare. • Prior experience as a Senior Data Engineer within a healthcare SaaS group

Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity)