Senior Data Engineer

We exist to power better care.
The project is on a mission to power better care​ by optimizing every patient journey​. They help payers, providers, and life sciences companies deliver better care, therapies, and outcomes by delivering the most actionable patient journey insights and value-based payments platform. With their developments, healthcare organizations benefit from big data efficiencies and self-service, on-demand enterprise insights that light the path to higher-value care.
We are looking for a Senior-level Data Engineer to take on a crucial role in designing and implementing scalable, high-performance, and resilient data pipelines using cutting-edge Big Data technologies. Joining our data ingestion and transformation team, you will collaborate closely with software and data engineers, contributing your expertise to deliver top-quality data solutions for platform teams and business stakeholders. The ideal candidate at this level will possess strong communication skills, proven experience in data design and implementation, a passion for innovation, and a consistent drive to deliver results.

• 3-5 years of demonstrated hands-on experience working on complex projects and managing large data sets.
• Advanced technical knowledge and hands-on experience with Python, PySpark, SQL, AWS Athena, and AWS S3 are required. This is a must, as the customer needs someone who excels in these technical areas;
• 2-3 years of experience working with distributed data processing frameworks – Spark preferred
• Practical knowledge of AWS services such as EMR, S3, Athena
• Strong programming and algorithmic skills
• Familiarity with Git, Airflow, relational databases, APIs
• Bachelor’s or foreign equivalent degree in Computer Science or a related field and 2 to 3 years of experience in the position-related occupation.

• Design, develop and test ETL pipelines for big data processing
• Gain a solid understanding of our platform architecture and help develop it further
• Work with senior team members to optimize and scale new and existing big data pipelines.
• Follow best practices and coding standards.
• Be an integral part of a scrum team in a fast-paced startup environment; be flexible and willing to switch tasks based on the team’s needs and priorities.
• Address pressing bugs.
• Completing timely and proactive code reviews that are more thorough than Associate Data Engineers.
• Work independently on projects and tasks.
• Focusing on execution, including implementation and testing based on functional specification.
• Participates in design and estimation process, with guidance from more senior engineers.
• Committed to quality, seeking out design and code reviews as appropriate.
• Leading team estimation meetings.