Data/Python Engineer

Our Healthcare Tech client is a mission-oriented organization and are thrilled about the work that they do every day. They’re transparent, collaborative, and relentless in pursuit of their mission, all while doing so with humility and a low ego. They believe that diverse backgrounds and experiences create the best opportunity for innovation and the community that they are creating is greater than any individual.

Quality data is fundamental to the organization’s success. As a rapidly growing company, they are preparing for a future of tremendous growth and transformation. They are rebuilding our Data Engineering practice to enable the company's success by building a solid data foundation. They are seeking stunning Senior Data Engineers to help them define and realize their vision for trustworthy data across the company.

The organization needs to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal. At the same time, the technology used to create great data is continually evolving. They need senior engineers who are passionate not only about the data, but also about improving the technology being leveraged for Data Engineering.

What will make you successful here?

·        Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth and improve the product experience.

·        Build scalable data pipelines leveraging orchestration technologies.

·        Design our data models for optimal storage and retrieval and to meet critical product and business requirements.

·        Understand and influence logging to support our data flow, architecting logging best practices where needed.

·        Contribute to shared Data Engineering tooling & standards to improve the productivity

·        Improve data quality by using & improving internal tools to automatically detect issues.

·        A low ego and humility; an ability to gain trust by delivering value

Required Qualifications:

·        5 years of relevant industry data experience

·        5 years of software development experience (python, scala, java)

·        2 years of experience developing data products using Apache Spark

·        3 years of experience with CI/CD process and tools (github, Jenkins)

Preferred Qualifications:

·        Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions

·        Experience with healthcare data, claims or clinical

·        Exceptional collaboration and communication skills across distributed teams Experience with Snowflake

·        Proven ability to succeed in both collaborative and independent work environments