Senior Data Engineer

2 Months ago • 7 Years + • Data Analyst

Job Summary

Job Description

Blink Health seeks a Senior Data Engineer to design, build, and maintain scalable data engineering platforms. Responsibilities include developing high-performance algorithms for massive data processing in a modern data lakehouse, integrating new technologies into existing pipelines, and improving data pipeline reliability and efficiency. Collaboration with various teams is crucial. The ideal candidate will possess 7+ years of experience, expertise in AWS, Airflow, Databricks, SQL, Python, Spark, PySpark, and data visualization tools. Knowledge of Kubernetes and Docker is a plus. The role involves managing ingestion platforms, creating custom components, and developing analytics applications.
Must have:
  • 7+ years Data Engineering experience
  • AWS, Airflow, Databricks expertise
  • SQL, Python, Spark, PySpark proficiency
  • Data visualization tools experience
  • Scalable data platform design & maintenance
Good to have:
  • Kubernetes, Docker knowledge
  • Sophisticated data modeling skills

Job Details

Company Overview:

Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody.  Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. 

BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock. 

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

Responsibilities:

  • Design, construct, implement, and maintain highly scalable data engineering platforms
  • Build high-performance algorithms that help process massive amounts of data in modern data lakehouse platform
  • Integrate new data management technologies and data engineering tools into existing structures and pipelines
  • Have a constant mentality and proven way  to improve data pipeline reliability, efficiency, and quality
  • Collaborate with data architects, service engineers, analysts, and IT team members to achieve project goals on time
  • Manage existing ingestion platforms and create custom data engineering components and analytics applications.

 

Requirements:

  • 7+ years of prior experience as a Data Engineer
  • Experience with popular AWS cloud services
  • Proven expertise in the use of data management technologies such as Airflow and Databricks
  • Strong command of SQL, Python, Spark, and PySpark
  • Experience with data visualization tools (e.g. Tableau, D3.js, PowerBI)
  • Technical expertise in sophisticated data modeling which includes both batch streaming and segmentation techniques
  • Knowledge of using Kubernetes, Docker, and other Devops tools is a strong plus

Why Join Us:

It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population.  At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year.  Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers.

We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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