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Data Engineer (Remote)

RxAnte Inc • Remote • Posted 9 days ago via ZipRecruiter

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Remote • Full-time • Senior Level

Job Highlights

Using AI ⚡ to summarize the original job post

The Data Engineer at RxAnte Inc is responsible for managing, designing, and building systems to deliver analytic products in a scalable manner using cloud data warehouse/lake technology. This role involves strong analytic, communication, and AWS cloud experience, as well as data architectural and system engineering skills. The position requires collaboration with various internal stakeholders to establish best practices and contribute to the overall cloud data warehouse/lake vision. This is a remote work position.

Responsibilities

  • Work with Data Services leadership to architect, develop, and maintain processes and programs
  • Establish and maintain project-deliverable processes with an eye toward full scalability and automation
  • Support and establish cloud data environment design and development
  • Engineer within the AWS cloud data environment using Glue, EMR Serverless, Databricks, Snowflake, or similar technologies
  • Collaborate with internal IT team to establish best practices
  • Collaborate with product, analytical, business intelligence, and data teams to establish best practices utilizing the cloud data environment
  • Gather business requirements and work on system design frameworks documentation using Atlassian tools
  • Lead projects, set vision of data governance, establish CI/CD pipelines, and contribute to ongoing development
  • Manage individual projects through the entire project lifecycle

Qualifications

Required

  • 5+ years of relevant/related experience in similar role
  • Experience with SQL and/or NoSQL databases including coding and system design
  • Experience with clouds (ideally AWS)
  • Experience with Java, Spark, and/or Python
  • Experience with ETL/ELT tool set
  • Experience with CI/CD pipeline
  • Experience designing, constructing, and using data databases/lakes for product delivery
  • Experience working with administrative health care data (e.g., commercial medical, hospital, and pharmacy claims, and Medicare or Medicaid data), healthcare informatics, or health care claims processing a plus
  • Experience with SAS programming a plus
  • Strong communication, analytical, and data quality skills
  • Ability to document and work through requirements gathering
  • Experience working in an environment which utilizes project management tools such as Atlassian
  • Willingness to travel as needed

Full Job Description

Job Description

Job Description
Description:

Data Engineer, Data Services


Company Overview

Over the next ten years, there will be at least 4.6 million hospitalizations from the misuse of prescription drugs in people 65 or older, resulting in $528 billion in annual avoidable costs. RxAnte is on a mission to improve people’s health by helping them get more from medicines. A rapidly growing, tech-enabled healthcare services company with over 30 million lives under management, RxAnte has become a leading provider of value-based pharmacy care management solutions for health plans.


RxAnte launched Mosaic Pharmacy Service in 2019, a wholly owned subsidiary designed to offer pharmacy and chronic care management services for our clients’ most medically complex and vulnerable members. Using data, advanced analytics, specialized software and pharmacy automation, Mosaic is transforming the pharmacy experience for medically complex seniors while also helping payers achieve their quality improvement and cost savings objectives.


Job Profile

The Data Engineer of Data Services reports directly to the VP, Data Services and is responsible for taking part in the managing, designing, and building of systems required to deliver Mosaic and RxAnte's analytic products in a scalable manner using cloud data warehouse/lake technology. Strong analytic, communication, and AWS cloud experience is required. The Data Engineer will have data architectural and system engineering skills. In addition to taking part in the design and development of the systems, the Data Engineer will contribute to overall future cloud data warehouse/lake vision. The Data Engineer will be responsible for helping to assess and gather project requirements and assess work effort. Additionally, the role will interact with both technical and non-technical internal stakeholders. We are seeking someone who loves to set the vision in a new environment as a trailblazer, educate internal team members, and then work within the environment to apply best practices. This is a remote work position.


Specific responsibilities include:

  • Work with Data Services leadership to architect, develop, and maintain processes and programs
  • Establish and maintain project-deliverable processes with an eye toward full scalability and automation
  • Support and establish cloud data environment design and development
  • Engineer within the AWS cloud data environment using Glue, EMR Serverless, Databricks, Snowflake, or similar technologies
  • Collaborate with internal IT team to establish best practices
  • Collaborate with product, analytical, business intelligence, and data teams to establish best practices utilizing the cloud data environment
  • Gather business requirements and work on system design frameworks documentation using Atlassian tools
  • A strong desire to be able to lead projects, set vision of data governance, establish CI/CD pipelines, and contribute to ongoing development
  • Ability to successful manage individual projects through the entire project lifecycle
  • Other activities as needed
Requirements:
  • 5+ years of relevant/related experience in similar role
  • Experience with SQL and/or NoSQL databases including coding and system design
  • Experience with clouds (ideally AWS)
  • Experience with Java, Spark, and/or Python
  • Experience with ETL/ELT tool set
  • Experience with CI/CD pipeline
  • Experience designing, constructing, and using data databases/lakes for product delivery
  • Experience working with administrative health care data (e.g., commercial medical, hospital, and pharmacy claims, and Medicare or Medicaid data), healthcare informatics, or health care claims processing a plus
  • Experience with SAS programming a plus
  • Strong communication, analytical, and data quality skills
  • Ability to document and work through requirements gathering
  • Experience working in an environment which utilizes project management tools such as Atlassian
  • Willingness to travel as needed

We strongly encourage candidates from all backgrounds and every walk of life to apply. We are committed to creating an inclusive and diverse workforce. Every person on our team brings their own unique perspective, and it’s what makes our products better and our work more rewarding.