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WellBe Senior Medical

In-home medical and mental health care for seniors

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$90k - $135k

About the Job

Requirements

  • Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability.
  • Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities.
  • Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization.
  • Have advanced knowledge of enterprise reporting and analysis tools, SQL, and visual analytic applications.
  • Implement best practices for data governance and ensure data security and compliance.
  • Be fluent in SQL, DBT, and Snowflake; development experience in at least one scripting language such as Python or R is a plus.
  • Have a bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field; a master's degree is preferred.
  • Have 5 years of experience in data and analytic engineering, with progressively increasing responsibilities.
  • Have strong SQL database development, modeling, and querying skills.
  • Be proficient in data processing frameworks such as Snowpipe and Fivetran, databases such as Snowflake and MSSQL, and GCP cloud.
  • Have experience with an ETL tool such as SSIS, Talend, DataFlow, ADF, or AWS Glue.
  • Have experience building pipelines in Azure Data Factory.
  • Have Snowflake data processing experience with Tasks and Procedures, DBT, and GIT.
  • Have experience building an API data ingestion pipeline using Python in a cloud service.
  • Have strong leadership and team-management skills, with the ability to motivate and develop team members.
  • Be able to stand or sit for extended periods and have visual acuity and fine motor skills.
  • Be able to travel as needed.

Responsibilities

  • Design and develop ELT pipelines and transformations for scalable warehouse integrations used for higher-level analytics.
  • Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations.
  • Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy.
  • Work with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions; collaborate with the engineering team to integrate analytical solutions into production systems.
  • Monitor warehouse resource usage and performance and implement solutions to improve performance and reduce resource costs.
  • Apply new tools and techniques to improve the efficiency and effectiveness of data analysis processes.
  • Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation.

Desired Qualifications

  • Have 3 years of experience in health care and health plan data analysis.
  • Have development experience in at least one scripting language such as Python or R.
  • Have knowledge of machine learning concepts and algorithms.

About the Company

WellBe Senior Medical

In-home medical and mental health care for seniors

WellBe Senior Medical sends licensed providers and mental health clinicians to patients' homes, partnering with insurance plans across nine states. Services include in-home medical exams, medication management, post-hospital support, vaccinations, health screenings, a 24/7 nurse hotline, and mental health counseling. What sets WellBe apart is a complementary model: care is covered by insurance at no extra cost, filling gaps when regular doctors are unavailable. The goal is to help seniors with chronic conditions stay healthy at home.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2019

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