Data Engineer

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Vytalize Health

πŸ“Remote - Worldwide

Summary

Join Vytalize Health as a Data Engineer and contribute to the design, construction, and maintenance of scalable data systems supporting our business objectives. Collaborate with cross-functional teams to ensure efficient and accurate data collection, storage, processing, and analysis. You will play a crucial role in ensuring the robustness, scalability, and security of our data infrastructure. This position requires a Bachelor's degree in a related field and 5+ years of experience in data engineering. We offer competitive compensation, comprehensive health benefits, a 401k plan, generous paid time off, and the opportunity to make a significant impact on people's lives.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 5+ years of experience in data engineering
  • Strong understanding of data lake, data warehousing, data modeling
  • Strong SQL skills
  • Strong experience with Python
  • Experience with healthcare data
  • Experience with big data technologies such as Hadoop, Spark, Columnar databases
  • Knowledge of data processing and ETL tools such as Airflow or Talend, and understand the tradeoffs of them
  • Experience with cloud computing platforms such as AWS (or Google Cloud, or Azure)
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills
  • Ability to be self-directed and work autonomously, as well as being part of a collaborative team

Responsibilities

  • Design, build, and maintain data pipelines to meet business needs
  • Collaborate with cross-functional teams to understand data requirements and ensure data quality
  • Implement scalable data storage and processing systems capable of handling large datasets
  • Develop and maintain data pipelines for ingesting data from various sources and ensuring proper data formatting for analysis
  • Create and maintain data models, dictionaries, and metadata
  • Work closely with data scientists and analysts to understand their data needs and ensure alignment with data systems
  • Document data systems, processes, and procedures
  • Implement data quality control processes to validate and clean data prior to analysis
  • Design and implement security measures to protect sensitive data and ensure data privacy
  • Optimize data systems for performance and scalability to support organizational growth
  • Stay updated with the latest tools and technologies in data engineering to meet the organization's evolving data requirements

Benefits

  • Competitive base compensation
  • Annual bonus potential
  • Health benefits effective on start date; 100% coverage for base plan, up to 90% coverage on all other plans for individuals and families
  • Health & Wellness Program; up to $300 per quarter for your overall wellbeing
  • 401K plan effective on the first of the month after your start date; 100% of up to 4% of your annual salary
  • Company paid STD/LTD
  • Unlimited (or generous) paid "Vytal Time", and 5 paid sick days after your first 90 days
  • Technology setup
  • Ability to help build a market leader in value-based healthcare at a rapidly growing organization
This job is filled or no longer available