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Manager 1 – Data Engineering

Manager 1 – Data Engineering

CompanyModernizing Medicine
LocationBoca Raton, FL, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • 5+ years of relevant technical work experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, with a preference for an advanced degree
  • Extensive experience in a leadership role within the field of data analytics or engineering, with a demonstrated proficiency in PySpark, SQL, Databricks, AWS and Airflow
  • Expert knowledge of big data architectures and processing techniques, with hands-on experience in managing large-scale data systems
  • Proficiency in SQL, alongside experience with both relational and non-relational databases
  • Demonstrated analytical and problem-solving abilities, capable of addressing and simplifying complex business challenges
  • Strong leadership skills, with a history of mentoring and guiding high-performing data engineering teams
  • Deep understanding of cloud infrastructure, preferably AWS, including best practices for security, scalability, and efficiency.

Responsibilities

  • Oversee a team of data engineers to enhance and maintain our big data platform, ensuring scalability, performance, and reliability
  • Architect and implement sophisticated big data processing pipelines using PySpark and Databricks, with an emphasis on optimizing data throughput and processing capabilities
  • Leverage Airflow for the automation and orchestration of complex data workflows, maintaining data integrity and availability across systems
  • Work closely with product management and customer experience teams to design, develop, and deploy intuitive BI solutions that meet the needs of our customers, enhancing user engagement and satisfaction
  • Promote a culture of innovation and continuous learning, keeping abreast with the latest trends and advancements in big data, analytics, and cloud technologies
  • Ensure adherence to data governance, security, and compliance frameworks across all big data and analytics platforms, with a special focus on AWS and Databricks security practices.

Preferred Qualifications

    No preferred qualifications provided.