Baptist Health South Florida-posted 4 months ago
$126,148 - $163,993/Yr
FL
5,001-10,000 employees

We are looking for a lead data engineer highly collaborative and comfortable with ambiguity and change in a fast-paced environment to partner closely with various teams to design, build and maintain data systems and applications. Must be a self-starter and highly organized with strong problem-solving and learning skills to work with various teams analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem. Leverage strong understanding of data modeling principles and modern data platforms to properly design and implement data pipeline solutions. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift. Provide production support and adhering to the defined SLA(s). Strong technical skills and demonstrated ability to be detail-oriented. Good understanding of data security, compliance, and policies in healthcare services. Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams. Strong interpersonal, written, and oral communication skills with ability to work with all levels of the organization. Prior experience in the healthcare industry is a plus.

  • Design, build and maintain data systems and applications.
  • Analyze and design data storage structures.
  • Build performant automated data pipelines that are reliable and scalable.
  • Leverage understanding of data modeling principles and modern data platforms.
  • Provide production support and adhere to defined SLA(s).
  • Test and validate data solutions according to industry best practices.
  • Communicate effectively with peers in technology teams.
  • Bachelor's degree in computer science or related field.
  • At least 10 years of recent experience in data engineering and end-to-end automation of data pipelines.
  • Strong understanding of relational & NoSQL databases and data structures.
  • Strong understanding of data science and business intelligence workflows.
  • Programming experience ideally in Python & Java.
  • Experience with large-scale data warehousing and analytics projects, including using AWS technologies.
  • Proven track record of successful written communication, technically deep and business savvy.
  • Experience with machine learning toolkits.
  • Experience in production support and troubleshooting.
  • Master's degree preferred.
  • Experience with modern data platforms (Snowflake, Redshift, etc.).
  • Experience with data warehouse design/architecture with AWS, Data Vault 2.0 or Dimensional Modeling.
  • Familiarity with orchestration tools like Airflow, Control-M.
  • Experience with containerization of applications (Docker & Kubernetes).
  • Experience with Cloud Formation and Terraform—AWS Services (S3, AWS Glue, Athena, Lake formation, DynamoDB, DMS, RDS, etc.).
  • Experience with modern data integrations tools (Dbt, Informatica Power Center, AWS Glue or similar).
  • 3+ years of data modeling and familiarity with AI/ML and BI tools.
  • Competitive salary range of $126,148.63 - $163,993.22 per year depending on experience.
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