Baptist Health South Florida-posted 4 months ago
$126,148 - $163,993/Yr
Full-time • Senior
Remote • Remote, FL
5,001-10,000 employees
Hospitals

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.
  • 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 with a Bachelor's degree.
  • At least 8 years of recent experience in data engineering with a Master's degree.
  • Strong SQL and Python programming experience.
  • Experience with large-scale data warehousing and analytics projects, including using AWS and GCP technologies.
  • Hands-on experience with modern data platforms (Snowflake, Redshift, etc.) required.
  • 10 years of hands-on experience in data warehouse design/architecture with AWS.
  • Strong understanding of data science and business intelligence workflows.
  • Experience in production support and troubleshooting.
  • Master's degree preferred.
  • Experience with Snowflake, DBTCloud, Gitlab, Terraform, Serverless EMR strongly preferred.
  • Familiarity with Dimensional Modeling, Orchestration tools like Airflow, Control-M.
  • Experience with containerization of applications (Docker & Kubernetes).
  • Familiarity with Cloud Formation and Terraform-AWS Services (S3, AWS Glue, Athena, Lake formation, DynamoDB, DMS, RDS, etc.).
  • Experience with Agile methodology and DevOps process.
  • 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.
  • Estimated salary range for this position is $126148.63 - $163993.22 / year depending on experience.
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