Data Jobs in Coral Gables, FL

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Lead Healthcare Cloud Data Engineer

Baptist Health South Florida Coral Gables, FL

Coral Gables, FL

Today

$126k - $164k/yr Full time Senior AWS Big Data

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Job Description

Baptist Health South Florida offers a path for career growth, comprehensive health and wellness resources, a wellness program that can help employees eliminate their medical plan deductible, and tuition reimbursement. This onsite role in Coral Gables, FL provides a salary range of USD 126,148 to 163,993 per year, and the chance to collaborate across teams in a compliant healthcare environment.

Responsibilities

Partner closely with various teams to design, build and maintain data systems and applications.
Analyze and design data storage structures.
Build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem.
Leverage data modeling principles and modern data platforms to design and implement data pipeline solutions.
Use analytic SQL, and work with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift.
Provide production support and adhere to the defined SLA(s).
Demonstrate strong technical skills and attention to detail.
Ensure data security, compliance, and policies in healthcare services.
Test and validate according to industry best practices and communicate effectively with peers in technology teams.
Communicate effectively with strong interpersonal, written, and oral communication skills across all levels of the organization.
Prior experience in the healthcare industry is a plus.

Requirements

Bachelors degree in computer science or related; Master’s degree preferred.
At least 10 years with a Bachelors and at least 8 years with a Master of recent experience in data engineering and end-to-end automation of data pipelines.
Healthcare experience and Epic systems experience strongly preferred.
Strong understanding of relational and NoSQL databases and data structures.
Strong understanding of data science and business intelligence workflows.
Programming experience ideally in Python and 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.
10+ years of hands-on experience with modern data platforms (Snowflake, Redshift, etc) required; 10+ years of hands-on data warehouse design/architecture with AWS, Data Vault 2, or Dimensional Modeling, along with orchestration tools like Airflow or Control-M, containerization (Docker & Kubernetes), CloudFormation and Terraform, and AWS services (S3, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS, etc); Agile methodology and DevOps processes; modern data integrations tools (DBT, Informatica PowerCenter, AWS Glue or similar) preferred; 3+ years of data modeling and familiarity with AI/ML and BI tools is a plus.

Technologies

AWS S3, Hadoop, Hive, Redshift
Snowflake, AWS Glue, Athena, Lake Formation
DynamoDB, DMS, RDS
Airflow, Control-M
Docker, Kubernetes
CloudFormation, Terraform
DBT, Informatica PowerCenter, AWS Glue or similar
Python, Java

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