Lead Data Engineer

Ascension Fed; Tampa (FL); On-site; USD 120,000 - 150,000; Full time

Job summary

A healthcare technology company in Tampa is seeking a Lead Data Engineer responsible for designing and maintaining data architecture, leading a team, and ensuring data compliance. Ideal candidates will have over 10 years of experience, proficiency in SQL and programming languages, and familiarity with cloud platforms. The role emphasizes collaboration with data scientists and communication of complex data issues. This position offers a key opportunity to influence data reliability and security in a dynamic work environment.

Qualifications

• 10+ years of experience in data engineering, including designing and maintaining data architecture.
• Proficiency in SQL and programming languages like Python, Java, or C#.
• Experience with cloud-based data platforms and ETL processes.

Responsibilities

• Design and develop the company's data architecture.
• Lead a team of data engineers and collaborate with stakeholders.
• Implement data security measures and ensure compliance with regulations.
• Develop and maintain data pipelines and optimize data storage.

Skills

Data modeling

ETL

SQL

Python

Java

C#

Cloud platforms

Leadership

Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

Google Cloud

Job description

The Lead Data Engineer will be responsible for designing, developing, and maintaining the company's data architecture. They will lead a team of data engineers and work closely with data scientists, analysts, and other stakeholders to ensure that data is accurate, reliable, and accessible. The Lead Data Engineer will also be responsible for implementing data security measures and ensuring compliance with data privacy regulations.

Responsibilities:

• Design and develop the company's data architecture
• Lead a team of data engineers
• Collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and reliability
• Implement data security measures and ensure compliance with data privacy regulations
• Develop and maintain data pipelines
• Optimize data storage and retrieval
• Identify and resolve data quality issues
• Stay up-to-date with emerging trends and technologies in data engineering

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 10+ years of experience in data engineering
• Experience with data modeling, ETL, and data warehousing
• Proficiency in SQL and at least one programming language (Python, Java, C#, etc.)
• Experience with cloud-based data platforms (AWS, Azure, Google Cloud, etc.)
• Strong leadership and communication skills
• Ability to work independently and as part of a team