Senior Data Engineer

The Senior Data Engineer will expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. The role involves performing data architecture analysis, design, development, and testing to deliver data applications, services, interfaces, ETL processes, reporting, and other workflow and management initiatives.

Key responsibilities include:

• Designing and developing enterprise data architecture solutions using AWS Glue, Lambda, and other data technologies like Spark, Scala, Java, Python, SQL, etc.
• Designing and developing machine learning algorithms and AI models for business requirements
• Creating and maintaining optimal data pipeline architecture
• Partnering with business leaders to determine and prioritize delivery initiatives
• Ensuring appropriate change management and technology methodologies are carried out consistently

The ideal candidate should have:

• 8 to 10 years of overall IT experience with 3 years of relevant experience in designing and developing end-to-end enterprise-wide big data solutions and Machine Learning Algorithms
• Strong analytical and leadership skills
• Experience with AWS Glue, Lambda, Spark, Scala, and strong SQL skills (preferably Redshift)
• Master's in data science preferred, bachelor's degree in computer science or related field required

This role offers a competitive salary range of $102,000 - $194,500 USD, along with comprehensive benefits including health insurance, 401(k) with immediate vesting on employee contributions, and potential for annual cash bonuses and long-term incentives.

Global Atlantic is committed to creating an inclusive environment and values diversity in its workforce. The company offers a hybrid work model with 3-4 days per week in the office for most locations.