Sentinel Staff Data Scientist -18948

About the role

The SDS Division Analytics team is seeking an experienced data professional to serve as a data engineering technical lead. They will work directly with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders by developing, deploying, and maintaining data pipelines from authoritative data sources needed for metrics and analytics.

Responsibilities

• Oversee both long-range goals and near-term objectives of the Division Analytics team related to collecting, managing, and converting raw data into usable information for business analysts to interpret and for division-wide accessibility.
• Provide mentorship and leadership to guide junior data engineers, conduct code reviews, and champion engineering best practices.

Requirements

• 12 years professional experience with Bachelors in Science; 10 years with Masters; 8 years with PhD or an additional 4 years of related experience in lieu of degree.
• Must be a US citizen.
• Experience using various programming languages and tools for data science and data engineering; e.g., Python, SQL, Neo4j, Tableau, AWS, etc.
• Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from various sources using APIs, custom code, and other extraction methods.
• Experience handling structured and unstructured data and using database management systems.
• Experience with distributed (cloud) data storage structures, local databases, and other data storage forms.

Qualifications

• Experience with DevOps to include automated deployment (CI/CD) and management of containerization.
• Hands-on experience with pipeline orchestration concepts.
• Experience in data governance and quality such as establishing data quality frameworks, managing metadata, and the implementing security and compliance protocols.
• Experience working with customers/stakeholders to gather, define, and deliver on analytics requirements, often derived from ambiguous goals or objectives.
• Demonstrates system thinking with the ability to see the big picture and make strategic architectural decisions over quick fixes.

Skills

• Experience with various programming languages and tools for data science and data engineering.
• Experience with data pipelines and data storage structures.
• Experience with DevOps and pipeline orchestration.
• Experience with data governance and quality.
• Experience working with customers/stakeholders to gather and define analytics requirements.

Benefits

• Medical, Dental & Vision coverage
• 401k
• Employee Assistance Programs & Work/Life Solutions
• Paid Time Off
• Health & Wellness Resources
• Employee Discounts

Pay

Primary Level Salary Range: $168,200.00 - $292,100.00

Schedule

The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off.