Lead Data Engineer

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

This role is responsible for the design of data engineering projects, pipeline & proof of concept business solutions for users in analytics and data science. This person works directly with business users, actuaries, data scientists, and analytic engineers on needs and tactical solutions. This role will execute new ETL work tracks for Data Science and analytics from inception and prototyping to fully developed solutions. This role reports into the Pricing organization.
 

Key Responsibilities

• Work closely with Data Science and business partners to take defined Data Science and analytic data engineering needs and bring them from ideation to working pilots and deliverables.
• As team expert, provide direction to peers or AOR partners on technical solutions. Understand the changing analytic needs of users and Data Scientists and assists in the development of goals, and tracks of work to meet those needs. 
• Partner on new ideas and initiatives, and executes rapid development of new data and analytic work tracks with fast iteration over quick sprints
• Leverage data analysis with technology fluency in parallel processing/programming, software/programming languages and (i.e. Oracle, SQL, Python, Spark, R, Object Storage, and Hadoop) paired with a high degree of analytic agility to meet fluid and dynamic business needs in this space 
• Support and develop the data engineering pipelines required to support needs of predictive modeling and analytics. Support the environment; implement monitoring, quality and validation processes to ensure data accuracy. 
• Development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data.
• Execute data exploration, data engineering, testing and implementation. 
• Development of prototypes for business or research solutions and ensures prototypes meet the organization standards, so that business users may visually understand and explore a new feature or functionality, before implementation, to expose design assumptions and drive ideation. 
• Develop test plans and scripts, preparation of test data, reconciliation of data sources, and execution of functional tests. 
• Mentor and lead other team members in a business technical environment and creates/promotes an environment that supports innovation and process improvement.

Supervisory Responsibilities:

• This job may have supervisory responsibilities.

Job Qualifications

Preferred Qualifications:

Education and Experience

• Bachelor’s degree or equivalent experience
• 8 or more years of related experience

Certificates, Licenses, Registrations

• None

Functional Skills

• Proficient development experience in data projects and knowledge with ability to learn new database technologies
• Advanced engineering, data sourcing, and data management skills
• Advanced programming skills (i.e. Python, R, and SQL) with ability to learn new technologies
• Unix proficiency 
• Ability to extract data and work with various data sources
• Ability to learn and teach new technologies
• Experience in designing and managing the nuances of an array of data sources
• Strong attention to detail
• Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels

Compensation Data

The minimum salary for this position is $103,000. The maximum salary is $140,000. The salary offered will be commensurate with experience. This position is bonus-eligible.

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen