Lead Data Engineer

Description

Construct data pipelines and tools that provide trusted and easy access to make effective data driven decisions by the enterprise. Brings strong analytical skills and intellectual curiosity to understand business context, strategy and outcomes in engineering highly trusted data & analytics solutions. Design, build and deploy data solutions that use data to support business intelligence, data intensive applications, AI and ML. Ensures execution excellence through providing technical / solution leadership, and developing and mentoring technical skills on the team.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

Design Complex data solutions.

Act as subject matter expert within functional area and educate consumers on data solutions.

Build and operationalize Complex highly trusted and utilized data solutions.

Develop for unit, functional, integrated and regression tests to ensure quality.

Design and develop code, scripts and data pipelines that leverage structured and unstructured data integrated from multiple sources.

Develop product deliverable documentation.

Collaborate with agile team members to meet deadlines.

Incorporate core architectural, data management, governance, security and quality practices and standards.

Mentor, develop & grow talent.

EDUCATION AND EXPERIENCE

Relevant combination of education and experience may be considered in lieu of degree.

Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field; OR equivalent training with data technology, processes or solutions.

4 years of data engineering or equivalent experience.

Working with data in an insurance environment is preferred.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

OTHER SKILLS AND ABILITIES

Intermediate communication

Intermediate relationship building

Intermediate problem solving skills

Working knowledge influence

Working knowledge change management

Basic strategy development

Advanced Execution Excellence

Intermediate knowledge of SQL

Intermediate knowledge of relational database systems (Oracle or SQL) 2 Last Updated: 1/3/2024 10. Intermediate knowledge of ETL tools and processes

Basic familiarity with advanced statistical concepts

Strong working knowledge of DevOps fundamentals (build, release, test, monitor)

Proficient knowledge of BI / Dashboards tools such as PowerBI

Intermediate knowledge of R, Python and SSRS preferred

Intermediate knowledge of Big Data platforms such as Hadoop and DataBricks preferred

Familiarity or exposure to Java and .Net preferred

Intermediate knowledge of Cloud Data Platforms such as Snowflake preferred

Strong project management experience

Agile experience preferred

ADDITIONAL INFORMATION

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment.

WORKING CONDITIONS:

Work is performed in an office setting with no unusual hazards.

PAY RANGE

Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $92,200 and $154,500.

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