Data Engineer III

Summary

This role applies an advanced level of subject matter knowledge to solve a variety of common and complex business issues. Works on problems/projects of diverse complexity and scope, which may require in-depth evaluation of multiple data and technology disciplines. Utilizes professional concepts and theoretical knowledge acquired through specialized training, education or previous experience. Exercises independent judgment within general to broadly defined parameters or practices to determine appropriate action. Develops expertise and practical knowledge of applications within business environment. May act as a project leader providing expertise or direction for solution development. Handles most unique situations independently and has awareness of when to seek advice to make decisions on complex business or technical issues. Acts as an informed team member by providing information, analysis and recommendations in support of team efforts. Evaluates unique circumstances and makes recommendations. Provides mentoring and guidance to team members with less experience. Frequently represents the organization to external customers / clients.

Why This Role is Exciting
 

• Work with Leading Tools: Get hands-on experience with Azure Data Factory and Databricks for data processing. Source and structure raw information to help data scientists solve complex business problems

• Expand Your Expertise: Grow your knowledge in high-demand areas like DevOps automation, cloud platforms, and advanced data analytics.

• Join an Innovative Team: The Data Science team has delivered innovations recognized across the company and is poised to deliver more.

Key Responsibilities

• Participates as a member of a data engineering team; mentors and guides other engineers.

• Performs analysis of technical requirements of high complexity.

• Designs and develops solutions of high complexity.

• Completes technical work individually or through/with other data engineers.

• Leads design and outcome reviews.

• Designs, prepares and executes manual and/or automated test plans and scripts.

• Applies in-depth or broad technical knowledge of data engineering to provide maintenance and support of solutions across multiple areas.

• Represents team to leadership, business, and technical partners.

• Demonstrates technical leadership and exerts influence beyond immediate team.

• Develops innovative architectural solutions to complex problems.

• Integrates technical expertise and business understanding to create superior solutions for company and customers.

• Manages work completed by Vendors for specific initiatives.

Typical Education

Bachelor's Degree (B.A. or B.S.) from 4 year college or university

Relevant Experience

• 5+ years data engineering experience and/or training

• Advanced understanding of data engineering, filling the role of Subject Matter Expert (SME), and owning issue escalations of the highest complexity.

• Proficient in one or more programming languages such as Python or SQL.

• Experience with Azure DevOps, Databricks, SQL, and Data Modeling.• Strong verbal and written communication skills, contributing to team design activities and documentation.

• Can apply critical thinking skills to solving problems and a strong technical aptitude.

• Experience in data collection from sensors and monitoring systems installed on industrial machinery within a manufacturing facility is ideal but not required.

• Experience delivering data solutions through agile software development methodologies is ideal but not required.

• Experience with infrastructure as code such as Terraform is ideal but not required.