Data Engineer

Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.

Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.

Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.

Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.

Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data.

Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets.

Works cross-functionally with different departments to assess, define, and develop report deliverables.

Represents the software data engineering team for all phases of larger and more-complex development projects.

Provides guidance and mentoring to less experienced staff members.

Education & Experience Recommended

Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.

Typically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.

Proven Out of the box thinking abilities.

Collaborative spirit with a growth & innovative mindset.