Data Engineer I

Shoptikal, LLC•Green Bay, WI

9d•Onsite

About The Position

Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals, contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders.

Requirements

Bachelor’s degree in computer science, data engineering, information systems, or related field or equivalent experience
1 - 2 years of experience in data engineering, software development or related roles
Experience using Python, Java, or Scala for data processing (Python preferred)
Familiar with data-related Python packages (pandas, NumPy)
Basic understanding of SQL and relational databases
Basic knowledge of version control systems (Git)
Able to take direction, prioritize work, and manage multiple activities simultaneously
Excellent communication skills
Able to work independently and as part of a team
Willing to share knowledge and experience with other members of the team
Strong analytical and problem-solving skills
Attention to detail and commitment to data quality
Solid planning and organizational skills
Proficiency with Microsoft Office Suite of programs
Ability to effectively communicate at all levels within the organization through written and two-way verbal communication
Able to read and write at a high school graduate level
Able to sit or stand for extended periods of time
Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)
Able to lift 10 to 20 pounds
Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines
Able to travel independently to support Company objectives and personal development

Nice To Haves

Understanding of data modeling fundamentals preferred
Knowledge of Linux/UNIX operating systems preferred
Exposure to cloud platforms (AWS, Azure,or Google Cloud Platform)

Responsibilities

Assist in building and maintaining data pipelines from internal databases and SaaS applications
Support the development of ETL (Extract, Transform, Load) processes
Assist in implementing data validation and quality checks to ensure accuracy and consistency
Write clean, documented, and maintainable code following established standards
Assist in maintaining databases, data warehouses, and data lake components
Support the configuration and monitoring of data infrastructure
Assist in troubleshooting basic data processing issues and escalate complex problems
Participate in code reviews and incorporate feedback from senior engineers
Assist with integrations from various data sources into the data ecosystem
Assist in maintaining connections with internal and external APIs
Support data ingestion processes for structured and unstructured data
Document integration processes and data flow for transparency and standardization
Create and maintain systems and process documentation
Collaborate with various engineers and analysts to support their work
Participate in team meetings and contribute to planning discussions
Actively seek out learning opportunities and keep up with advancements in data engineering practices