Job Description

Are you a passionate IT trailblazer – a growth-focused, problem-solver who takes full ownership of your work, wants to collaborate & co-create with fellow IT experts, innovate, learn new skills, create new solutions & drive your career to the pinnacle of your potential? If so, you will love working with our Sales Team – we are constantly innovating to create breakthrough solutions for our client’s growth through a vibrant, fun team culture.

Featured in CNBC, Digital Journal, Fox News & CIO Review, GBSI has been successfully serving the world’s top Fortune 500 organizations for the last 20+ years. GBSI IT teams and consultants have delivered more than 568 projects successfully within the automotive, manufacturing, retail & pharmaceutical domains across the world. Headquartered in Moline, IL, GBSI’s clients and consultants are spread across the US, Canada, Europe & India. Join us to be a part of an ever-growing, elite IT team & start building your dream career today!

To be a successful Sr. Data Engineer you will embody GBSI's core employee characteristics of being passionate about IT, taking full ownership of your work & having a growth mindset. Additionally, you will exhibit strategic vision, thoughtful engagement, strong analytical/process skills, a bias for action, and the ability to partner with senior operational leaders.

As a Sr. Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization. You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset. Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques.

Key Responsibilities

• Provide Technical Leadership: Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges.

• Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.

• Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.

• Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, Big Query ML, and custom Python libraries.

• Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.

• Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments.

• Mentor Team Members: Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities.

• Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.

• Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions

Location - Schaumburg, Illinois

Equal Employment Opportunity Statement

GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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