Senior Data & BI Engineer

Total System Services; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading payment solutions company is seeking a Senior Data & BI Engineer to shape data architecture and analytics strategies. The role involves developing scalable data pipelines, optimizing SQL queries, and collaborating with cross-functional teams to drive data-driven decisions. Candidates should have experience in Python and cloud platforms, particularly Google BigQuery, along with a strong understanding of data governance and BI tools like Looker.

Qualifications

• Minimum of 5 years experience in data engineering or related role.
• Strong proficiency in SQL including advanced optimization techniques.
• Extensive experience with Python for data manipulation.

Responsibilities

• Lead the implementation of secure and scalable data pipelines.
• Develop complex SQL queries for data analysis.
• Integrate BigQuery for large-scale data analytics.

Skills

Programming languages proficiency

SQL

Python

Cloud-based data platforms

Looker or similar BI tools

Data governance

Collaboration with stakeholders

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Google BigQuery

Looker

ETL processes

Job description

Overview

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

Job Description

As a Senior Data & BI Engineer at Como, you will be pivotal in shaping the data architecture and analytics strategies that drive critical business decisions. You will lead the development and maintenance of scalable, efficient data pipelines and ensure the accuracy, accessibility, and security of our data. Your ability to collaborate with cross-functional teams and mentor junior team members will be key to fostering a data-driven culture.

Key Responsibilities

• Lead the design, implementation, and optimization of efficient, secure, and scalable data pipelines.
• Develop and refine complex SQL queries for data analysis, ensuring performance optimization.
• Integrate BigQuery for handling large-scale data analytics and cloud services.
• Utilize Python and other programming languages to automate data processes and ensure seamless data manipulation.
• Partner with business stakeholders to understand data needs, providing strategic insights and data-driven solutions.
• Develop, optimize, and maintain Looker dashboards to provide clear, actionable business insights.
• Implement data governance standards to ensure data accuracy, security, and compliance with industry regulations.
• Mentor and guide junior data engineers and analysts, fostering a collaborative and innovative team environment.

Requirements

• Proficiency in relevant programming languages is essential
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role, with a proven track record of success in managing complex data environments.
• Strong proficiency in SQL, including advanced query optimization techniques.
• Extensive experience with Python for data manipulation and automation tasks.
• Deep expertise in cloud-based data platforms, especially Google BigQuery.
• Proficient with Looker or similar BI tools for building and optimizing dashboards.
• Strong understanding of data governance, security, and compliance best practices.
• Demonstrated ability to collaborate with senior leadership to drive data strategies.
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.

Preferred Skills

• Proven experience in a SaaS environment managing large-scale data sets.
• Expertise in data modeling and ETL processes.
• Experience in architecting and managing data warehouses.
• Familiarity with additional programming languages or advanced analytics tools (e.g., R, Spark, etc.) is a plus.
• Proficiency in Data Science disciplines and hands-on experience with LLM Engines implementation within different processes and services.
• Previous leadership or mentorship experience within data engineering teams.

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact [e-mail].