Data Engineer – Data Engineering & Analytics Platform Development (Big Data, Cloud & ETL Solutions)

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About arenaflex

Welcome to arenaflex, where innovation meets impact. As the world's leading retailer, we are transforming the way millions of customers shop, save, and live better every day. Our commitment to affordable pricing, exceptional service, and technological innovation has made us a household name across the globe. But we're not just stopping there—at arenaflex, we are reimagining the future of retail through cutting-edge technology and data-driven solutions that touch the lives of billions.

Imagine working for a company where one line of code can make life easier for millions of people around the world. That's exactly what we do at arenaflex Global Tech. We are a team of passionate programmers, data scientists, cybersecurity experts, and technology leaders who are driving the next retail revolution. Our mission is to leverage technology to create seamless, personalized experiences for our customers while empowering our associates to achieve their full potential.

At arenaflex, we believe that people are the heart of our innovation. We are human-driven and tech-engaged, continuously training our team in the skills of the future and bringing in experts like you to help us grow. Whether you're just starting your career or looking for an opportunity that will define your professional journey, arenaflex offers a launchpad for extraordinary achievements in technology.

About Data Ventures Team

Join our Data Ventures team—a dynamic group of innovators dedicated to transforming raw data into actionable intelligence that shapes the future of retail. Our team builds reusable technologies that power customer acquisition, seamless onboarding, and dealer enablement while ensuring exceptional experiences for both partners and customers.

At Data Ventures, we embody arenaflex's Everyday Low Cost philosophy by creating affordable solutions without compromising on quality. We deliver customized experiences across all channels—in-store, mobile applications, and e-commerce websites. Our team is specifically responsible for supporting US Marketplace dealers, focusing on providing rapid solutions to tickets and inquiries submitted by our merchant partners. We collaborate across multiple departments within the organization to deliver an outstanding merchant experience that keeps our marketplace thriving.

What You'll Do

Are you ready to dive into one of the most extensive data ecosystems in the world? As a Data Engineer at arenaflex, you will play a pivotal role in designing and maintaining information systems that tackle dynamic challenges shaping the future of retail. With the sheer scale of arenaflex's operations comes access to extraordinarily rich datasets—your work here will unlock the power of retail data science.

As a member of our Data Engineering team, you will be responsible for envisioning, creating, and maintaining robust data pipelines that our Data Scientists and Analysts can rely on daily. You'll contribute to a coordination layer of complex data transformations, refining raw data from various sources into targeted, valuable data assets ready for meaningful analysis.

Data Transformation and Integration

• Extract and analyze data from identified databases with precision and attention to detail


• Create efficient data pipelines and transform data structures relevant to specific business problems by selecting appropriate methodologies


• Stay current with emerging data analysis trends and technologies


• Develop scalable solutions for high-volume data processing

Data Source Identification

• Support understanding of requirement specifications and service level agreements


• Identify the most suitable data sources that serve business purposes effectively


• Perform initial data quality checks on extracted information


• Evaluate source system reliability and recommend improvements

Data Modeling

• Analyze complex data elements, systems, data flows, relationships, and dependencies to contribute to conceptual, physical, and logical data models


• Develop Logical Data Models and Physical Data Models including data warehouse and data lake architectures


• Define database tables, primary and foreign keys, and stored procedures to create robust data model architectures


• Evaluate existing data models and physical databases for variances and inconsistencies


• Design efficient data flow architectures and optimize data processing performance


• Investigate data-related system integration challenges and propose appropriate solutions

Code Development and Testing

• Write code to develop required solutions and application features by selecting appropriate programming languages and leveraging business, technical, and data requirements


• Create test cases to review and validate proposed solution designs


• Develop proofs of concept to validate technical approaches


• Test code using appropriate testing methodologies and frameworks


• Deploy software to production environments with minimal downtime


• Contribute to code documentation, maintain operational playbooks, and provide timely development updates

Applied Business Acumen

• Provide strategic recommendations to business partners to address complex business challenges


• Develop business cases for projects with projected return on investment or cost savings


• Translate business requirements into actionable tasks, activities, and milestones while adapting to overall business strategies


• Deliver solutions with tangible results that drive measurable business impact


• Suggest new processes and approaches to enhance operational efficiency

Data Governance

• Establish, adjust, and report on data governance activities and recommendations


• Implement data governance practices in collaboration with business partners and peers


• Interpret corporate and regulatory policies on data management


• Educate others on data governance processes, practices, methodologies, and standards


• Provide recommendations for necessary updates or contributions to data governance policies

Leadership and Mentorship

• Demonstrate exceptional expertise and apply this to the development, execution, and improvement of operational plans by providing expert advice and guidance to others


• Support and adapt efforts to meet client and business needs while building commitment for perspectives and reasoning


• Facilitate and support the execution of business solutions by building relationships with key stakeholders


• Identify business needs and implement essential processes and practices


• Promote and support organization policies, procedures, mission, values, and standards of ethics and integrity through training and guidance


• Ensure business needs are met by evaluating ongoing effectiveness of current plans and initiatives


• Create training documentation and train end-users on data modeling techniques


• Supervise tasks of less experienced programmers and provide system troubleshooting support

What You'll Bring

We're looking for passionate data professionals who thrive on solving complex problems and are excited about making an impact at scale. Here's what we need from you:

Minimum Requirements

• Technical Proficiency: Hands-on experience with Hadoop, Spark, Cloud platforms, Python/PySpark, and Java


• Streaming & Backend: Knowledge of streaming technologies and backend development


• Programming Skills: Proven track record coding with at least one programming language such as Scala or Python


• Cloud Platform Expertise: Proficiency in at least one major cloud computing platform such as GCP (Google Cloud Platform) or Microsoft Azure


• Data Modeling: Strong skills in data modeling and data migration protocols


• Big Data Solutions: Experience building highly scalable Big Data solutions and ETL ecosystems


• Integration Tools: Experience with integration tools such as Automic or Wind Flow


• Data Warehousing: Experience with data warehousing and Business Intelligence (BI) tools


• Educational Background: Bachelor's degree in Computer Science or a related field

Preferred Qualifications

• Databricks Knowledge: Familiarity with Databricks is a significant advantage


• NoSQL Experience: Hands-on experience with NoSQL databases like Cosmos DB, along with RDBMS such as MySQL or PostgreSQL


• Messaging Platforms: Hands-on working experience with messaging platforms like Kafka


• Process Improvement: Ability to increase team efficiency by improving cycles of Software Development, Requirement Gathering, and Effort Estimation


• Analytical Thinking: Strong creative problem-solving and troubleshooting abilities


• Advanced Education: Master's degree in Computer Science or related field


• Industry Experience: 2+ years of professional experience in data engineering, database engineering, business intelligence, or business analysis

Skills and Competencies

To excel in this role, you'll need a combination of technical expertise and soft skills that enable you to collaborate effectively across teams while delivering high-quality solutions:

• Technical Excellence: Deep understanding of big data architectures, ETL processes, and data pipeline development


• Problem-Solving: Ability to tackle complex challenges with innovative solutions


• Communication: Strong written and verbal communication skills to articulate technical concepts to non-technical stakeholders


• Collaboration: Experience working effectively with Data Scientists, Analysts, other engineers, and business partners


• Adaptability: Comfortable working in fast-paced environments with evolving requirements


• Attention to Detail: Meticulous approach to data quality and code accuracy


• Self-Motivation: Ability to take ownership of projects and drive them to completion

Career Growth and Development

At arenaflex, your career trajectory is limited only by your ambition. We invest heavily in the growth and development of our team members through numerous opportunities:

• Skill Development: Access to comprehensive training programs in the latest technologies and methodologies


• Career Advancement: Clear pathways for promotion and leadership roles within the organization


• Cross-Functional Exposure: Opportunities to work with different teams and business units across the organization


• Industry Exposure: Work with cutting-edge technology and massive datasets that span the entire retail ecosystem


• Certification Support: Financial support for professional certifications in cloud platforms, data engineering, and related fields


• Mentorship Programs: Both receive guidance from senior engineers and mentor junior team members

Work Environment and Culture

At arenaflex, we believe in the power of collaboration and flexibility. Our hybrid work approach combines the best of both worlds—primarily in-office work complemented by virtual flexibility when not on-site. Our campuses serve as hubs for collaboration, bringing together teams for meaningful work and purpose-driven initiatives.

This approach helps us make faster decisions, eliminate location barriers across our global team, and provide flexibility in our personal lives. We foster an inclusive environment where diverse perspectives are valued, and every team member has the opportunity to contribute to our shared success.

Our culture is built on integrity, customer focus, and continuous improvement. We believe in treating each other with respect, pursuing excellence in everything we do, and making a positive impact on the communities we serve.

Compensation and Benefits

We recognize that our people are our most valuable asset. That's why we offer a comprehensive compensation package designed to support your wellbeing and reward your contributions:

• Competitive Salary: Attractive compensation package commensurate with experience and skills


• Performance Bonuses: Recognition grants and incentives for exceptional performance


• Retirement Savings: 401(k) matching program to help you plan for the future


• Stock Purchase Plan: Opportunity to own part of the company through our stock purchase program


• Paid Time Off: Generous PTO policy including vacation, sick leave, and personal days


• Parental Leave: Paid maternity and paternity leave for growing families


• Health Benefits: Comprehensive health, dental, and vision insurance plans


• Wellness Programs: Access to wellness resources and employee assistance programs


• Additional Perks: Various discounts on arenaflex products and services

Equal Opportunity Employer

arenaflex, Inc. is an Equal Opportunity Employer—by choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing diversity—including unique styles, experiences, identities, ideas, and opinions—while being inclusive of all people.

We are committed to creating a diverse and inclusive workplace where everyone has the opportunity to succeed and contribute to our mission of helping people save money so they can live better.

Join Our Team

Are you ready to make an impact? At arenaflex, your work has meaning every single day. You'll be part of a team that's shaping the future of retail, working with cutting-edge technology, and making a difference in the lives of millions of customers worldwide.

This is more than just a job—it's an opportunity to grow your career, develop new skills, and be part of something truly meaningful. If you're passionate about data, technology, and making an impact, we encourage you to apply and join our team.

Don't miss this chance to advance your career with one of the world's most innovative companies. Apply today and become part of the arenaflex family!

Note: The above information has been designed to demonstrate the general nature and level of work performed in the role. It is not intended to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications expected of employees assigned to this role.