About arenaflex

Welcome to arenaflex, where innovation meets logistics at the intersection of data and technology. As a global leader in transportation, logistics, and supply chain solutions, we process millions of shipments daily—generating enormous volumes of data that drive critical business decisions across our organization. Our Dataworks platform is the backbone of this operation, enabling real-time insights, predictive analytics, and seamless integration across our vast network. At arenaflex, we believe that data is the key to unlocking operational excellence, and we are looking for talented Data Engineers to help us build, optimize, and maintain the pipelines that power our entire ecosystem.

If you are passionate about working with massive-scale data infrastructure, thrive in a collaborative environment, and want to see your code impact a global operation that moves the world, then arenaflex is the place for you. Join our team of world-class engineers and help shape the future of data engineering at one of the most recognizable logistics companies in the world.

Position Overview

We are seeking skilled and motivated Data Engineers to join our Dataworks team at all experience levels. As a Data Engineer at arenaflex, you will play a critical role in designing, building, testing, and maintaining data pipelines that handle massive volumes of information across our global network. You will be responsible for ensuring data quality, optimizing pipeline performance, and supporting the ingestion and transformation of data from multiple sources into our analytical and operational systems.

This role offers an exciting opportunity to work on large-scale distributed systems, collaborate with cross-functional teams including IT professionals, business analysts, software developers, and data scientists, and contribute to solutions that directly impact operational efficiency and customer satisfaction. Whether you are an early-career professional looking to grow your skills or an experienced engineer seeking new challenges, arenaflex provides the environment, resources, and mentorship to help you succeed.

Key Responsibilities

As a Data Engineer at arenaflex, you will be responsible for the following core duties:

Pipeline Development & Maintenance: Design, build, test, and maintain robust data pipelines at massive scale, ensuring high availability, reliability, and performance for batch and streaming data processing.

Data Ingestion & Integration: Support the ingestion and integration of data from multiple internal and external sources, ensuring consistency, accuracy, and timeliness of data flow across the organization.

Data Transformation & Processing: Improve batch processing of collected data, transforming and mapping data to ensure it aligns with storage schemas and is ready for analysis and downstream consumption.

Optimization & Performance Tuning: Keep the data environment and pipelines optimized and efficient by investigating performance bottlenecks, conducting root cause analysis, and implementing improvements.

Technical Support & Issue Resolution: Provide Level 3 support for data-related issues, troubleshooting complex problems, and implementing corrective actions to minimize downtime and data quality issues.

Data Processing Logic Implementation: Implement parsers, validators, transformers, and correlators to reformat, update, and enrich data, ensuring it meets business and technical requirements.

Problem Solving & Innovation: Provide recommendations for highly complex data engineering challenges, demonstrating innovative thinking and domain expertise.

Mentorship & Guidance: Offer guidance and mentorship to junior team members, contributing to their professional development and fostering a culture of continuous learning.

Cross-Functional Collaboration: Act as a "universal translator" between IT, business stakeholders, software developers, and data scientists, bridging the gap between technical and non-technical teams to deliver value.

Code Quality & Best Practices: Participate actively in code reviews and contribute to large-scale engineering solutions, adhering to best practices for reusability, maintainability, and scalability.

Platform Development: Build tools, platforms, and pipelines that enable teams to analyze data clearly and efficiently, build models, and drive data-informed decisions.

Scaling Initiatives: Scale solutions from "computer scale" to "cluster scale," addressing both infrastructure and architectural challenges to support growing data volumes.

Best Practice Development: Plan and document best practices for future reuse, creating open, reusable patterns, templates, and codebases that benefit the broader engineering community.

External Collaboration: Work with senior technologists from across the enterprise and external partners to create integrations and ensure smooth handoffs to downstream operational systems.

Essential Qualifications

To be considered for this role, candidates must meet the following requirements:

Educational Background: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field. Equivalent professional experience may be considered in lieu of formal education.

Technical Foundation: Strong background in software engineering, programming, database systems, and distributed systems architecture.

Data Engineering Experience: Demonstrated experience in building, testing, and maintaining data pipelines at scale.

Programming Proficiency: Hands-on development skills with the ability to work at the code level and troubleshoot complex issues.

Cloud Platform Knowledge: Experience with cloud platforms, particularly Microsoft Azure, and understanding of cloud-based data services.

CI/CD Expertise: Knowledge of and practical experience in building continuous integration and continuous deployment (CI/CD) pipelines.

Real-Time Processing: Experience developing and operationalizing capabilities for near-real-time, high-volume streaming scenarios.

Project Delivery: Proven ability to deliver technical projects, often working under tight deadlines to drive business value.

DevOps Competencies: Familiarity with coding, scripting, databases, YAML, JSON, and Infrastructure as Code (IaC) tools such as Terraform.

Distributed Team Collaboration: Comfort with working in distributed teams on code-based deliverables, utilizing version control systems and participating in code review processes.

Preferred Skills & Experience

Candidates with the following additional skills and experience will be highly valued:

Logistics & Transportation Domain Knowledge: Strong understanding of the transportation and logistics industry, with the ability to identify high-opportunity areas and design approaches that generate and capture value.

Big Data Technologies: Demonstrated expertise working with big data tools and frameworks, including:
- Apache Spark (Scala and PySpark)
- Hadoop Distributed File System (HDFS)
- Apache Kafka and other high-volume streaming tools

Database Technologies: Experience with both SQL and NoSQL storage systems, such as MySQL, PostgreSQL, Cassandra, MongoDB, and ElasticSearch.

Data Science Tools: Familiarity with Python data tools and libraries, including Pandas, Scikit-Learn, Matplotlib, TensorFlow, and Jupyter notebooks.

Engineering Mindset: An "engineering" mindset characterized by the ability to make rapid, practical decisions to improve performance and accelerate progress.

Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.

Career Growth & Development Opportunities

At arenaflex, we are committed to the professional growth and development of our employees. As a Data Engineer on our Dataworks team, you will have access to numerous opportunities to advance your career:

Technical Leadership Paths: Progress into senior and principal engineer roles, leading architectural decisions and mentoring junior team members.

Specialization Tracks: Focus on specialized areas such as real-time streaming, data governance, machine learning operations, or cloud architecture.

Cross-Functional Exposure: Gain experience working alongside business analysts, data scientists, and product managers, broadening your understanding of how data drives business value.

Training & Certification: Access to comprehensive training programs, certifications, and conference attendance to stay current with emerging technologies and industry best practices.

Innovation Labs: Opportunity to participate in hackathons, proof-of-concept projects, and innovation initiatives that explore new technologies and approaches.

Global Impact: Work on projects that have enterprise-wide impact, contributing to solutions that serve millions of customers and thousands of employees globally.

Work Environment & Culture

arenaflex fosters a collaborative, inclusive, and innovation-driven work environment where every team member is valued and empowered to make an impact. Our culture is built on the following core principles:

Teamwork & Collaboration: We believe that the best solutions come from diverse teams working together, and we encourage open communication, knowledge sharing, and mutual support.

Innovation & Excellence: We embrace new technologies and creative approaches to solve complex problems, constantly pushing the boundaries of what is possible.

Work-Life Balance: We offer flexible work arrangements, including remote and hybrid options, to support your well-being and productivity.

Continuous Learning: We encourage curiosity and lifelong learning, providing resources and time for professional development.

Inclusivity & Diversity: We are committed to building a diverse workforce where different perspectives and experiences are celebrated and leveraged for innovation.

Compensation & Benefits

arenaflex offers a competitive compensation package designed to attract, retain, and reward talented professionals. In addition to a base salary of $28 per hour for this position, we provide a comprehensive benefits package that includes:

Health & Wellness: Medical, dental, and vision insurance, along with wellness programs and resources to support your physical and mental health.

Retirement Plans: 401(k) retirement savings plan with company matching contributions to help you build a secure financial future.

Paid Time Off: Generous paid time off, including vacation, sick leave, and holidays, allowing you to recharge and maintain work-life balance.

Professional Development: Tuition reimbursement, certification support, and access to online learning platforms to enhance your skills and career growth.

Employee Assistance Program: Confidential counseling and support services for personal and professional challenges.

Discounts & Perks: Employee discounts on shipping services, travel, entertainment, and more.

How to Apply

If you are ready to take the next step in your data engineering career and join a team that is transforming the way the world moves information, we encourage you to apply today. At arenaflex, you will work on meaningful projects, collaborate with brilliant colleagues, and make a lasting impact on a global scale.

To apply for this position, please submit your resume and cover letter through our online application portal. We welcome candidates of all backgrounds and experiences to apply and are committed to creating an inclusive hiring process.

Join arenaflex and help us build the data infrastructure that powers the future of logistics!

Data Engineer – All Levels | Building, Testing & Maintaining Enterprise Data Pipelines at Scale | arenaflex