Experienced Data Engineer – Large-Scale Data Pipeline Development, Cloud Architecture & Business Intelligence

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About arenaflex

Welcome to arenaflex – a global leader in logistics, transportation, and supply chain solutions that connects people and possibilities across the world. At arenaflex, we believe that data is the backbone of modern logistics, driving innovation and enabling smarter decisions that keep the world moving. Our Dataworks division is at the forefront of transforming how we harness data to deliver exceptional services to millions of customers worldwide.

As part of our continued growth and commitment to technological excellence, we are seeking talented Data Engineers to join our dynamic team. If you're passionate about building robust data infrastructure, working with cutting-edge technologies, and making a real impact in the logistics industry, arenaflex is the place for you.

Position Overview

We are looking for experienced Data Engineers at all levels to design, build, test, and maintain highly scalable data pipelines that process massive volumes of information. In this role, you will be instrumental in supporting our data infrastructure, ensuring data quality, and enabling advanced analytics that drive business decisions across the organization.

This is a remote position offering competitive compensation of $28/hour with full-time hours, based in Washington, USA. Join arenaflex and be part of a team that values innovation, collaboration, and professional growth.

Key Responsibilities

As a Data Engineer at arenaflex, you will play a critical role in our Dataworks division, focusing on creating and driving engineering innovation while delivering key business initiatives. Your responsibilities will include:

• Data Pipeline Development: Design, build, test, and maintain robust data pipelines capable of processing data at massive scale, ensuring reliability and performance.


• Data Ingestion & Integration: Support the ingestion of data from multiple internal and external sources, ensuring seamless integration into our data ecosystem.


• Data Processing & Transformation: Handle batch processing of collected data, ensuring proper formatting and alignment with stored data structures. Transform raw data into actionable insights.


• Pipeline Optimization: Work to optimize and enhance our data environment and pipelines for maximum efficiency, investigating performance bottlenecks and providing Level 3 support.


• Data Validation & Enhancement: Implement parsers, validators, transformers, and correlators to reformat, update, and enrich data for downstream applications.


• Technical Leadership: Provide guidance to junior team members and collaborate on resolving complex technical issues.


• Cross-Functional Collaboration: Act as a "universal translator" between IT, business stakeholders, developers, and data scientists to deliver value-driven solutions.


• Code Quality & Reviews: Participate actively in code reviews and contribute to large-scale architectural decisions.

Core Work Duties and Obligations

Your day-to-day responsibilities will involve working on aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets. Key duties include:

• Developing a deep understanding of both the business and technical challenges that Dataworks aims to solve


• Building tools, platforms, and pipelines that enable teams to analyze data clearly and efficiently, build models, and drive data-informed decisions


• Scaling solutions from "computer scale" to "cluster scale" issues, addressing both infrastructure and problem structure


• Collaborating across teams to generate data-driven operational insights that lead to high-value optimized solutions


• Delivering tangible value quickly while working with diverse teams of varying backgrounds and disciplines


• Establishing best practices for future reuse through open, reusable patterns, templates, and code bases


• Partnering with senior technologists from across the organization and external partners to ensure smooth integration with downstream systems

Essential Qualifications

To succeed in this role, you must have:

• Educational Background: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related technical field


• Technical Foundation: Strong background in software engineering, database systems, and distributed computing architectures


• Data Engineering Experience: Proven experience in building and maintaining data pipelines at scale


• Programming Skills: Proficiency in at least one programming language used for data processing (Python, Scala, or Java)


• Cloud Platform Knowledge: Familiarity with cloud platforms, particularly Microsoft Azure


• Version Control: Comfortable working with version control systems and participating in code reviews


• Problem-Solving Mindset: An "engineering" mindset with the ability to make quick, pragmatic decisions to improve performance and accelerate progress

Preferred Skills & Knowledge

While not required, the following skills and experience would be highly advantageous:

• Industry Expertise: Understanding of the transportation and logistics domain with the ability to identify high-opportunity areas and design approaches that generate value


• Cloud & Big Data Technologies: Experience with Microsoft Azure, Apache Spark (Scala and PySpark), HDFS, Kafka, and other high-volume data tools


• CI/CD Pipeline Development: Knowledge of and hands-on experience building continuous integration and continuous deployment pipelines


• Real-Time Processing: Experience developing and operationalizing capabilities including near-real-time high-volume streaming scenarios


• Database Technologies: Proficiency with SQL and NoSQL storage systems such as MySQL, PostgreSQL, Cassandra, MongoDB, and Elasticsearch


• Data Science Tools: Familiarity with Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter, and other Python data tools


• DevOps Expertise: Knowledge of coding, scripting, database management, YAML, JSON, and Infrastructure as Code (Terraform)


• Project Delivery: Demonstrated ability to deliver technical projects, often working under tight deadlines to drive value


• Distributed Team Collaboration: Experience working with distributed teams on code-based initiatives

Skills & Competencies Required for Success

Beyond technical qualifications, we look for candidates who demonstrate:

• Analytical Thinking: Ability to break down complex problems and develop innovative solutions


• Communication Skills: Excellent verbal and written communication to collaborate effectively across technical and business teams


• Adaptability: Comfortable working in a fast-paced, evolving environment with changing requirements


• Initiative: Self-motivated with the ability to take ownership of projects and drive them to completion


• Team Player: Ability to work collaboratively with colleagues at all levels and across different disciplines


• Attention to Detail: Commitment to data quality and accuracy in all deliverables

Career Growth Opportunities

At arenaflex, we are committed to helping our employees grow and advance in their careers. As a Data Engineer, you will have access to:

• Professional Development: Continuous learning opportunities through training programs, certifications, and workshops


• Career Advancement: Clear pathways for progression to senior technical roles, team lead positions, and specialized tracks


• Mentorship: Access to experienced mentors who can guide your technical and professional development


• Cross-Functional Exposure: Opportunities to work on diverse projects across different business units


• Industry Recognition: chances to contribute to innovative solutions that shape the future of logistics

Work Environment & Culture

arenaflex fosters a collaborative, inclusive, and innovation-driven work environment. Here's what you can expect:

• Remote Work Flexibility: Enjoy the convenience of working from home while staying connected with your team


• Inclusive Culture: Be part of a diverse team that values different perspectives and experiences


• Innovation Focus: Encourage creativity and new ideas that drive technological advancement


• Work-Life Balance: Support for maintaining a healthy balance between professional and personal life


• Team Collaboration: Regular team meetings, knowledge-sharing sessions, and cross-functional projects

Compensation & Benefits

arenaflex offers a competitive compensation package designed to recognize your skills and contributions:

• Hourly Rate: $28/hour with opportunities for performance-based increases


• Employment Type: Full-time position with standard 8-hour workdays


• Health Benefits: Comprehensive medical, dental, and vision insurance for you and your family


• Retirement Plans: 401(k) retirement savings plan with company matching contributions


• Paid Time Off: Generous paid vacation days, holidays, and sick leave


• Life & Disability Insurance: Coverage to protect you and your family


• Employee Assistance Program: Confidential counseling and support services


• Educational Assistance: Tuition reimbursement for continuing education and professional development


• Employee Discounts: Discounts on arenaflex services and products


• Wellness Programs: Access to health initiatives, fitness resources, and wellness incentives


• Career Development: Clear pathways for growth and advancement within the organization

Why Join arenaflex?

arenaflex is more than just a company – it's a global network committed to connecting people and possibilities. By joining our team, you become part of an organization that:

• Operates in over 220 countries and territories worldwide


• Handles millions of shipments daily with excellence and reliability


• Leads the industry in technological innovation and supply chain solutions


• Values its employees as its greatest asset


• Promotes diversity, inclusion, and sustainability

As a Data Engineer at arenaflex, you'll have the opportunity to work on challenging projects that make a real impact on how we serve our customers and keep the world connected.

How to Apply

If you're ready to take the next step in your career and join a team that's shaping the future of logistics through data and technology, we encourage you to apply today!

To apply for this position, please submit your resume and cover letter through our candidate portal. Our hiring team will review your application and reach out to qualified candidates for further discussion.

Note: The specific benefits and compensation details may vary based on location, job level, and employment status. Please consult with our HR department during the hiring process for the most up-to-date information.

We look forward to welcoming you to the arenaflex team!