Remote Data Engineering Specialist – Big Data Pipeline Development & Cloud Infrastructure | $25/Hour

Join arenaflex: Build the Future of Data-Driven Logistics from Anywhere

Are you a passionate data engineering professional seeking a fully remote opportunity where your technical expertise directly powers business transformation? arenaflex is looking for a Remote Data Engineering Specialist – Big Data Pipeline Development & Cloud Infrastructure to join our dynamic, forward-thinking technology team. This is more than a job — it's a chance to architect the data backbone of one of the most influential logistics and operations ecosystems in the world, all while working from the comfort of your home in New York or anywhere else with a reliable internet connection.

At arenaflex, we believe data is the new infrastructure of modern business. Our Dataworks division sits at the intersection of advanced engineering, cloud computing, and operational intelligence, building platforms that transform raw information into actionable insights. We are searching for an engineer who thrives on complexity, embraces distributed systems, and is excited by the challenge of scaling data solutions from concept to enterprise-level deployment.

About arenaflex and the Dataworks Division

arenaflex is a leading innovator in the logistics, transportation, and operations technology space. Our commitment to engineering excellence has positioned us as a trusted partner for businesses seeking intelligent, data-driven solutions. Within arenaflex, the Dataworks division serves as the engine room of our analytics and intelligence capabilities. Data engineers within Dataworks function as "universal translators" — bridging the gap between IT infrastructure, business strategy, applied research, and data science teams. We collaborate across multi-disciplinary groups to deliver high-value outcomes, ensuring that data assets flow seamlessly to internal stakeholders and external data products alike.

Our culture prizes engineering rigor, intellectual curiosity, and pragmatic problem-solving. We are not just maintaining systems; we are building the future of how data is ingested, transformed, and operationalized at scale. If you are ready to contribute to a culture that values both innovation and execution, arenaflex is where your career can flourish.

Key Responsibilities

As a Remote Data Engineering Specialist at arenaflex, your day-to-day work will involve designing, building, testing, and maintaining robust data pipelines capable of handling large-scale, high-volume data flows. Your responsibilities will include, but are not limited to:

• Pipeline Architecture and Maintenance: Supporting the design, construction, testing, and ongoing maintenance of data pipelines operating at massive scale, ensuring reliability, efficiency, and fault tolerance.
• Data Integration: Helping to update and integrate data from numerous heterogeneous sources into unified, accessible systems.
• Data Processing and Alignment: Working on group processing of collected data, matching its schema to stored data structures, and ensuring that data is properly prepared for processing and analysis.
• Ecosystem Optimization: Assisting in keeping the data ecosystem and pipelines optimized, efficient, and scalable, while investigating standard performance issues and providing Level 3 support for complex data-related challenges.
• Data Transformation Engineering: Implementing parsers, validators, transformers, and correlators to reformat, update, and enhance data quality across the platform.
• Strategic Recommendations: Providing recommendations on highly complex technical issues, offering guidance to less senior team members, and contributing to architectural decisions.
• Cross-Functional Collaboration: Engaging in code reviews, large-scale deployments, and partnering with business analysts, data scientists, and IT teams to deliver tangible value quickly.
• Best Practice Development: Classifying best practices for future reuse as open, reusable patterns, templates, and code bases that accelerate delivery across the organization.
• Stakeholder Engagement: Interfacing with senior technologists across the broader enterprise and partner ecosystems to create synergies and ensure smooth integrations with downstream operational systems.

Essential Qualifications

• Educational Background: A Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical discipline.
• Technical Foundation: Solid grounding in computer science, programming, database systems, and distributed computing concepts.
• Cloud Experience: Demonstrated development experience and working knowledge of Microsoft Azure cloud services and infrastructure.
• CI/CD Pipelines: Hands-on experience building and maintaining Continuous Integration and Continuous Deployment pipelines.
• Streaming and High-Volume Systems: Experience developing and operationalizing capabilities in near real-time, high-volume streaming environments.
• Code-Level Proficiency: Hands-on development skills with the ability to work at the code level and assist in debugging hard-to-resolve issues.
• Delivery Under Pressure: Proven ability to deliver complex technical projects, often working under tight time constraints to deliver measurable value.
• Engineering Mindset: A pragmatic "engineering" mentality — someone who can make fast, realistic decisions to improve performance and accelerate progress.
• Distributed Team Comfort: Comfort working with distributed teams on code-based deliverables, utilizing version control systems and participating in rigorous code reviews.

Preferred Skills and Competencies

• DevOps Expertise: Deep knowledge of DevOps practices, including coding, scripting, databases, YAML, JSON, and Infrastructure as Code (IaC) tools such as Terraform.
• Big Data Technologies: Demonstrated proficiency with Spark (Scala and PySpark), HDFS, Kafka, and other high-volume data processing tools.
• Database Proficiency: Strong experience with both SQL and NoSQL storage solutions, including MySQL, PostgreSQL, Cassandra, MongoDB, and ElasticSearch.
• Python Data Ecosystem: Familiarity with Python-based data tools such as Pandas, Scikit-Learn, Matplotlib, TensorFlow, and Jupyter notebooks.
• Domain Knowledge: A sharp understanding of the transportation, logistics, and operations domain, with the ability to identify high-opportunity areas and design solutions that generate and capture significant value.
• Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex technical concepts into business-friendly language.

Why Choose arenaflex? Career Growth and Development

At arenaflex, we are deeply committed to the professional growth of every team member. When you join our Dataworks division, you gain access to a structured career development pathway that includes mentorship from senior engineers, sponsored certifications in cloud and big data technologies, and opportunities to lead high-impact projects. Whether you aspire to become a principal engineer, an architecture lead, or a technical director, arenaflex provides the resources, support, and challenging assignments to help you reach your goals.

We believe in learning by doing, and our engineers are encouraged to experiment, innovate, and contribute to open-source initiatives and internal knowledge-sharing programs. Your work at arenaflex will not only build your resume — it will shape the future of data-driven logistics on a global scale.

Work Environment and Company Culture

arenaflex fosters a remote-first culture that values autonomy, accountability, and asynchronous collaboration. Our distributed team model ensures that you can do your best work from anywhere, while still feeling deeply connected to your colleagues through virtual standups, collaborative tools, and regular team-building events. We celebrate diversity of thought and background, and we believe that the best engineering solutions emerge when people with varied perspectives come together around a common mission.

Our culture is built on transparency, mutual respect, and a shared passion for solving hard problems. We do not micromanage — we empower. We do not gatekeep knowledge — we share freely. If you thrive in an environment where ownership is celebrated and innovation is rewarded, you will feel right at home at arenaflex.

Compensation and Benefits

arenaflex offers a competitive compensation package designed to attract and retain top-tier talent. For this position, the starting rate is $25 per hour, with the potential for performance-based increases and annual reviews. Additional benefits include:

• Comprehensive medical, dental, and vision insurance plans
• Generous paid time off, including vacation, sick leave, and holidays
• 401(k) retirement plan with company matching contributions
• Flexible work hours and fully remote work arrangements
• Professional development stipends for certifications, courses, and conferences
• Home office setup allowance to ensure you have the tools you need to succeed
• Wellness programs and mental health support resources
• Employee assistance programs and family-friendly policies

How to Apply

If you are ready to take the next step in your data engineering career and join a company that values your skills, your growth, and your well-being, we encourage you to apply today. arenaflex is an equal opportunity employer, and we welcome applicants from all backgrounds, identities, and experiences. We believe that diverse teams build better products, and we are committed to creating an inclusive environment where every team member can thrive.

To apply, please submit your updated resume, a cover letter detailing your relevant experience, and any portfolio or GitHub links showcasing your data engineering projects. Our talent acquisition team will review your application and reach out within five business days to discuss next steps.

Join arenaflex and help us build the data infrastructure that powers the future of intelligent logistics. Your code, your ideas, and your expertise can make a real difference — apply now and become part of something extraordinary.