Senior Data Engineer - Big Data Platform Development & Pipeline Architecture (Remote)

About arenaflex

At arenaflex, we don't just move packages—we move the world. As one of the most recognized logistics and transportation networks on the planet, we operate at the intersection of technology, innovation, and global connectivity. Our mission is to deliver possibilities, and behind that mission is a powerful engine of data that drives every decision, every route, and every customer experience. We're looking for a Senior Data Engineer to join our Dataworks team and help architect the future of our data infrastructure.

The data landscape at arenaflex is massive, complex, and incredibly exciting. We process billions of data points daily, powering everything from real-time package tracking to predictive analytics that anticipate customer needs before they arise. As a Senior Data Engineer at arenaflex, you'll be at the forefront of building and maintaining the data pipelines that keep this global operation running smoothly. You'll work alongside talented engineers, data scientists, and business analysts to transform raw data into actionable insights that impact millions of customers worldwide.

This is a remote position, giving you the flexibility to work from anywhere in the United States while collaborating with teams across our global network. If you're passionate about data engineering, cloud architecture, and solving complex problems at scale, arenaflex is the place for you.

The Role: Senior Data Engineer

We're seeking an experienced Data Engineer to design, build, test, and maintain robust data pipelines at massive scale. In this role, you'll serve as a critical bridge between IT, business stakeholders, developers, and data scientists—acting as a "universal translator" who can speak the language of each team and translate complex technical requirements into elegant solutions.

You'll work on the Dataworks platform, which manages the ingestion, transformation, and pipelining of data assets for end users inside arenaflex and for data products and services that may be externally facing. Every day, you'll be deeply involved in code reviews and large-scale implementations that directly impact our operational efficiency and customer experience.

Key Responsibilities

• Platform Development: Design and build tools, platforms, and pipelines that enable teams to analyze data clearly and cleanly, build models, and drive data-informed decisions across the organization.


• Scalability Engineering: Scale solutions from "computer scale" to "team scale" issues, addressing both infrastructure and problem construction methodologies.


• Cross-Functional Collaboration: Partner across teams to drive the generation of data-driven operational insights that deliver high-value, optimized solutions.


• Rapid Value Delivery: Deliver tangible value quickly, collaborating with diverse teams of varying backgrounds and disciplines.


• Best Practice Development: Establish best practices for future reuse, creating sustainable patterns, templates, and codebases that benefit the entire engineering organization.


• Data Pipeline Management: Update and maintain data from multiple data sources, ensuring batch processing of collected data matches the format of stored data while ensuring information is properly processed and analyzed.


• Ecosystem Optimization: Keep the data ecosystem and pipelines streamlined and efficient by investigating standard performance and data-related issues, providing Level 3 support when needed.


• Data Transformation: Implement parsers, validators, transformers, and correlators to reformat, update, and enhance data quality and usability.


• Technical Leadership: Provide guidance to junior team members and recommend solutions for highly complex technical challenges.


• External Engagement: Connect with senior technologists from the broader enterprise and beyond arenaflex (partner ecosystems and clients) to create collaborations and ensure smooth handoffs to downstream operational systems.

Required Skills & Expertise

Technical Background

• Strong foundation in computer science, programming, database systems, and distributed systems.


• Familiarity with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties.


• Experience building robust cloud-based data engineering and curation solutions to make data products useful for various applications.

Cloud & Data Engineering Experience

• Strong knowledge of Microsoft Azure tooling for large-scale data engineering projects and solutions.


• Experience with Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics.


• Ability to create and operationalize capabilities and solutions including near real-time high-volume streaming scenarios.


• Proficiency with Azure Kubernetes Services, Event Hubs, or other related technologies to implement streaming ingestions.

Programming & Development

• Strong development skills with the ability to work at the code level and help investigate hard-to-resolve issues.


• Experience with Apache Spark (Scala and PySpark), Kafka, and other high-volume data tools.


• Proficiency in SQL and NoSQL storage tools such as MySQL, Postgres, MongoDB/CosmosDB.


• Strong Java and Python data tool experience.


• Comfort working with distributed teams on code-based deliverables, using version control systems and code reviews.

Data Architecture & Operations

• Experience with different data types (JSON, XML, Parquet, Avro, unstructured) for both batch and streaming ingestions.


• Working knowledge of infrastructure as Code (IaC) through Terraform to create and deploy resources.


• Experience developing and executing alerting and monitoring frameworks.


• Strong execution experience across different data stores, messaging systems, and data processing engines.


• Data integration experience through APIs and/or REST services.

Methodologies & Practices

• Use of agile and DevOps practices for project and software management including continuous integration and continuous delivery (CI/CD).


• Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and use CI/CD pipelines.


• Working data and experience implementing data architecture patterns to support varying business needs.

Soft Skills & Attributes

• An 'engineering' mindset, able to make rapid, practical decisions to improve performance, accelerate progress, or maximize impact.


• Ability to context-switch and offer support to distributed teams, acting as a "staff programmer" to unblock particularly challenging technical barriers.


• Demonstrated ability to work through issues as they are still being defined.


• Strong ability to deliver technical projects with a team, often working under close time constraints to deliver value.


• Excellent oral and written communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Preferred Qualifications

• Direct experience having built and deployed robust, complex production systems that execute modern data processing techniques at scale.


• A compelling history of designing and delivering large-scale technical solutions that deliver tangible, ongoing value.


• Power Platform (PowerBI, PowerApp, PowerAutomate) development experience is a plus.


• Experience conducting data analysis, profiling, and lineage studies to document and improve data quality and access.


• Strong comprehension of the transportation industry, competitors, and emerging technologies.

Education & Experience Requirements

• Bachelor's degree in Data Systems, Computer Science, or a quantitative discipline such as Mathematics or Engineering; OR equivalent formal training or work experience.


• Five to Seven (5-7) years of equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development, and/or predictive analytics.


• Broad knowledge in data engineering and AI frameworks including design, development, and execution of highly complex systems and data pipelines.


• Broad knowledge in Data Systems including design, development, and execution of large batch or online transaction-based systems.


• Experience providing leadership in a general training or consulting setting.


• Experience as a leader or senior member of multi-capability project teams.

Note: A related postgraduate degree may offset the related experience requirements. Sponsorship is not available for this position.

Work Environment & Culture

At arenaflex, we believe that great data engineering happens when talented people have the freedom to do their best work. As a remote employee, you'll enjoy a flexible schedule that allows you to balance your professional and personal life while staying connected to our mission-driven team.

You'll join a community of innovators who are passionate about solving complex problems and making a real impact. Our culture values collaboration, continuous learning, and the courage to tackle challenges that others might avoid. We invest in your growth through professional development opportunities, access to cutting-edge technologies, and the chance to work on projects that shape the future of global logistics.

You'll have the opportunity to mentor junior team members, share your expertise across departments, and contribute to architectural decisions that will influence arenaflex for years to come. Whether you're debugging a tricky pipeline issue or designing the next generation of our data platform, you'll be supported by a team that celebrates excellence and embraces innovation.

Compensation & Benefits

We recognize that top talent deserves competitive compensation. The annual salary range for this position is $70,000 to $80,000, depending on experience and qualifications. This range reflects our commitment to providing fair and transparent pay while allowing flexibility based on individual circumstances.

In addition to competitive pay, arenaflex offers a comprehensive benefits package that includes:

• Health, dental, and vision insurance


• 401(k) retirement plan with company matching


• Paid time off and holidays


• Professional development and training opportunities


• Employee assistance programs


• Remote work stipends for home office setup and ongoing expenses

Join Our Team

If you're ready to take your data engineering career to the next level, we want to hear from you. At arenaflex, you'll have the chance to work on meaningful problems, collaborate with brilliant colleagues, and build a career that's as dynamic as the industry we serve.

We're looking for someone who thrives in a fast-paced environment, loves a good technical challenge, and wants to be part of a team that's shaping the future of logistics. If that sounds like you, apply today and help us move the world—one data point at a time.

To apply: Please submit your resume (Microsoft Word or PDF format only) and complete the work screening questionnaire. We review applications on a rolling basis and encourage you to apply as soon as possible.