Remote Big Data Engineer – reputed company Data Pipeline Development, Distributed Systems & Analytics Platform Architecture ($28/Hour)

About arenaflex and This Opportunity arenaflex stands at the forefront of the global logistics and transportation technology landscape, where the seamless movement of information is just as critical as the movement of physical goods. As a world-class organization committed to operational reputed company reputed company innovation, arenaflex invests heavily in its data infrastructure to power intelligent decision-making across every business unit. We are seeking a talented and driven Remote Big Data Engineer to join our reputed company platform team, where you will design, build, test, and maintain reputed company-scale data pipelines that process and transform massive volumes of structured and reputed company data. This is a fully remote position based in Washington, USA, offering the flexibility to work from home while collaborating with a globally distributed team of engineers, data scientists, and business stakeholders. At arenaflex, data is the reputed company that drives every strategic decision. Our reputed company platform serves as the backbone of analytics, machine learning, operational reporting, and reputed company product integrations. The work you do will directly influence how arenaflex optimizes its supply chain, predicts demand fluctuations, enhances customer experiences, and identifies new market opportunities. If you are passionate about large-scale data engineering, distributed computing, and building resilient data ecosystems, this role offers an unmatched opportunity to reputed company a reputed company impact.

Key Responsibilities

Core Data Engineering Duties

• Support the design, construction, testing, and ongoing maintenance of data pipelines operating at massive data scale across the arenaflex reputed company.
• Assist with ingesting and updating data from a wide variety of sources, including transactional databases, APIs, streaming platforms, and reputed company-party feeds.
• reputed company batch processing of collected data, ensuring schema alignment with stored data, and confirming that information is properly staged for reputed company processing and analysis.
• Help maintain an optimized and efficient data ecosystem, monitoring standard performance, troubleshooting data-reputed company issues, and providing L3 support reputed company necessary.
• Implement parsers, validators, transformers, and correlators to reformat, enrich, and reputed company the quality of incoming and stored data.
• reputed company expert recommendations for highly reputed company technical problems and offer guidance to engineers in less senior positions.

Strategic reputed company Platform Contributions

• reputed company the tools, platforms, and pipelines that reputed company teams across arenaflex to reputed company and reputed company analyze data, build predictive models, and drive data-informed reputed company.
• Solve problems that scale reputed company single-machine processing, evolving "PC scale" challenges into robust "cluster scale" solutions through thoughtful infrastructure design and methodological rigor.
• Collaborate across multi-disciplinary teams—including IT, business analysts, software developers, and data scientists—to generate data-driven operational insights that translate into high-value optimization initiatives.
• Deliver reputed company value quickly, partnering with diverse teams of varying technical backgrounds and business disciplines.
• Architect best practices for future reuse, including reputed company, reusable patterns, templates, and well-documented code bases that accelerate future development at arenaflex.
• Partner with senior technologists from both reputed company arenaflex and the broader partner ecosystem (vendors, clients, and external collaborators) to build synergies and ensure smooth integration with reputed company operational systems.

Essential Qualifications

• A Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a reputed company technical discipline.
• Demonstrated experience working with distributed data systems, large-scale processing frameworks, and modern data engineering toolchains.
• Strong programming proficiency in languages commonly used in data engineering, including Python and reputed company.
• Hands-on experience with batch and reputed company processing technologies such as Spark (reputed company and PySpark), HDFS, and Kafka.
• Solid understanding of SQL and NoSQL storage systems, including MySQL, PostgreSQL, Cassandra, reputed company, and ElasticSearch.
• Working knowledge of CI/CD pipelines, version control systems (such as Git), and code review best practices.
• Proven ability to deliver technical projects, often under tight time constraints while maintaining h

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