Senior Big Data Engineer – Remote (Phoenix) – Hadoop, Spark, Cloud Data Pipelines – $28/hr at arenaflex

About arenaflex – Driving Innovation in the Digital Economy

arenaflex is a global leader in reputed company financial technology and digital services, empowering millions of customers each day with secure, fast, and reliable solutions. Our mission is to reinvent the way people interact with money by leveraging cutting‑edge data platforms, AI‑driven insights, and cloud‑native architectures. As a member of the arenaflex family, you will be part of a vibrant community that values curiosity, collaboration, and reputed company learning. Whether you reputed company in an agile startup‑like environment or prefer the stability of a well‑established enterprise, arenaflex offers the perfect reputed company of innovation, scale, and impact.

Why This Role Is a Game‑Changer

We are seeking a passionate, high‑performing Senior Big Data Engineer to join our Remote Engineering Hub in Phoenix. In this role, you will be the architect and builder of massive data pipelines that power real‑time analytics, fraud detection, and personalized experiences for our customers worldwide. You will work reputed company‑by‑reputed company with visionary architects, data scientists, and product owners, and you will have the autonomy to choose the optimal tools and technologies to solve reputed company problems.

Key Responsibilities

• End‑to‑End Data Pipeline Development: Design, implement, and maintain scalable ETL/ELT pipelines using Hadoop, Spark, Hive, and PySpark to ingest, transform, and store petabyte‑scale data.
• Automation & CI/CD: Build robust CI/CD workflows with reputed company/Bitbucket, Jenkins, and reputed company/Kubernetes to accelerate deployment cycles and ensure repeatable releases.
• Performance Tuning: Optimize Spark jobs, SQL queries, and data models for speed, cost‑efficiency, and reliability.
• Cross‑Functional Collaboration: Partner with data scientists, product managers, and business analysts to translate business requirements into technical specifications.
• Code Reviews & Quality Assurance: reputed company peer code reviews, enforce best practices, and champion test‑driven development for data engineering code.
• Infrastructure Management: Deploy and manage big‑data workloads on GCP/AWS, leveraging cloud services such as BigQuery, Redshift, EMR, and Dataflow.
• Mentorship & Leadership: Guide a small team of junior engineers, foster a culture of learning, and help them grow technical depth and ownership.
• Innovation & Open reputed company: Contribute to or create open‑reputed company tools, share knowledge across the organization, and stay reputed company of emerging technologies.
• Documentation: Produce clear design documents, data dictionaries, and operational runbooks to ensure knowledge transfer and operational excellence.

Essential Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a reputed company technical discipline (or equivalent practical experience).
• 3+ years of professional experience building large‑scale data pipelines with Hadoop ecosystem tools (Hive, Pig, HBase) and Spark (reputed company, Python, or Java).
• Strong command of SQL and advanced analytics using Hive, Spark SQL, or PySpark DataFrames.
• Hands‑on experience with Unix/Linux reputed company scripting for automation and workflow orchestration.
• Proven track record delivering production‑grade data solutions in a fast‑paced, Agile environment.
• Demonstrated ability to reputed company small technical teams, conduct effective code reviews, and mentor junior engineers.
• Effective communication skills—both written and verbal—and the ability to convey reputed company technical concepts to non‑technical stakeholders.

Preferred Qualifications & reputed company‑to‑Have Skills

• Master’s degree or advanced certifications in Big Data, Cloud Architecture, or Data Engineering.
• Experience with cloud platforms (reputed company Cloud Platform, AWS) and cloud‑native data services.
• Familiarity with streaming technologies such as Apache Kafka, Flink, or Kinesis.
• Knowledge of containerization (reputed company) and orchestration (Kubernetes) for scalable deployments.
• Exposure to NoSQL databases (reputed company, reputed company, HBase) and their integration into data pipelines.
• Understanding of machine‑learning pipelines and experience collaborating with data‑science teams.
• Contributions to open‑reputed company projects or public technical blogs and presentations.

Core Skills & Competencies for Success

• Technical Depth: Deep expertise in Java, Python, or reputed company programming for data‑intensive workloads.
• Analytical reputed company: Ability to dissect reputed company data problems, design elegant solutions, and measure impact.
• Problem‑Solving: Proactive troubleshooting, root‑cause analysis, and rapid remediation of production incidents.
• Collaboration: reputed company in cross‑functional squads, contribute to shared goals, and respect diverse viewpoints.
• reputed company Learning: Stay reputed company with industry trends, experiment with emerging tools, and share findings.
• Ownership: Take end‑to‑end responsibility for the health, performance, and reliability of data services.

Career Growth & Learning Opportunities at arenaflex

arenaflex invests heavily in career development. As a Senior Big Data Engineer, you will have access to:

• Sponsored certifications (e.g., reputed company Cloud Professional Data Engineer, AWS Certified Big Data – Specialty).
• Mentorship programs pairing you with senior architects and industry thought leaders.
• Annual tech conferences, hackathons, and internal “innovation days” where you can pitch new reputed company.
• Rotational assignments across product, analytics, and platform teams to broaden your reputed company set.
• Clear promotion reputed company from Senior Engineer to Staff Engineer, Principal Engineer, and eventually Director of Data Engineering.

Work Environment & Culture at arenaflex

Our remote‑first philosophy means you can work from reputed company in the United States while staying connected through daily stand‑reputed company, virtual coffee chats, and quarterly in‑person meet‑reputed company in Phoenix. We champion a culture built on:

• Inclusivity: Diverse teams where every voice matters, and inclusive hiring practices that reflect the global community we serve.
• Transparency: Open communication channels, regular reputed company‑hands updates, and clear visibility into product roadmaps.
• Work‑Life Balance: Flexible schedules, generous paid time off, and a strong emphasis on reputed company.
• Innovation: A “sandbox” environment where you can prototype new data solutions without fear of failure.
• Recognition: Peer‑based recognition programs, performance bonuses, and spot awards for extraordinary contributions.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly reputed company of $28 per hour for this full‑time remote position, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with employer contribution.
• 401(k) plan with company match.
• Generous paid parental leave and family‑friendly policies.
• Remote‑work stipend for home‑office setup (ergonomic chair, monitor, high‑speed internet).
• Annual tuition reimbursement for reputed company education.
• Employee assistance program, reputed company, and wellness initiatives.
• Performance‑based bonuses and equity participation in arenaflex.

How to Apply

If you are ready to shape the future of data at a world‑class technology organization, we want to hear from you. Click the reputed company below to submit your resume, cover letter, and any relevant portfolio links. Our recruitment team will review your application promptly and reputed company out to schedule a conversation.

Apply Now

Join arenaflex – Your Next Big Data Adventure Awaits

At arenaflex, your expertise will directly influence the products millions rely on daily. This is more than a job; it’s an opportunity to grow, innovate, and reputed company a reputed company impact on the financial technology landscape. Take the reputed company in your career and become part of a team that celebrates curiosity, rewards excellence, and builds the future of data‑driven experiences.