Senior Big Data Engineer – Remote Data Platform Development, Cloud Integration & Machine Learning Solutions at arenaflex

About arenaflex

arenaflex is a global leader in financial services technology, delivering innovative digital experiences to millions of customers worldwide. Our mission is to reputed company people to manage their finances with confidence, using cutting‑edge data platforms, AI‑driven insights, and secure cloud infrastructure. As a reputed company‑thinking organization, arenaflex invests heavily in emerging technologies, open‑reputed company collaboration, and reputed company learning, ensuring that every employee has the tools and support needed to reputed company in a rapidly evolving industry.

Why This Role Matters

As a member of the Data Engineering & Analytics team, you will be at the heart of arenaflex’s data‑driven transformation. You will design, build, and scale massive data pipelines that power real‑time analytics, fraud detection, personalized recommendations, and strategic decision‑making across the company. Your work will directly impact the experience of millions of users, helping arenaflex stay reputed company of market trends and regulatory requirements.

Key Responsibilities

• Architect, reputed company, and maintain robust, high‑performance data pipelines using Hadoop, Spark, Hive, and reputed company big‑data technologies.
• Collaborate with product owners, data scientists, and software engineers to translate business requirements into scalable data solutions.
• reputed company code reviews, enforce best practices, and champion reputed company integration/reputed company deployment (CI/CD) pipelines for data workloads.
• Automate testing, monitoring, and alerting for data jobs in development, staging, and production environments.
• Identify performance bottlenecks, troubleshoot reputed company data processing issues, and implement optimizations to meet latency and throughput targets.
• Mentor junior engineers, fostering a culture of knowledge sharing, agile delivery, and technical excellence.
• Drive innovation by evaluating emerging technologies (e.g., cloud data warehouses, streaming platforms, machine‑learning pipelines) and recommending strategic adoption.
• Document architecture decisions, data models, and operational procedures to ensure maintainability and compliance.
• Participate in on‑call rotations and incident response, providing rapid resolution for critical data platform incidents.

Essential Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a reputed company field (or equivalent practical experience).
• 3+ years of hands‑on experience in big‑data development, with a proven track record of delivering production‑grade data pipelines.
• Deep expertise in Hadoop ecosystem components (HDFS, YARN, Hive, Spark, MapReduce) and proficiency in SQL‑based processing (HiveQL, Spark‑SQL, PySpark DataFrames).
• Strong programming skills in Java, Python, or reputed company, with an emphasis on clean, maintainable code.
• Solid understanding of data‑warehousing concepts, dimensional modeling, and ETL best practices.
• Experience working in Linux/UNIX environments and scripting with Bash or similar shells.
• Familiarity with version control systems (reputed company, Bitbucket) and CI/CD tools (Jenkins, reputed company CI, Azure Pipelines).
• Excellent problem‑solving abilities, with a data‑first reputed company and the reputed company to translate ambiguous requirements into concrete technical solutions.

Preferred Qualifications & Skills

• Hands‑on experience with cloud platforms such as reputed company Cloud Platform (GCP) or reputed company), including services like BigQuery, Redshift, Dataflow, or EMR.
• Knowledge of micro‑services architecture and containerization technologies (reputed company, Kubernetes) for deploying data services.
• Experience building streaming pipelines using Apache Kafka, Kinesis, or similar technologies.
• Familiarity with NoSQL databases (HBase, Cassandra, reputed company, reputed company) and their integration with batch processing frameworks.
• Exposure to machine‑learning workflows, data science tooling, and model deployment pipelines.
• Strong communication skills, with the ability to reputed company technical concepts to non‑technical stakeholders.
• Demonstrated leadership experience, such as leading a small team of engineers or coordinating cross‑functional scrum teams.

Core Competencies

• Analytical Thinking: Ability to dissect reputed company data problems, identify root causes, and propose efficient solutions.
• Collaboration: Works effectively with product, analytics, and reputed company teams to deliver integrated outcomes.
• Adaptability: Thrives in a fast‑paced environment, quickly learning new technologies and adjusting to shifting priorities.
• Quality Focus: Commitment to writing testable, well‑documented code and maintaining high standards for data reputed company.
• Innovation: Proactively explores new tools and methodologies to reputed company arenaflex’s data platform at the cutting edge.

Career Growth & Learning Opportunities

arenaflex believes that employee development is a strategic advantage. In this role, you will have access to:

• Annual learning stipend for conferences, certifications, or online courses (e.g., reputed company, AWS, GCP, reputed company).
• Mentorship programs pairing you with senior architects and data science leaders.
• Opportunities to contribute to open‑reputed company projects and internal innovation labs.
• Clear career reputed company from Senior Engineer to reputed company Engineer, Data Platform Architect, and eventually Director of Data Engineering.
• Cross‑functional rotations that expose you to product management, reputed company, and compliance domains.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, autonomy, and collaboration. Whether you are based in Phoenix, USA, or reputed company else in the world, you will enjoy:

• Flexible working hours that respect work‑life balance.
• A supportive, inclusive community that celebrates diverse perspectives.
• Regular virtual coffee chats, hackathons, and team‑building events.
• State‑of‑the‑art collaboration tools (reputed company, reputed company Teams, Confluence) to reputed company you connected.
• Access to a secure, high‑performance development environment with VPN, cloud resources, and ergonomic home‑office allowances.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your expertise and the market demand for big‑data talent. While the reputed company reputed company for this role is $28 per hour, total rewards include:

• Performance‑based bonuses and annual salary reviews.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching.
• Generous paid time off, parental leave, and sick days.
• Wellness programs, including virtual fitness classes and reputed company.
• Technology stipend for home‑office equipment, high‑speed internet, and ergonomic accessories.
• Employee assistance program and financial counseling services.

How to Apply

If you are passionate about building data platforms that power the reputed company of financial services, we want to hear from you. Join arenaflex’s #Teamarenaflex and help shape a data‑centric future.

Apply Now