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About Arenaflex

Arenaflex stands at the forefront of financial technology innovation, delivering cutting-edge solutions that power the modern enterprise data landscape. As a recognized leader in big data engineering and cloud-native platform development, we transform raw data into actionable intelligence that drives business decision-making across industries. Our commitment to excellence has established us as an employer of choice for technology professionals seeking to make a meaningful impact in a dynamic, growth-oriented environment.

Within our Technology division, the Enterprise Data Services team plays a critical role in ensuring the seamless flow, reliability, and accessibility of data across the entire organization. We are currently seeking a talented and experienced Senior Big Data Software Engineer to join our growing team and contribute to the design, development, and optimization of our enterprise data infrastructure.

Position Overview

The Senior Big Data Software Engineer serves as a senior-level contributor within our Enterprise Data Services organization, responsible for building, maintaining, and enhancing our big data platforms and distributed computing systems. This role requires a unique blend of technical expertise, leadership capabilities, and the ability to collaborate effectively across cross-functional teams.

In this position, you will design and implement scalable data pipelines, develop robust ETL workflows, and optimize data processing frameworks to meet the demanding requirements of enterprise-level operations. You will work with cutting-edge technologies including Hadoop, Spark, Kafka, and cloud-native services to deliver high-performance data solutions that support business intelligence, analytics, and operational reporting needs.

Key Responsibilities

As a Senior Big Data Software Engineer at arenaflex, you will be entrusted with significant responsibilities that directly impact our data infrastructure and business operations:

• Lead Complex Data Initiatives: Architect and drive moderately complex data engineering projects and initiatives within specialized technical environments, ensuring adherence to best practices and quality standards.
• System Planning & Design: Contribute to large-scale planning and design of data architectures, methodologies, and processing frameworks that support enterprise-wide data requirements.
• Development & Implementation: Design, code, test, troubleshoot, and document applications, systems, and solutions related to technology platforms, including enhancements, deployments, and production implementations.
• Technical Problem Resolution: Analyze and resolve moderately complex technical challenges that require in-depth assessment of emerging technologies, frameworks, and industry methodologies.
• Issue Resolution & Team Leadership: Resolve complex problems and lead teams to meet existing client needs while maintaining a strong understanding of functionality, processes, methodologies, and compliance requirements.
• Cross-Functional Collaboration: Collaborate and communicate with peers, associates, and mid-level managers to resolve technical challenges and achieve project objectives.
• Mentorship & Guidance: Lead project initiatives and serve as an escalation point, providing guidance and direction to less experienced team members.
• Documentation & Knowledge Sharing: Create comprehensive technical documentation, knowledge base articles, and runbooks to support team efficiency and knowledge transfer.

Essential Qualifications

To qualify for this senior-level position, candidates must meet the following requirements:

• Educational Background: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field. Equivalent combination of relevant education and experience will be considered.
• Professional Experience: Minimum of 3+ years of progressive software engineering or data engineering experience, demonstrated through practical work experience, training, or equivalent technical background.
• Big Data Technologies: Minimum 3+ years of hands-on experience with Apache Hadoop ecosystem and distributed computing frameworks.
• Database Technologies: Minimum 3+ years of experience with enterprise database platforms, including Teradata and/or MongoDB.
• Cloud Platform Expertise: Minimum 3+ years of experience with Amazon Web Services (AWS) or equivalent cloud platforms for data engineering and deployment.
• Version Control: Minimum 3+ years of experience with GitHub, Bitbucket, or similar version control systems.
• Software Development Lifecycle: Minimum 3+ years of experience in planning, coding, testing, troubleshooting, and documenting applications and projects.
• Programming Languages: Minimum 3+ years of experience in Python and Unix/Shell scripting, with additional experience in Scala, Java, or equivalent languages.
• Data Pipeline Technologies: Experience with data pipeline orchestration tools including Oozie, Flume, Apache Kafka, and similar frameworks.
• Automation & Configuration Management: Minimum 3+ years of experience with configuration management and automation tools such as Ansible, Puppet, or Chef.

Preferred Qualifications

While not required, the following qualifications will enhance your candidacy:

• Financial Services Industry Experience: Prior experience working as a Big Data Engineer or Software Engineer within the financial services or banking industry.
• ETL Development Expertise: Experience in designing and implementing ETL data streams using mapping and workflow tools to extract data from SQL Server and transform data from Oracle/Access/Excel using SSIS or equivalent tools.
• Certification: Relevant professional certifications in big data technologies, cloud platforms, or data engineering.
• Advanced Degree: Master's degree or higher in a related technical field.

Skills & Competencies

Success in this role requires a diverse set of technical skills and interpersonal competencies:

• Technical Proficiency: Strong proficiency in big data technologies including Hadoop, Spark, HBase, Hive, and related ecosystem components.
• Programming Abilities: Expert-level programming skills in Python, Scala, and/or Java with strong understanding of object-oriented design principles.
• Database Knowledge: Strong knowledge of SQL and NoSQL database systems, including Teradata, MongoDB, Cassandra, or similar platforms.
• Cloud Platform Skills: Demonstrated expertise in AWS or equivalent cloud platforms, including EC2, S3, EMR, Lambda, and other managed services.
• Data Pipeline Development: Experience designing and implementing scalable data pipelines using Kafka, Flume, Oozie, or similar orchestration tools.
• Automation & DevOps: Strong skills in automation tools such as Ansible for configuration management and deployment automation.
• Problem-Solving Abilities: Excellent analytical and problem-solving abilities with a track record of resolving complex technical challenges.
• Communication Skills: Strong verbal and written communication skills with the ability to convey technical concepts to both technical and non-technical audiences.
• Collaboration & Teamwork: Ability to work effectively in a highly collaborative environment and contribute to team success.
• Proactive Approach: Self-motivated with a proactive mindset and ability to identify improvements and innovative solutions.

Career Growth Opportunities

At arenaflex, we are committed to the professional development and career advancement of our team members. As a Senior Big Data Software Engineer, you will have access to extensive growth opportunities including:

• Leadership Development: Potential progression into technical lead, principal engineer, or management roles as you demonstrate leadership capabilities.
• Specialization Paths: Opportunities to specialize in areas such as machine learning engineering, real-time streaming analytics, or cloud architecture.
• Continuous Learning: Access to internal training programs, conferences, and certification sponsorship to enhance your technical skills.
• Cross-Functional Exposure: Opportunities to work with different business units and gain exposure to various domains and technologies.
• Industry Recognition: Participation in internal and external technology communities, conferences, and knowledge-sharing forums.

Work Environment & Culture

Arenaflex fosters a dynamic, inclusive, and collaborative work environment that values innovation, diversity, and excellence. Our culture is built on the following foundations:

• Inclusive Workplace: We believe in diversity, equity, and inclusion in the workplace. We welcome applications from all qualified candidates regardless of race, color, national origin, religion, sexual orientation, gender identity, genetic information, disability, pregnancy, marital status, or any other protected status.
• Collaboration Culture: We emphasize teamwork and open communication, encouraging cross-functional collaboration to achieve common goals.
• Innovation Focus: We encourage innovation and creative problem-solving, providing opportunities to explore new technologies and approaches.
• Work-Life Balance: We support flexible work arrangements and prioritize employee well-being and work-life balance.
• Compliance & Integrity: We maintain a strong compliance and risk management culture, ensuring adherence to regulatory requirements and internal policies.

Compensation & Benefits

Arenaflex offers competitive compensation and a comprehensive benefits package designed to support our employees' professional and personal well-being:

• Competitive Salary: The position offers a competitive hourly rate range of $45-$65 per hour, commensurate with experience, qualifications, and location.
• Annual Bonus: Eligible for annual performance bonuses based on individual and company performance.
• Health & Wellness: Comprehensive health, dental, and vision insurance coverage.
• Retirement Plans: 401(k) retirement plan with company matching contributions.
• Paid Time Off: Generous paid time off (PTO) policy including vacation, sick leave, and personal days.
• Professional Development: Support for professional development, training, and certification programs.
• Additional Perks: Various employee perks including wellness programs, employee assistance programs, and flexible spending accounts.

Conclusion

Are you ready to take your career to the next level? Join arenaflex as a Senior Big Data Software Engineer and become part of a forward-thinking team that is transforming the enterprise data landscape. You will work with cutting-edge technologies, collaborate with talented professionals, and make a meaningful impact on our data infrastructure.

This is an exceptional opportunity for an experienced data engineering professional seeking to grow their career in a dynamic, technology-driven organization. We offer competitive compensation, comprehensive benefits, and extensive opportunities for professional development and advancement.

We encourage all qualified candidates to apply and become part of our team. Take the next step in your career journey—apply today and join us in building the future of enterprise data engineering at arenaflex.