Experienced Senior Big Data Software Engineer – Full Stack Data Engineering & Cloud Platform Development (Part Time)

About Arenaflex

Arenaflex is a leading financial services and technology organization committed to innovation, integrity, and delivering exceptional client experiences. We operate at the intersection of cutting-edge technology and impactful financial solutions, building robust data infrastructure that powers critical business decisions across the enterprise. Our culture emphasizes collaboration, continuous learning, and the pursuit of excellence in everything we do.

As part of our continued growth and transformation, we are seeking a talented and motivated Senior Big Data Software Engineer to join our dynamic Technology team on a part-time basis. This is an exciting opportunity to contribute to large-scale data initiatives while benefiting from flexible work arrangements and professional development opportunities.

Position Overview

The Senior Big Data Software Engineer will play a pivotal role in designing, developing, and maintaining our enterprise-level data platforms and processing systems. This position requires a strong technical foundation in big data technologies, cloud infrastructure, and software engineering best practices. The ideal candidate will thrive in a collaborative environment, demonstrate leadership capabilities, and possess a passion for solving complex technical challenges.

Working closely with cross-functional teams, you will be responsible for building scalable data solutions that enable meaningful business insights and drive operational efficiency across the organization.

Key Responsibilities

• Lead and execute complex data engineering initiatives within specialized technical environments, ensuring alignment with business objectives and quality standards.
• Design and implement large-scale data architecture solutions, including data pipelines, ETL processes, and integration frameworks that support critical business functions.
• Develop, test, and maintain code for projects and initiatives related to the technology domain, including system upgrades, deployments, and enhancements.
• Analyze and resolve complex technical challenges that require in-depth assessment of technologies, systems, and enterprise requirements.
• Troubleshoot and debug data processing issues, performance bottlenecks, and system integrations while ensuring optimal functionality.
• Collaborate with stakeholders across departments, including product managers, business analysts, and operations teams, to translate business requirements into technical solutions.
• Mentor and guide junior team members, providing technical direction, code reviews, and knowledge transfer to build team capabilities.
• Participate in architecture design sessions and contribute to technical roadmap planning for data platform evolution.
• Ensure compliance with organizational policies, security standards, and regulatory requirements throughout the development lifecycle.
• Document technical specifications, design documents, and process workflows to maintain clear knowledge repositories.

Essential Qualifications

Technical Experience

• 3+ years of professional software engineering experience, demonstrating proficiency in software design, development, and deployment.
• 3+ years of hands-on experience with Apache Hadoop ecosystem technologies, including HDFS, MapReduce, YARN, and related components.
• 3+ years of experience with Teradata database systems, including SQL development, performance tuning, and data modeling.
• 3+ years of experience with MongoDB and NoSQL database design, including schema design, replication, and sharding strategies.
• 3+ years of experience with Amazon Web Services (AWS) cloud platform, including EC2, S3, EMR, Lambda, and other relevant services.
• 3+ years of experience with version control systems, particularly GitHub and Bitbucket, including branching strategies and collaborative workflows.
• 3+ years of experience in the complete software development lifecycle, from requirements gathering through design, coding, testing, troubleshooting, and production deployment.
• Proficiency in multiple programming languages, including Python, Scala, and Unix/Shell scripting for automation and data processing.
• Experience with additional big data technologies, including HBase, Oozie, Flume, Apache Kafka for real-time data streaming and processing.
• Experience with configuration management tools, particularly Ansible, for infrastructure automation and deployment.

Educational Background

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field. Equivalent professional experience will be considered in lieu of formal education.

Preferred Qualifications

• Strong communication skills (verbal and written) with the ability to articulate technical concepts to both technical and non-technical audiences across all organizational levels.
• Proven ability to work in a highly collaborative environment and demonstrate a proactive approach to problem-solving and team success.
• Experience designing and implementing ETL data streams using workflows and mappings to extract data from SQL Server and handle data transformation from Oracle/Access/Excel using SQL Server SSIS.
• Experience in the financial services industry, particularly in roles involving data engineering, risk management, or regulatory reporting.
• Knowledge of Agile methodologies and experience working in Scrum-based development teams.
• Familiarity with data governance practices and understanding of data quality standards.
• Experience with real-time streaming data processing using Apache Kafka, Apache Flink, or similar technologies.
• Understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes.
• Experience with CI/CD pipelines using Jenkins, GitLab CI, or similar tools.

Skills & Competencies Required

• Technical Expertise: Deep knowledge of big data architectures, distributed computing, and cloud platforms.
• Problem-Solving: Analytical thinking with the ability to debug complex issues and implement effective solutions.
• Collaboration: Strong teamwork skills with the ability to work effectively across functional boundaries.
• Adaptability: Capacity to learn new technologies quickly and adapt to evolving business requirements.
• Attention to Detail: Commitment to producing high-quality code and documentation.
• Time Management: Ability to prioritize tasks and manage multiple projects concurrently.
• Initiative: Proactive approach to identifying improvements and driving innovation.

Career Growth Opportunities

At Arenaflex, we invest in our employees' professional development and career advancement. As a Senior Big Data Software Engineer, you will have access to:

• Technical leadership pathways leading to Principal Engineer or Architect roles.
• Mentorship programs where you can develop future leaders and grow your coaching skills.
• Exposure to emerging technologies through training sessions, conferences, and certification programs.
• Cross-functional collaboration opportunities across product, design, and business teams.
• Career transition options into data architecture, machine learning engineering, or data science roles.
• Comprehensive learning resources including online courses, workshops, and internal knowledge-sharing sessions.

Work Environment & Culture

Arenaflex fosters a supportive, inclusive, and innovation-driven work environment where diverse perspectives are valued and celebrated. We believe in:

• Work-life balance through flexible scheduling and remote work arrangements.
• Collaborative teamwork where ideas are freely shared and collective success is celebrated.
• Continuous improvement through regular retrospectives and process optimization.
• Inclusive diversity where every team member feels respected, valued, and empowered to contribute.
• Employee well-being programs focused on physical, mental, and financial wellness.
• Community engagement through volunteer opportunities and corporate social responsibility initiatives.

Compensation & Benefits

We offer a competitive compensation package designed to attract and retain top talent:

• Attractive hourly rate of $27 per hour for part-time engagement.
• Flexible work arrangements including remote work options and adaptable scheduling.
• Professional development support including tuition assistance and certification reimbursement.
• Health and wellness programs including access to employee assistance resources.
• Paid time off including holidays and flexible leave policies.
• Employee referral bonuses for successful candidate recommendations.

Commitment to Diversity & Inclusion

At Arenaflex, we believe that diversity, equity, and inclusion are fundamental to our success. We welcome applications from all qualified candidates regardless of race, color, national origin, religion, gender, sexual orientation, gender identity, disability, pregnancy, marital status, or any other protected status.

We are committed to creating a workplace where every individual feels valued, respected, and empowered to achieve their best. Our inclusive culture celebrates diverse perspectives and drives innovation through collaborative excellence.

Apply Now

If you are a dedicated professional with a passion for big data engineering and want to make a meaningful impact, we encourage you to apply. Join Arenaflex and become part of a team that values innovation, integrity, and your unique contributions.

To apply for this position, please submit your resume and cover letter through our careers portal. Our recruiting team will review applications and contact qualified candidates for next steps.

Arenaflex is an equal opportunity employer. All applications will be treated with confidentiality.