Senior Data Engineer – Big Data Infrastructure, Cloud-Based Analytics & Enterprise Data Pipeline Development (Remote)
Posted 2026-05-05Job Description:
Join arenaflex as a Senior Data Engineer – Shape the Future of Data Innovation
Are you ready to be part of a transformative journey in data engineering? arenaflex is seeking a talented and motivated Senior Data Engineer to join our dynamic Technology team. This is a unique opportunity to work with cutting-edge technologies, collaborate with brilliant minds, and make a significant impact on how data drives business decisions across the organization.
At arenaflex, we believe that data is the cornerstone of innovation. As a Senior Data Engineer, you will play a pivotal role in designing, building, and maintaining the data infrastructure that powers our enterprise. You will work alongside cross-functional teams to deliver scalable data solutions that enable actionable insights and drive operational excellence.
About arenaflex
arenaflex is a forward-thinking organization committed to leveraging technology to create exceptional experiences. We pride ourselves on fostering a culture of innovation, collaboration, and continuous learning. Our team members are our greatest asset, and we invest heavily in their growth and development. When you join arenaflex, you become part of a community that values excellence, integrity, and the courage to push boundaries.
Our Technology division is at the heart of our digital transformation. We are modernizing our data infrastructure, migrating to cloud-native solutions, and building robust analytics platforms that serve stakeholders across the organization. As a Senior Data Engineer, you will be instrumental in these initiatives, bringing technical expertise and creative problem-solving to every challenge.
Position Overview
We are looking for an experienced Senior Data Engineer to design and implement complex data solutions. This role requires a deep understanding of data engineering principles, cloud platforms (particularly AWS), and modern data pipeline architectures. The ideal candidate will be comfortable working in a fast-paced environment, collaborating with diverse teams, and continuously learning new technologies.
This position is offered as a remote work environment, giving you the flexibility to work from home while staying connected to our corporate ecosystem. During the initial training period and for required meetings or team gatherings, occasional travel may be necessary. Apart from these planned visits, the majority of your work can be conducted remotely from your home office.
Important Note: While this is a remote position, certain states and territories are not eligible for off-site work arrangements. The following locations are currently not permitted for this role: Alaska, Delaware, New Jersey, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming. If you reside in one of these areas, we encourage you to explore other opportunities within arenaflex that may be available in your region.
Key Responsibilities
As a Senior Data Engineer at arenaflex, you will be responsible for architecting and implementing data solutions that meet both functional and non-functional business requirements. Your primary duties will include:
- Data Architecture & Design: Collect, design, and implement large-scale, complex data sets that meet comprehensive business requirements. You will work to understand both the technical and business aspects of data needs to create optimal solutions.
- Infrastructure Development: Build and maintain the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various sources using AWS and SQL technologies. Ensure data pipelines are robust, scalable, and performant.
- Process Optimization: Identify, plan, and execute internal process improvements, including re-architecting infrastructure for greater scalability, enhancing data delivery mechanisms, and automating manual processes to improve efficiency.
- Analytics & Insights: Develop analytical tools to leverage data pipelines, providing valuable insights into key business performance metrics such as operational efficiency and customer acquisition. Create dashboards and reports that drive strategic decision-making.
- Cross-Functional Collaboration: Work closely with stakeholders including Data Science, Design, Product, and Executive teams. Assist them with data-related technical issues and ensure their data infrastructure needs are met effectively.
- Technical Leadership: Lead and provide expertise to functional project teams, participating in cross-functional initiatives. Mentor junior team members and contribute to best practices and knowledge sharing.
- Innovation & Problem-Solving: Utilize independent judgment within broadly defined policies and procedures to determine the best approach for accomplishing work objectives. Proactively identify issues and develop effective solutions.
- Vendor Management: Work with external vendors and partners, helping to provide them with effective solutions and insights. Ensure seamless integration between arenaflex systems and external platforms.
- Continuous Improvement: Develop and recommend enhancements to existing systems and processes. Stay current with industry trends and emerging technologies to drive innovation within the organization.
Qualifications & Requirements
Essential Qualifications
- Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Equivalent professional experience may be considered in lieu of formal education.
- Technical Expertise: Strong proficiency in building data pipelines and working with cloud platforms, particularly Amazon Web Services (AWS).
- Database Skills: Extensive experience with SQL technologies, including query optimization, database design, and data modeling.
- Programming Knowledge: Proficiency in at least one programming language (Python, Java, Scala, or similar) commonly used in data engineering contexts.
- Data Engineering Fundamentals: Understanding of ETL processes, data warehousing, and data lake architectures.
- Problem-Solving Abilities: Strong analytical skills with the ability to identify complex issues and develop effective solutions using logic and reasoning.
- Communication Skills: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Authorization: U.S. citizenship or current authorization to work in the United States is required. No current or future work authorization sponsorship is available for this position.
Preferred Qualifications
- Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Knowledge of data visualization tools (Tableau, Power BI, or similar).
- Familiarity with Agile methodologies and DevOps practices.
- Experience in the airline, travel, or transportation industry.
- Advanced degree in a related technical field.
- Certification in AWS (Solutions Architect, Data Analytics, or similar).
Skills & Competencies
To thrive in this role, you will need a combination of technical skills and soft competencies:
- Technical Knowledge: Strong understanding of engineering science and technology principles, including applying techniques, procedures, and equipment to the design and production of various solutions.
- Design Proficiency: Knowledge of design processes, tools, and principles involved in producing precision technical plans, diagrams, drawings, and models.
- Analytical Thinking: Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
- Learning Agility: Capacity to understand the implications of new information for both current and future problem-solving and decision-making.
- Problem Identification: Skilled in identifying complex problems and evaluating related information to develop and implement solutions.
- Attention to Detail: Ability to recognize when something is wrong or likely to go wrong. Strong attention to data accuracy and quality.
- Information Synthesis: Capacity to combine bits of information to form general rules or conclusions, including finding relationships among seemingly unrelated events.
- Information Switching: Ability to shift between two or more activities or sources of information effectively.
- Pattern Recognition: Ability to arrange things or activities in a particular order or pattern according to specific rules, as well as identify or detect known patterns hidden in distracting material.
Career Growth & Development Opportunities
At arenaflex, we are committed to helping our employees grow and advance in their careers. As a Senior Data Engineer, you will have access to numerous development opportunities:
- Technical Training: Comprehensive onboarding and ongoing training on the latest technologies and best practices in data engineering.
- Certification Support: Financial assistance and dedicated time for pursuing professional certifications in cloud platforms, data engineering, and related fields.
- Career Advancement: Clear pathways for progression to Lead Data Engineer, Principal Engineer, Data Architect, or management roles based on your interests and performance.
- Mentorship Programs: Opportunities to both receive mentorship from senior leaders and mentor junior team members, fostering knowledge transfer and leadership development.
- Cross-Functional Exposure: Experience working with various teams across the organization, broadening your understanding of business operations and strategy.
- Innovation Labs: Access to internal innovation initiatives where you can experiment with new technologies and propose creative solutions.
Work Environment & Culture
arenaflex fosters a collaborative, inclusive, and innovative work environment. We believe that diverse perspectives drive better outcomes, and we are committed to creating a workplace where every team member feels valued and empowered to contribute their best.
Our culture is built on several core values:
- Collaboration: We work together across teams and disciplines to achieve common goals.
- Innovation: We embrace new ideas and encourage creative problem-solving.
- Integrity: We conduct our business with honesty, transparency, and ethical standards.
- Customer Focus: We are dedicated to understanding and exceeding the expectations of our internal and external customers.
- Continuous Learning: We support ongoing professional development and encourage curiosity.
As a remote employee, you will have the flexibility to design your workspace for maximum productivity while staying connected through virtual collaboration tools, regular team meetings, and occasional in-person gatherings.
Compensation & Benefits
arenaflex offers a competitive compensation package designed to attract and retain top talent. The starting hourly rate for this position is $25.00 per hour, with opportunities for overtime and performance-based bonuses. Additionally, we provide a comprehensive benefits package that includes:
- Competitive Pay: Industry-competitive salary with annual performance reviews.
- Health & Wellness: Comprehensive medical, dental, and vision insurance plans. Wellness programs and resources to support your physical and mental health.
- Retirement Plans: 401(k) retirement plan with company matching to help you save for the future.
- Paid Time Off: Generous paid vacation, sick leave, and personal days that increase with tenure.
- Professional Development: Tuition reimbursement and educational assistance for career advancement.
- Employee Assistance Program: Confidential support for personal and professional challenges.
- Stock Purchase Plan: Opportunity to purchase company stock at a discounted rate.
- Recognition Programs: Awards and recognition for exceptional performance and contributions.
- Community Involvement: Paid time off for volunteer activities and community service.
How to Apply
If you are passionate about data engineering, thrive in collaborative environments, and want to be part of a team that is transforming how data drives business value, we encourage you to apply for this exciting opportunity.
To be considered, please submit your updated resume, a cover letter highlighting your relevant experience and why you are excited about joining arenaflex, and any relevant portfolio or project examples that demonstrate your technical capabilities.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and communities.
Join Our Team
This is more than just a job – it's an opportunity to shape the future of data infrastructure at a growing organization. As a Senior Data Engineer at arenaflex, you will tackle complex challenges, work with cutting-edge technologies, and make a meaningful impact on our business and our customers.
We can't wait to see what you'll bring to our team. Apply today and take the first step towards an rewarding career with arenaflex!