Part-Time Remote Data Engineer – Cloud Data Lake, ETL, Analytics & Business Intelligence – arenaflex

About arenaflex – Pioneering the Future of Air Travel and Data‑Driven Innovation

arenaflex is a global leader in the aviation industry, renowned for delivering exceptional travel experiences while continuously pushing the boundaries of technology and operational excellence. Our mission is to connect people, places, and possibilities through a seamless blend of hospitality, safety, and cutting‑edge data solutions. As a forward‑thinking organization, arenaflex invests heavily in its people, fostering an environment where creativity, collaboration, and continuous learning are not just encouraged—they are expected.

We believe that our employees are the heart of our success. Whether you’re on the front lines of customer service or behind the scenes engineering the data pipelines that power our business, you will find a supportive workplace that values personal growth, professional development, and a healthy work‑life balance. Join us, and become part of a vibrant community that is shaping the future of travel, one data point at a time.

Position Overview – Part‑Time Remote Data Engineer

arenaflex is seeking a highly motivated, technically proficient Data Engineer to join our dynamic analytics team on a part‑time, remote basis. In this role, you will design, build, and maintain robust data pipelines that enable critical business insights across operations, customer acquisition, and product development. You will work closely with cross‑functional stakeholders—including product managers, data scientists, and engineering leads—to translate complex business requirements into scalable, reliable data solutions.

This position offers the flexibility to work from anywhere while contributing to high‑impact projects that directly influence arenaflex’s strategic decisions. If you thrive in fast‑paced environments, enjoy solving intricate data challenges, and are passionate about leveraging cloud technologies to drive business value, we want to hear from you.

Key Responsibilities

• Data Pipeline Development: Design, implement, and maintain end‑to‑end ETL processes using AWS services (e.g., Glue, Lambda, Redshift) and SQL technologies to ingest, transform, and load large, complex data sets from diverse sources.
• Data Lake Architecture: Build and optimize data lake infrastructure that supports high‑volume, high‑velocity data ingestion while ensuring data quality, security, and compliance.
• Scalable Solutions: Identify, design, and execute internal process improvements, including infrastructure redesign for greater scalability and automation of manual workflows.
• Analytics Enablement: Develop analytical tools and dashboards that surface actionable insights on operational performance, customer acquisition, and revenue metrics.
• Stakeholder Collaboration: Partner with product, design, engineering, and executive teams to understand data requirements, troubleshoot technical issues, and deliver tailored data solutions.
• Vendor Management: Coordinate with external vendors to integrate third‑party data sources and ensure delivery of high‑quality, reliable data services.
• Quality Assurance: Implement unit testing, code quality checks, CI/CD pipelines, and security best practices to maintain a robust and reliable data engineering environment.
• Documentation & Training: Produce clear documentation of data models, pipelines, and processes; mentor junior team members and share knowledge across the organization.
• Ad‑hoc Projects: Support additional process responsibilities as directed by leadership, contributing to broader initiatives that enhance arenaflex’s operational excellence.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field (or equivalent practical experience).
• 3+ years of professional experience designing and operating cloud‑based data infrastructure, preferably on AWS.
• Proven expertise in building ETL pipelines, data lakes, and data warehouses using technologies such as AWS Glue, Redshift, S3, and SQL.
• Hands‑on experience with a variety of file formats (Delimited Text, Fixed Width, XML, JSON, Parquet) and data serialization techniques.
• Strong knowledge of messaging and integration services (e.g., AWS Service Bus, Kafka, or similar) for data ingestion and egress.
• Solid understanding of CI/CD tools, unit testing frameworks, code quality analysis, containerization (Docker, Kubernetes), and security best practices.
• Demonstrated ability to work in Agile environments, participating in sprint planning, daily stand‑ups, retrospectives, and continuous improvement activities.
• Excellent problem‑solving skills with a data‑driven mindset; ability to analyze complex issues, identify root causes, and propose effective solutions.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to non‑technical stakeholders.

Preferred Qualifications & Additional Skills

• Experience with additional cloud platforms (Azure, Google Cloud) and multi‑cloud strategies.
• Familiarity with big‑data processing frameworks such as Apache Spark, Hadoop, or Flink.
• Knowledge of data governance, data lineage, and compliance standards (e.g., GDPR, CCPA).
• Background in the travel, hospitality, or airline industry, providing context for business‑specific data challenges.
• Certification in AWS (e.g., AWS Certified Data Analytics – Specialty) or related cloud credentials.
• Proficiency in Python, Scala, or Java for data transformation and pipeline orchestration.

Core Competencies & Personal Attributes

• Analytical Thinking: Ability to dissect large data sets, recognize patterns, and derive meaningful insights that drive strategic decisions.
• Innovation: A proactive attitude toward exploring new technologies and methodologies that can improve data processing efficiency.
• Collaboration: Strong team player who thrives in cross‑functional environments and values diverse perspectives.
• Adaptability: Comfortable navigating ambiguous requirements and shifting priorities in a fast‑moving industry.
• Integrity & Accountability: Commitment to delivering high‑quality work, meeting deadlines, and taking ownership of outcomes.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is limited only by your ambition. As a Data Engineer, you will have access to:

• Mentorship from senior data architects and industry veterans.
• Continuous learning budgets for certifications, conferences, and online courses.
• Opportunities to lead high‑visibility projects that influence company‑wide strategy.
• Cross‑departmental rotations that broaden your skill set and deepen your business acumen.
• A clear promotion pathway from Junior Engineer to Senior Engineer, Lead Engineer, and eventually Data Architecture or Product Management roles.

Work Environment & Culture at arenaflex

arenaflex embraces a flexible, inclusive, and employee‑first culture. Our remote‑first policy ensures you have the tools, resources, and support needed to succeed from any location. We celebrate diversity, encourage open dialogue, and foster a collaborative atmosphere where every voice matters.

Key cultural pillars include:

• Respect & Inclusion: A workplace where differences are valued and everyone feels a sense of belonging.
• Innovation & Curiosity: Encouragement to experiment, fail fast, and iterate toward better solutions.
• Work‑Life Harmony: Flexible scheduling, generous paid time off, and a focus on mental and physical well‑being.
• Community Impact: Opportunities to contribute to sustainability initiatives and community outreach programs.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your expertise and the value you bring to the organization. While specific salary details will be discussed during the interview process, you can expect:

• Competitive hourly wage or part‑time salary aligned with industry standards.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options, including a 401(k) match up to 9.3% of eligible compensation.
• Potential profit‑sharing contributions that align your success with the company’s performance.
• Generous paid time off, holidays, and flexible scheduling to support personal commitments.
• Travel benefits: complimentary flight privileges on arenaflex flights for you and eligible dependents.
• Professional development budget for certifications, training, and conferences.
• Access to cutting‑edge technology, tools, and a collaborative virtual workspace.

Equal Opportunity & Diversity Commitment

arenaflex is an Equal Opportunity Employer. We are dedicated to building a workforce that mirrors the diverse communities we serve. Candidates of all backgrounds, experiences, and perspectives are encouraged to apply. We celebrate individuality and strive to create an environment where everyone can thrive.

How to Apply

If you are excited about leveraging your data engineering expertise to drive meaningful impact at a leading aviation company, we invite you to join the arenaflex family. Click the link below to submit your application, and let’s embark on this journey together.

Apply Now – Become a Part‑Time Remote Data Engineer at arenaflex

Take the Next Step – Your Future Awaits at arenaflex

At arenaflex, your work matters. You will be part of a forward‑thinking team that transforms raw data into strategic insight, empowering the organization to deliver exceptional travel experiences worldwide. Don’t miss the chance to grow your career, expand your skill set, and make a lasting impact. Apply today and start shaping the future of data‑driven aviation with arenaflex.