Remote Senior Data Engineer – Advanced Data Pipeline Design & Automation (AWS/SQL) – $24/hr – arenaflex

About arenaflex – Pioneering the Future of Travel Data

arenaflex is a global leader in the aviation industry, renowned for its innovative approach to connecting people and places. With a commitment to safety, reliability, and cutting‑edge technology, arenaflex continuously transforms the way millions of travelers experience flight. As part of its digital transformation journey, arenaflex is expanding its data engineering team to build robust, scalable pipelines that turn raw data into actionable insights. If you thrive in a fast‑paced, remote environment and love turning complex data challenges into elegant solutions, this is the opportunity you’ve been waiting for.

Position Overview

We are seeking a Senior Data Engineer to lead the design, development, and optimization of large‑scale data pipelines that support arenaflex’s operational, commercial, and customer‑experience initiatives. This remote, full‑time role offers a competitive hourly rate of $24 and the flexibility to work from anywhere in the United States, with a primary focus on the Dallas hub.

Key Responsibilities

• Gather, ingest, and transform massive, complex data sets from multiple internal and external sources to satisfy both functional and analytical business requirements.
• Design, implement, and maintain end‑to‑end data pipelines using AWS services (e.g., S3, Glue, Lambda, Redshift) and SQL technologies, ensuring high availability and low latency.
• Identify, architect, and execute internal process improvements—including redesigning data models for greater flexibility, enhancing data delivery speed, and automating manual workflows.
• Develop reusable data extraction, transformation, and loading (ETL) frameworks that enable rapid onboarding of new data sources.
• Collaborate closely with cross‑functional partners—including data science, product, engineering, and business intelligence teams—to understand data needs and deliver reliable solutions.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and best‑practice adherence.
• Partner with external vendors and technology providers to integrate third‑party data feeds, ensuring seamless data flow and compliance with security standards.
• Monitor pipeline performance, troubleshoot issues proactively, and implement robust logging and alerting mechanisms.
• Contribute to the evolution of arenaflex’s data strategy by recommending new tools, technologies, and architectural patterns.
• Perform additional duties as assigned by leadership, aligning with the broader mission of arenaflex.

Essential Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Minimum of 5 years of hands‑on experience building and maintaining data pipelines in a production environment.
• Proficiency with AWS data services (S3, Redshift, Athena, Glue, Lambda) and strong SQL expertise (PostgreSQL, MySQL, or similar).
• Demonstrated ability to work with large, heterogeneous data sets and to design scalable, fault‑tolerant architectures.
• Solid understanding of data modeling concepts, including normalization, denormalization, and star/snowflake schemas.
• Experience with data orchestration tools such as Apache Airflow, Prefect, or AWS Step Functions.
• Excellent problem‑solving skills, with a track record of diagnosing complex data issues and delivering effective solutions.
• Strong communication abilities—able to translate technical concepts for non‑technical stakeholders.

Preferred Qualifications

• Master’s degree or relevant certifications (e.g., AWS Certified Data Analytics – Specialty).
• Familiarity with streaming platforms (Kafka, Kinesis) and real‑time analytics.
• Experience with Python or Scala for data processing and automation.
• Background in the travel, airline, or logistics industries, providing domain insight into operational metrics.
• Knowledge of data governance, security, and compliance frameworks (GDPR, CCPA).

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, evaluate alternatives, and implement data‑driven solutions.
• Collaboration: Proven track record of working effectively with cross‑functional teams and external partners.
• Automation Mindset: Passion for eliminating manual processes through code, scripts, and orchestration tools.
• Adaptability: Comfort navigating ambiguous requirements and evolving priorities in a dynamic environment.
• Leadership: Experience guiding teams, providing mentorship, and influencing technical direction.
• Attention to Detail: Commitment to data quality, accuracy, and consistency across all pipelines.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. As a Senior Data Engineer, you will have access to:

• Annual learning stipend for conferences, certifications, or advanced coursework.
• Mentorship programs pairing you with senior architects and industry experts.
• Opportunities to lead high‑visibility projects that directly impact arenaflex’s global operations.
• Cross‑departmental rotations to broaden your understanding of product, finance, and customer experience domains.
• Regular hackathons and innovation challenges that encourage creative problem‑solving.

Work Environment & Culture at arenaflex

arenaflex prides itself on a collaborative, inclusive, and forward‑thinking culture. Even though this role is remote, you will be integrated into a vibrant virtual community that values:

• Flexibility: Choose your own work hours within the standard 8‑hour day to maintain work‑life balance.
• Transparency: Open communication channels with leadership, regular town‑halls, and clear roadmaps.
• Diversity & Inclusion: A workplace where diverse perspectives are celebrated and every voice matters.
• Recognition: Programs that acknowledge outstanding contributions, from peer‑to‑peer shout‑outs to formal awards.
• Well‑being: Access to mental‑health resources, virtual fitness classes, and wellness challenges.

Compensation, Perks & Benefits

arenaflex offers a comprehensive package designed to attract and retain top talent:

• Competitive Pay: $24 per hour, paid bi‑weekly, with performance‑based bonuses.
• Health Coverage: Medical, dental, and vision plans with multiple options to suit individual needs.
• Retirement Savings: 401(k) plan with company match to help you build a secure future.
• Travel Benefits: Complimentary or heavily discounted flights for you and eligible family members—a unique perk in the airline industry.
• Paid Time Off: Generous vacation days, sick leave, and paid holidays, with additional time off for long‑service milestones.
• Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
• Stock Purchase Plan: Opportunity to buy arenaflex stock at a discount, aligning your success with the company’s growth.
• Education Reimbursement: Tuition assistance for continued education, certifications, or degree programs.
• Community Involvement: Paid volunteer days and support for local community initiatives.

Why Join arenaflex?

At arenaflex, you will be part of a mission‑driven organization that is reshaping the travel experience for millions of passengers worldwide. Your work will directly influence operational efficiency, customer satisfaction, and strategic decision‑making. If you are passionate about data, love solving intricate problems, and thrive in a remote, collaborative setting, arenaflex offers the platform to accelerate your career while making a tangible impact on a global scale.

Application Process

Ready to take the next step? Submit your resume and a concise cover letter highlighting your most relevant data engineering achievements. Our talent acquisition team will review your application, conduct a technical interview, and schedule a virtual meet‑and‑greet with the hiring manager.

Take Action Today

Don’t miss the chance to join arenaflex’s dynamic data team and help shape the future of aviation. Click the link below to apply now and start your journey with a company that values innovation, people, and the power of data.

Apply for the Senior Data Engineer Position