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Remote Senior Data Engineer – Large‑Scale Data Pipelines, AWS & SQL, 24 $/hr – arenaflex

Work from home Full-time role Hiring
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About arenaflex – Pioneering the Future of Travel Data

arenaflex is a global leader in the aviation industry, delivering innovative travel experiences to millions of passengers every day. Our mission is to transform the way people move through the skies by leveraging cutting‑edge technology, data‑driven insights, and a relentless focus on customer delight. As a remote‑first organization, arenaflex empowers its employees to work from anywhere while staying deeply connected to a vibrant, collaborative culture that values curiosity, integrity, and continuous improvement.

Why This Role Matters

In today’s data‑centric world, the ability to collect, process, and analyze massive volumes of information is a competitive advantage. As a Senior Data Engineer at arenaflex, you will be at the heart of our data ecosystem, designing and operating the pipelines that power critical business decisions—from operational efficiency to passenger experience. Your work will directly influence how arenaflex scales its services, optimizes routes, and delivers personalized offers to travelers worldwide.

Key Responsibilities

  • Architect, build, and maintain robust, high‑throughput data pipelines that ingest, transform, and store petabytes of structured and unstructured data from diverse sources.
  • Collaborate with cross‑functional teams—including product, analytics, engineering, and operations—to understand data requirements and translate them into scalable solutions.
  • Design and implement data models in Amazon Redshift, Snowflake, or similar cloud data warehouses, ensuring optimal performance for analytical workloads.
  • Develop and enforce best practices for data quality, lineage, and governance, leveraging tools such as Apache Airflow, dbt, and AWS Glue.
  • Lead the migration of legacy ETL processes to modern, serverless architectures using AWS Lambda, Step Functions, and containerized services.
  • Mentor junior engineers, conduct code reviews, and champion a culture of engineering excellence and continuous learning.
  • Partner with external vendors and technology providers to integrate third‑party data feeds, ensuring seamless onboarding and reliable delivery.
  • Provide actionable insights to senior leadership by building dashboards and reporting solutions that surface key performance indicators (KPIs) such as flight punctuality, load factor, and customer acquisition cost.
  • Stay abreast of emerging data technologies, evaluate their relevance to arenaflex’s roadmap, and propose strategic adoption plans.
  • Participate in on‑call rotations and incident response, applying root‑cause analysis to resolve data pipeline failures quickly and prevent recurrence.

Essential Qualifications

  • Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • Experience: Minimum 5 years of hands‑on experience designing and operating large‑scale data pipelines in a cloud environment (AWS preferred).
  • Technical Skills: Proficiency with SQL, Python, and/or Scala; deep understanding of relational and NoSQL databases; expertise in AWS services such as S3, Redshift, Athena, and Kinesis.
  • Tooling: Demonstrated use of orchestration platforms (Airflow, Prefect), version control (Git), and CI/CD pipelines for data engineering.
  • Analytical Acumen: Ability to translate complex business problems into data‑driven solutions, with a strong focus on performance, reliability, and scalability.
  • Communication: Excellent written and verbal communication skills, capable of articulating technical concepts to non‑technical stakeholders.

Preferred Qualifications & Additional Skills

  • Master’s degree or advanced certifications in data engineering, cloud architecture, or big data technologies.
  • Experience with streaming data platforms (Kafka, Kinesis Data Streams) and real‑time analytics.
  • Familiarity with machine learning pipelines and collaboration with data science teams.
  • Knowledge of data privacy regulations (GDPR, CCPA) and implementation of compliance controls.
  • Track record of leading cross‑functional initiatives and delivering measurable business impact.

Core Competencies & Personal Attributes

  • Problem‑Solving Mindset: Recognize complex issues, dissect root causes, and devise elegant, data‑centric solutions.
  • Strategic Thinking: Anticipate future data needs, design flexible architectures, and influence roadmap decisions.
  • Collaboration: Work fluidly with product owners, engineers, and external partners to align on goals and deliver results.
  • Adaptability: Thrive in a fast‑paced, remote environment, balancing multiple priorities while maintaining high quality.
  • Attention to Detail: Ensure data integrity, accuracy, and consistency across all stages of the pipeline.
  • Leadership: Guide teams through technical challenges, foster mentorship, and champion continuous improvement.

Compensation, Benefits & Perks

arenaflex offers a competitive hourly rate of $24, complemented by a comprehensive benefits package that includes:

  • Health, dental, and vision insurance with generous employer contributions.
  • Retirement savings plan with company match.
  • Paid time off, holidays, and flexible work schedules to support work‑life balance.
  • Professional development stipend for certifications, conferences, and online courses.
  • Remote‑work allowance covering home office setup, high‑speed internet, and ergonomic equipment.
  • Employee assistance program, wellness resources, and mental‑health support.
  • Opportunities to earn performance bonuses based on project milestones and business outcomes.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by your ambition and the impact you create. As a senior data engineer, you will have pathways to:

  • Lead a data engineering squad, overseeing end‑to‑end pipeline delivery.
  • Transition into a data architecture role, defining enterprise‑wide data standards.
  • Collaborate closely with data science teams to become a machine‑learning engineering specialist.
  • Influence product strategy as a technical advisor to senior leadership.
  • Participate in global hackathons, innovation labs, and cross‑regional projects.

Work Environment & Culture at arenaflex

arenaflex prides itself on an inclusive, high‑performance culture where every voice matters. Our remote‑first model is built on trust, transparency, and frequent virtual interactions. Employees enjoy:

  • Regular town‑hall meetings with the executive team to discuss vision, milestones, and Q&A sessions.
  • Virtual coffee chats, mentorship programs, and employee resource groups that celebrate diversity.
  • Collaborative tools (Slack, Microsoft Teams, Confluence) that keep teams connected across time zones.
  • A focus on outcomes rather than hours, empowering you to deliver your best work on your own schedule.

Application Process

If you are passionate about turning massive data sets into strategic assets and want to join a forward‑thinking organization that values innovation, apply today. Submit your resume, a brief cover letter highlighting your most relevant projects, and any portfolio or GitHub links that showcase your data engineering expertise.

Apply Job!

Join arenaflex – Shape the Future of Air Travel

We are excited to meet talented engineers who are eager to make a tangible difference in the aviation industry. At arenaflex, your work will travel the world, powering the journeys of millions while advancing your own professional growth. Take the next step in your career and become part of a team that’s redefining what’s possible with data.

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