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Senior Remote Data Engineer – Cloud‑Native Data Platform & Analytics Solutions – $27/hr – arenaflex

Work from home Full-time role Hiring

About arenaflex

arenaflex is a global leader in aviation, connecting millions of passengers every day across continents. Our mission is to deliver safe, reliable, and innovative air travel experiences while continuously pushing the boundaries of technology. As part of our ongoing digital transformation, arenaflex is building a next‑generation data platform that powers everything from operational decision‑making to customer personalization. Join a forward‑thinking team that values curiosity, collaboration, and continuous learning.

Why This Role Is Exciting

At arenaflex you will be at the heart of the Revenue & Planning Innovation group, helping to shape a data‑driven culture. You’ll design, implement, and maintain sophisticated data pipelines that turn raw flight, booking, and operational data into actionable insights. This role offers the perfect blend of technical challenge, strategic impact, and the flexibility of remote work.

Role Overview

We are seeking a Senior Data Engineer who thrives in a cloud‑first environment and can translate complex business requirements into scalable data solutions. You will work closely with data scientists, product owners, and engineering teams to deliver end‑to‑end data platforms that enable real‑time analytics, predictive modeling, and self‑service BI across the organization.

Key Responsibilities

  • Partner with source data application teams and product owners to design, develop, and maintain robust data ingestion pipelines using Azure Data Factory, Azure Event Hub, and Azure Databricks.
  • Implement data lake storage solutions on Azure Data Lake Storage (ADLS) and manage data warehousing layers in Azure Synapse Analytics and Snowflake.
  • Build and optimize both batch and streaming data workflows, ensuring high reliability, low latency, and compliance with security standards.
  • Develop CI/CD pipelines with Azure DevOps, GitHub, Jenkins, and Terraform to automate deployment, testing, and monitoring of data solutions.
  • Design data models, data marts, and curated data sets that support analytics, reporting, and machine‑learning initiatives.
  • Collaborate with cross‑functional teams to define data quality metrics, implement data profiling, and enforce governance policies using tools such as Informatica Axon and BigID.
  • Provide technical mentorship, conduct knowledge‑sharing sessions, and champion best practices in coding, testing, and security.
  • Participate in on‑call rotations and incident response for data platform reliability, troubleshooting performance bottlenecks, and driving continuous improvement.
  • Document architecture diagrams, data flow specifications, and operational runbooks to ensure clear communication across stakeholders.

Essential Qualifications

  • Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related technical discipline.
  • Experience: Minimum 3 years of hands‑on data engineering experience building large‑scale data pipelines in a cloud environment (Azure preferred).
  • Programming: Proficiency in Python, SQL, and experience with scripting languages such as Bash or PowerShell.
  • Data Platforms: Demonstrated experience with Azure Data Lake, Azure Data Factory, Azure Synapse, Snowflake, or equivalent data warehousing technologies.
  • Streaming Technologies: Experience building real‑time pipelines using Azure Event Hub, Azure Stream Analytics, or Apache Kafka.
  • DevOps & CI/CD: Hands‑on experience with Azure DevOps, GitHub, Jenkins, Terraform, and containerization (Docker, Kubernetes).
  • Data Modeling & ETL: Strong background in designing dimensional models, star schemas, and implementing ETL/ELT processes.
  • BI Tools: Familiarity with Power BI, Tableau, or Looker for delivering self‑service analytics.

Preferred Qualifications

  • Advanced certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or equivalent.
  • Experience with additional cloud platforms (AWS, GCP) and multi‑cloud data strategies.
  • Knowledge of data governance frameworks and tools (Informatica, Collibra, DataHub).
  • Exposure to machine‑learning pipelines and collaboration with data science teams.
  • Background in the aviation or transportation industry, understanding of flight operations data.
  • Strong communication skills with the ability to translate technical concepts for non‑technical audiences.

Core Skills & Competencies

  • Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑centric solutions.
  • Collaboration: Proven track record of working in agile, cross‑functional teams and fostering a culture of shared ownership.
  • Adaptability: Comfortable navigating fast‑changing priorities and evolving technology landscapes.
  • Quality Focus: Commitment to writing clean, testable code and implementing automated testing frameworks.
  • Security Mindset: Understanding of data privacy regulations (GDPR, CCPA) and implementation of security best practices.
  • Leadership: Experience mentoring junior engineers and leading technical discussions.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $27 per hour along with a comprehensive benefits package that includes:

  • Medical, dental, vision, and tele‑health coverage from day one.
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
  • 401(k) plan with company match after one year of service.
  • Generous paid time off, holidays, and remote‑work flexibility.
  • Professional development stipend, certification reimbursements, and access to online learning platforms.
  • Employee Assistance Program (EAP), pet insurance, and travel discounts.
  • Wellness initiatives, virtual fitness classes, and mental‑health resources.

Career Growth & Learning Opportunities

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

  • Mentorship from industry leaders in data architecture and cloud engineering.
  • Opportunities to lead high‑visibility projects that directly influence business strategy.
  • Cross‑departmental rotations to broaden your expertise in analytics, AI, and product development.
  • Regular hackathons, tech talks, and community events to keep you at the cutting edge of data technology.

Work Environment & Culture

Our culture is built on inclusion, curiosity, and a relentless drive for excellence. At arenaflex you will experience:

  • A collaborative, globally distributed team that values diverse perspectives.
  • Transparent communication from leadership, with regular town‑halls and open‑door policies.
  • Recognition programs that celebrate both individual achievements and team milestones.
  • Flexibility to work from anywhere in the United States while staying connected through modern collaboration tools.

How to Apply

If you are ready to shape the future of data at a world‑class airline, we want to hear from you. Bring your expertise, curiosity, and passion for building data platforms that power real‑time decision‑making. Apply today and become a pivotal part of arenaflex’s digital transformation journey.

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