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

About arenaflex

arenaflex is a global leader in aviation services, connecting millions of passengers every day through a sophisticated network of routes, technology platforms, and data‑driven decision making. Our mission is to turn complex data into clear, actionable insight that fuels operational excellence, enhances the passenger experience, and drives sustainable growth. As a remote‑first organization, arenaflex empowers its employees to work from anywhere while staying tightly connected to a collaborative, inclusive, and innovative culture.

Why This Role Is a Game‑Changer

At arenaflex you will be at the heart of the Revenue & Planning Innovation team, shaping the data architecture that powers strategic decisions across the company. This is more than a data‑engineer position – it’s an opportunity to:

• Lead the design and implementation of cutting‑edge data pipelines that serve millions of daily transactions.
• Partner directly with product owners, analytics leaders, and business stakeholders to translate business problems into scalable data solutions.
• Influence the evolution of arenaflex’s data‑driven culture by championing best practices in data governance, security, and quality.
• Mentor junior engineers and foster a DevOps mindset across cross‑functional teams.
• Enjoy a fully remote work arrangement with flexible hours, while still feeling part of a vibrant, purpose‑driven community.

Key Responsibilities

Data Platform Design & Development

• Collaborate with source data application teams and product owners to design, build, and maintain robust data ingestion pipelines using Azure services (Azure Data Lake, Azure Data Factory, Azure Event Hub, Azure Databricks, Azure Synapse, etc.).
• Implement end‑to‑end data flows: from raw ingestion, through transformation, to curated analytics layers, ensuring high performance and reliability.
• Develop and maintain both batch and streaming pipelines, leveraging technologies such as Azure Stream Analytics, Kafka, and Spark.
• Write production‑grade code in Python, Scala, and SQL, adhering to clean‑code principles and automated testing standards.

DevOps & Cloud Operations

• Own the CI/CD lifecycle for data pipelines using GitHub, Azure DevOps, Jenkins, and Terraform.
• Monitor, troubleshoot, and optimize pipeline performance, implementing alerting and automated remediation where possible.
• Drive the adoption of infrastructure‑as‑code (IaC) and containerization (Docker, Kubernetes) to improve scalability and reproducibility.
• Enforce security and compliance policies across all data assets, collaborating with the security team to implement data masking, encryption, and access controls.

Collaboration & Mentorship

• Partner with data scientists, BI analysts, and business intelligence teams to understand analytical requirements and translate them into technical specifications.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and knowledge sharing.
• Participate in agile ceremonies, contribute to sprint planning, and help prioritize work based on business impact.

Data Governance & Quality

• Implement data quality frameworks using tools such as Informatica Axon, BigID, and custom validation scripts.
• Document data lineage, metadata, and data models to support transparency and regulatory compliance.
• Collaborate with the data governance council to define and enforce data standards, policies, and best practices.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
• Experience: Minimum 3 years of professional experience developing data pipelines in an Agile/DevOps environment.
• Programming: Proficiency in Python, SQL, and at least one additional language (e.g., Scala, Java, C#).
• Cloud Platforms: Hands‑on experience with Azure data services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Event Hub).
• Data Warehousing: Experience with Snowflake, ADLS, Teradata, or similar data warehouse technologies.
• CI/CD & IaC: Familiarity with GitHub, Azure DevOps, Jenkins, Terraform, and container orchestration.
• Data Modeling & ETL: Strong background in designing and implementing ETL/ELT processes, data modeling, and data lake architecture.

Preferred Qualifications & Skills

• Advanced certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.
• Experience with big‑data technologies like Cassandra, MongoDB, or Hadoop ecosystems.
• Knowledge of BI tools (Power BI, Tableau, Looker) and data visualization best practices.
• Exposure to data governance tools (Informatica Axon, Collibra, BigID) and data cataloging.
• Previous work in the airline or travel industry, understanding of revenue management concepts.
• Strong communication skills, with the ability to convey technical concepts to non‑technical stakeholders.

Core Competencies

• Analytical Thinking: Ability to dissect complex business problems and design data solutions that deliver measurable impact.
• Collaboration: Proven track record of working effectively in cross‑functional, remote teams.
• Adaptability: Comfortable navigating a fast‑changing environment and learning new technologies quickly.
• Ownership: Takes responsibility for end‑to‑end delivery, from design through production support.
• Continuous Improvement: Passion for refining processes, code quality, and operational efficiency.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. In this role you will have access to:

• Annual learning stipend for certifications, conferences, and online courses.
• Mentorship programs pairing you with senior architects and industry experts.
• Opportunities to lead high‑visibility projects that influence company‑wide strategy.
• Rotational programs that allow you to explore data science, analytics, and product management pathways.

Work Environment & Culture

Our remote‑first philosophy means you can work from any location that inspires you, while still feeling part of a cohesive, supportive community. arenaflex promotes:

• Inclusivity: A diverse workforce where every voice is heard and valued.
• Flexibility: Flexible schedules that respect work‑life balance.
• Innovation: A culture that encourages experimentation, rapid prototyping, and learning from failure.
• Collaboration: Regular virtual coffee chats, team‑wide hackathons, and cross‑departmental workshops.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that includes:

• Hourly rate of $27/hr, with eligibility for performance‑based bonuses.
• Comprehensive medical, dental, vision, and tele‑health benefits effective on day one.
• 401(k) plan with company match after one year of service.
• Generous paid time off, parental leave, and flexible holidays.
• Wellness programs, including virtual fitness classes, mental‑health resources, and employee assistance programs.
• Technology stipend for home office setup, high‑speed internet, and ergonomic equipment.
• Employee discount programs for travel, pet insurance, and other lifestyle perks.

How to Apply

If you are ready to leverage your data‑engineering expertise to drive transformative change at a world‑class organization, we want to hear from you. Click the link below to submit your application and join the arenaflex family.

Apply Now

Closing Statement

At arenaflex, your work will directly impact the journeys of millions of travelers worldwide. Join us, grow your career, and help shape the future of aviation data. We look forward to welcoming a passionate, innovative, and collaborative Senior Data Engineer to our remote team.