About careerzynith – Pioneering the Future of Air Travel
careerzynith is a global leader in the aviation industry, connecting millions of passengers across continents every day. With a relentless focus on safety, innovation, and customer experience, careerzynith leverages cutting‑edge technology to keep its fleet soaring and its operations running smoothly. As part of careerzynith’s digital transformation journey, the company is building a data‑driven culture that turns massive streams of information into actionable insights, empowering smarter decisions across the enterprise.
Our Revenue & Scheduling Innovation team is at the heart of this transformation. We are looking for a highly skilled Senior Data Engineer who thrives in a fast‑paced, collaborative environment and is eager to shape the next generation of data platforms that power careerzynith’s global operations.
Why You’ll Love This Role at careerzynith
- Impactful Work: Design and implement data solutions that directly influence flight scheduling, revenue management, and passenger experience for a world‑class airline.
- Cutting‑Edge Technology: Work with Azure Data Lake, Azure Databricks, Azure Synapse, Snowflake, Kafka, and a modern DevOps stack.
- Growth Opportunities: Access to continuous learning programs, certifications, and mentorship from industry veterans.
- Remote Flexibility: Enjoy the freedom to work from anywhere in the United States while staying connected to a vibrant, global team.
- Competitive Compensation: Earn $27 per hour plus a comprehensive benefits package that supports your health, wealth, and well‑being.
Key Responsibilities
As a Senior Data Engineer at careerzynith, you will be a cornerstone of the data platform team. Your day‑to‑day responsibilities will include:
- Partnering with source data application teams and product owners to design, develop, and maintain scalable data pipelines that ingest, transform, and expose data for analytics and reporting.
- Implementing end‑to‑end data solutions on Azure, including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure Event Hubs, and Azure Databricks.
- Building and optimizing both batch and streaming pipelines using technologies such as Kafka, Spark, and Azure Stream Analytics.
- Ensuring data quality, reliability, and security by applying best‑in‑class data governance practices and leveraging tools like Azure Purview, Informatica Axon, and BigID.
- Developing CI/CD pipelines with GitHub, Jenkins, Azure DevOps, and Terraform to automate deployment, testing, and monitoring of data workloads.
- Collaborating with BI teams to deliver self‑service analytics using Power BI, Tableau, and Looker, and providing data models that enable business users to explore insights independently.
- Mentoring junior engineers, conducting code reviews, and championing a culture of continuous improvement, clean code, and robust documentation.
- Participating in on‑call rotations and incident response, ensuring rapid resolution of data platform issues and minimizing downtime.
- Driving innovation by evaluating emerging technologies, prototyping new solutions, and recommending enhancements that keep careerzynith at the forefront of data engineering.
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 experience developing data pipelines in an Agile, DevOps‑oriented environment.
- SQL Proficiency: Strong command of SQL for data extraction, transformation, and analysis.
- Programming Skills: Expertise in Python and/or Scala for building data processing jobs.
- Cloud Platforms: Demonstrated experience with Azure services (Data Lake, Data Factory, Synapse, Databricks, Event Hubs) or comparable cloud ecosystems.
- Data Storage Technologies: Familiarity with relational and NoSQL databases such as SQL Server, Snowflake, Teradata, Cassandra, MongoDB, and ADLS.
- Version Control & CI/CD: Proficiency with Git, GitHub, Jenkins, Azure DevOps, and Terraform for infrastructure as code.
- Data Governance: Understanding of data cataloging, lineage, and security frameworks (e.g., Azure Purview, Informatica Axon).
Preferred Qualifications & Additional Skills
- Advanced certifications such as Microsoft Azure Data Engineer Associate, Azure DevOps Engineer Expert, or related cloud credentials.
- Experience with big‑data processing frameworks like Apache Spark, Flink, or Hadoop.
- Hands‑on exposure to BI and visualization tools: Power BI, Tableau, Cognos, or Looker.
- Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads.
- Background in the airline or transportation industry, understanding of flight operations, revenue management, or passenger analytics.
- Strong communication skills, with the ability to translate technical concepts into business value for non‑technical stakeholders.
Core Competencies for Success
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant solutions.
- Collaboration: Comfortable working in cross‑functional teams, building consensus, and fostering a shared sense of ownership.
- Adaptability: Thrive in a dynamic environment where priorities shift quickly and new challenges emerge daily.
- Ownership: Take full responsibility for the lifecycle of data pipelines—from design through production monitoring and continuous improvement.
- Continuous Learning: Passion for staying current with emerging data technologies, industry trends, and best practices.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Engineer, you will have access to:
- Annual training budgets for certifications, conferences, and online courses.
- Mentorship programs pairing you with senior architects and data science leaders.
- Opportunities to lead high‑visibility projects that influence company‑wide strategy.
- Rotational assignments across different business units (e.g., flight operations, customer experience) to broaden your domain expertise.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $27, complemented by a robust benefits package designed to support your health, financial security, and work‑life balance:
- Health & Wellness: Medical, dental, vision coverage from day one, plus telehealth services and flexible spending accounts.
- Retirement Savings: 401(k) plan with company match after one year of service.
- Paid Time Off: Generous vacation, sick leave, and holidays to recharge and spend time with loved ones.
- Employee Assistance Program: Confidential counseling, legal support, and financial advice.
- Pet Insurance, Travel Discounts, and Mobility Allowances: Additional perks that make everyday life easier.
- Learning Resources: Access to internal learning portals, technical libraries, and community events.
Work Environment & Culture at careerzynith
At careerzynith, diversity and inclusion are not just buzzwords—they are core pillars of our culture. Our 20+ Employee Resource Groups (ERGs) provide platforms for employees to connect, share experiences, and drive positive change across the organization. The company’s collaborative atmosphere encourages open dialogue, innovation, and a sense of belonging.
Our remote‑first policy is backed by state‑of‑the‑art collaboration tools, regular virtual coffee chats, and quarterly in‑person meet‑ups that foster team cohesion. Whether you are a seasoned data professional or an emerging talent, you will find a supportive environment that celebrates curiosity, respects work‑life balance, and rewards excellence.
How to Apply
If you are ready to take your data engineering career to new heights and contribute to the world’s largest airline network, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for careerzynith’s data‑driven future.
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