Remote Senior Data Engineer – Cloud Data Platform & Analytics (careerzynith) – $27/hr
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About careerzynith – Pioneering the Future of Aviation Data
careerzynith is a global leader in aviation, connecting millions of passengers every day through a sophisticated network of flights, technology, and data‑driven insights. Our mission is to make air travel safer, more efficient, and more enjoyable by leveraging cutting‑edge data platforms, cloud technologies, and a culture of continuous innovation. As part of the Revenue & Planning Innovation team, you will help shape the data foundation that powers strategic decisions across the entire organization.
Why This Role Is a Game‑Changer
At careerzynith you will:
Drive the design and implementation of enterprise‑scale data engineering solutions that enable real‑time analytics and predictive modeling.
Collaborate with product owners, data scientists, and business stakeholders to translate complex business problems into scalable data pipelines.
Play a pivotal role in building a data‑centric culture where insights are easily accessible and actionable for every department.
Work with a diverse, high‑performing team that values curiosity, collaboration, and continuous learning.
Key Responsibilities
Data Platform Architecture & Development
Partner with source data application teams and product owners to design, develop, and maintain robust data pipelines that ingest, transform, and expose data for analytics and reporting.
Implement end‑to‑end data solutions using the careerzynith cloud stack, including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Event Hub, Azure Databricks, and Azure Functions.
Build and optimize both batch and streaming pipelines, ensuring high throughput, low latency, and fault‑tolerant processing.
Develop data models, schemas, and governance frameworks that support self‑service analytics while maintaining data quality and security.
DevOps & Cloud Operations
Own the full lifecycle of data solutions: planning, architecture, ingestion, preparation, testing, CI/CD pipelines, performance tuning, deployment, monitoring, and incident response.
Collaborate with the DevOps team to automate infrastructure provisioning using Terraform, Azure DevOps, and GitHub Actions.
Establish and enforce coding standards, best practices, and security policies across the data engineering community.
Mentor junior engineers and share domain expertise to foster a culture of knowledge sharing and continuous improvement.
Analytics Enablement & Business Intelligence
Work closely with BI developers and data analysts to deliver reliable data sets for tools such as Power BI, Tableau, Cognos, and Alteryx.
Implement monitoring and alerting solutions (e.g., Grafana, Azure Monitor) to proactively detect anomalies and ensure data pipeline reliability.
Support data cataloging and lineage tracking using tools like Informatica Axon and Azure Purview.
Essential Qualifications
Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
Experience: Minimum 3 years of hands‑on data engineering experience building large‑scale data pipelines in a cloud environment.
Programming: Proficiency in Python, SQL, and familiarity with Unix/Linux scripting.
Data Platforms: Experience with Azure Data Lake, Azure Synapse, Azure Databricks, Snowflake, or similar data warehouse technologies.
Streaming Technologies: Hands‑on experience with Azure Event Hub, Kafka, or comparable streaming platforms.
DevOps Tools: Familiarity with GitHub, Jenkins, Azure DevOps, Terraform, and CI/CD concepts.
BI Tools: Exposure to Power BI, Tableau, Cognos, Alteryx, or similar reporting solutions.
Preferred Qualifications & Additional Skills
Advanced certifications such as Azure Data Engineer Associate, Azure DevOps Engineer Expert, or equivalent.
Experience with data governance and data quality frameworks (e.g., Informatica Axon, Azure Purview).
Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads.
Background in the aviation or transportation industry, understanding of flight operations data, revenue management, or scheduling systems.
Strong problem‑solving abilities, with a track record of delivering innovative solutions under tight deadlines.
Core Skills & Competencies
Analytical Mindset: Ability to dissect complex data problems and design elegant, scalable solutions.
Collaboration: Excellent communication skills to work effectively with cross‑functional teams, including product owners, data scientists, and business leaders.
Adaptability: Comfortable navigating a fast‑paced environment where priorities shift based on business needs.
Leadership: Proactive in mentoring peers, driving best practices, and championing data‑driven decision making.
Security Awareness: Understanding of data privacy regulations and ability to implement secure data pipelines.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Engineer you will have access to:
Continuous learning budgets for certifications, conferences, and online courses.
Mentorship programs that pair you with senior architects and industry experts.
Opportunities to lead high‑visibility projects that directly impact global revenue and operational efficiency.
Rotational assignments across different business units, allowing you to broaden your expertise in areas such as revenue management, flight operations, and customer experience.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage curiosity, and empower every employee to make meaningful contributions. Remote work is fully supported, with flexible hours that respect work‑life balance. You will be part of a collaborative, globally distributed team that values transparency, continuous feedback, and a shared commitment to excellence.
Compensation, Perks & Benefits
Competitive Pay: $27 per hour, with performance‑based bonuses.
Health & Wellness: Comprehensive medical, dental, vision, and telehealth benefits from day one.
Retirement Savings: 401(k) plan with company match after one year of service.
Paid Time Off: Generous vacation, sick leave, and holidays to support rest and rejuvenation.
Learning & Development: Access to a vast library of training resources, certification reimbursement, and internal tech talks.
Employee Assistance: Confidential counseling, pet insurance, and travel discounts.
Technology Stipend: Home office equipment allowance to create an ergonomic remote workspace.
How to Apply
If you are ready to leverage your data engineering expertise to drive transformative change at a world‑class aviation leader, we want to hear from you. Join careerzynith and become part of a team that is shaping the future of air travel through data.
Apply Now!
```
Apply for this job
About careerzynith – Pioneering the Future of Aviation Data
careerzynith is a global leader in aviation, connecting millions of passengers every day through a sophisticated network of flights, technology, and data‑driven insights. Our mission is to make air travel safer, more efficient, and more enjoyable by leveraging cutting‑edge data platforms, cloud technologies, and a culture of continuous innovation. As part of the Revenue & Planning Innovation team, you will help shape the data foundation that powers strategic decisions across the entire organization.
Why This Role Is a Game‑Changer
At careerzynith you will:
Drive the design and implementation of enterprise‑scale data engineering solutions that enable real‑time analytics and predictive modeling.
Collaborate with product owners, data scientists, and business stakeholders to translate complex business problems into scalable data pipelines.
Play a pivotal role in building a data‑centric culture where insights are easily accessible and actionable for every department.
Work with a diverse, high‑performing team that values curiosity, collaboration, and continuous learning.
Key Responsibilities
Data Platform Architecture & Development
Partner with source data application teams and product owners to design, develop, and maintain robust data pipelines that ingest, transform, and expose data for analytics and reporting.
Implement end‑to‑end data solutions using the careerzynith cloud stack, including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Event Hub, Azure Databricks, and Azure Functions.
Build and optimize both batch and streaming pipelines, ensuring high throughput, low latency, and fault‑tolerant processing.
Develop data models, schemas, and governance frameworks that support self‑service analytics while maintaining data quality and security.
DevOps & Cloud Operations
Own the full lifecycle of data solutions: planning, architecture, ingestion, preparation, testing, CI/CD pipelines, performance tuning, deployment, monitoring, and incident response.
Collaborate with the DevOps team to automate infrastructure provisioning using Terraform, Azure DevOps, and GitHub Actions.
Establish and enforce coding standards, best practices, and security policies across the data engineering community.
Mentor junior engineers and share domain expertise to foster a culture of knowledge sharing and continuous improvement.
Analytics Enablement & Business Intelligence
Work closely with BI developers and data analysts to deliver reliable data sets for tools such as Power BI, Tableau, Cognos, and Alteryx.
Implement monitoring and alerting solutions (e.g., Grafana, Azure Monitor) to proactively detect anomalies and ensure data pipeline reliability.
Support data cataloging and lineage tracking using tools like Informatica Axon and Azure Purview.
Essential Qualifications
Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
Experience: Minimum 3 years of hands‑on data engineering experience building large‑scale data pipelines in a cloud environment.
Programming: Proficiency in Python, SQL, and familiarity with Unix/Linux scripting.
Data Platforms: Experience with Azure Data Lake, Azure Synapse, Azure Databricks, Snowflake, or similar data warehouse technologies.
Streaming Technologies: Hands‑on experience with Azure Event Hub, Kafka, or comparable streaming platforms.
DevOps Tools: Familiarity with GitHub, Jenkins, Azure DevOps, Terraform, and CI/CD concepts.
BI Tools: Exposure to Power BI, Tableau, Cognos, Alteryx, or similar reporting solutions.
Preferred Qualifications & Additional Skills
Advanced certifications such as Azure Data Engineer Associate, Azure DevOps Engineer Expert, or equivalent.
Experience with data governance and data quality frameworks (e.g., Informatica Axon, Azure Purview).
Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads.
Background in the aviation or transportation industry, understanding of flight operations data, revenue management, or scheduling systems.
Strong problem‑solving abilities, with a track record of delivering innovative solutions under tight deadlines.
Core Skills & Competencies
Analytical Mindset: Ability to dissect complex data problems and design elegant, scalable solutions.
Collaboration: Excellent communication skills to work effectively with cross‑functional teams, including product owners, data scientists, and business leaders.
Adaptability: Comfortable navigating a fast‑paced environment where priorities shift based on business needs.
Leadership: Proactive in mentoring peers, driving best practices, and championing data‑driven decision making.
Security Awareness: Understanding of data privacy regulations and ability to implement secure data pipelines.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Engineer you will have access to:
Continuous learning budgets for certifications, conferences, and online courses.
Mentorship programs that pair you with senior architects and industry experts.
Opportunities to lead high‑visibility projects that directly impact global revenue and operational efficiency.
Rotational assignments across different business units, allowing you to broaden your expertise in areas such as revenue management, flight operations, and customer experience.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage curiosity, and empower every employee to make meaningful contributions. Remote work is fully supported, with flexible hours that respect work‑life balance. You will be part of a collaborative, globally distributed team that values transparency, continuous feedback, and a shared commitment to excellence.
Compensation, Perks & Benefits
Competitive Pay: $27 per hour, with performance‑based bonuses.
Health & Wellness: Comprehensive medical, dental, vision, and telehealth benefits from day one.
Retirement Savings: 401(k) plan with company match after one year of service.
Paid Time Off: Generous vacation, sick leave, and holidays to support rest and rejuvenation.
Learning & Development: Access to a vast library of training resources, certification reimbursement, and internal tech talks.
Employee Assistance: Confidential counseling, pet insurance, and travel discounts.
Technology Stipend: Home office equipment allowance to create an ergonomic remote workspace.
How to Apply
If you are ready to leverage your data engineering expertise to drive transformative change at a world‑class aviation leader, we want to hear from you. Join careerzynith and become part of a team that is shaping the future of air travel through data.
Apply Now!
```
Apply for this job