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About careerzynith – Pioneering the Future of Aviation Data

careerzynith is a global leader in the aviation industry, connecting millions of passengers every day through a sophisticated network of flights, technology, and data-driven services. Our mission is to transform the way people travel by leveraging cutting‑edge data platforms, advanced analytics, and a culture of continuous innovation. As a remote‑first organization, careerzynith empowers its employees to work from anywhere while staying deeply connected to a vibrant, collaborative community of technologists, data scientists, and business leaders.

Why You’ll Love This Role

At careerzynith, you will be at the heart of a data‑centric transformation that fuels strategic decision‑making across the entire company. This position offers you the chance to:

Shape the architecture of large‑scale data platforms that power critical business insights.

Collaborate with cross‑functional product owners, data scientists, and engineering teams to deliver high‑impact solutions.

Work with a modern tech stack that includes Azure Data Lake, Azure Synapse, Databricks, Azure Event Hubs, and a suite of DevOps tools.

Drive best practices in data security, governance, and performance optimization.

Grow your expertise in cloud‑native data engineering while mentoring junior engineers.

Key Responsibilities

Data Platform Design & Implementation

Partner with source data application teams and product owners to design, build, and maintain robust data pipelines that ingest, transform, and expose data for analytics and reporting.

Implement end‑to‑end data solutions using Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and related Azure services.

Develop and manage both batch and streaming pipelines, ensuring high reliability, low latency, and scalability.

Apply cloud‑native design patterns—such as micro‑services, containerization, and serverless architectures—to improve system resilience.

DevOps & Automation

Own the CI/CD lifecycle for data engineering code using GitHub, Azure DevOps, Jenkins, and Terraform.

Automate testing, deployment, and monitoring of data pipelines to reduce manual effort and increase release velocity.

Collaborate with the broader DevOps team to enforce coding standards, security policies, and operational excellence.

Data Quality, Governance & Security

Implement data quality frameworks and monitoring alerts using Azure Monitor, Grafana, and custom validation scripts.

Work closely with the data governance team to enforce policies via tools such as Informatica Axon, Azure Purview, and BigID.

Ensure compliance with industry regulations (e.g., GDPR, CCPA) and internal security standards.

Mentorship & Collaboration

Provide technical guidance and mentorship to junior engineers and cross‑functional teams.

Participate in agile ceremonies, sprint planning, and retrospectives to continuously improve delivery processes.

Document architecture decisions, data lineage, and operational runbooks for knowledge sharing.

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 using agile and DevOps methodologies.

Programming: Proficiency in Python, SQL, and familiarity with Unix/Linux environments.

Data Platforms: Hands‑on experience with Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Databricks, or comparable cloud data services.

Database Technologies: Experience with relational (SQL Server, Snowflake) and NoSQL (Cassandra, MongoDB, Teradata) databases.

CI/CD Tools: Practical knowledge of GitHub, Jenkins, Azure DevOps, and Terraform for infrastructure as code.

Analytics Tools: Familiarity with Power BI, Tableau, Cognos, or similar BI platforms for data visualization.

Preferred Qualifications

Advanced certifications such as Azure Data Engineer Associate, Azure DevOps Engineer Expert, or equivalent.

Experience with big‑data processing frameworks like Apache Spark, Hadoop, or Flink.

Background in the aviation or transportation industry, providing context for domain‑specific data challenges.

Exposure to data governance tools (Informatica Axon, Azure Purview) and data cataloging solutions.

Strong understanding of data security best practices, encryption, and access control mechanisms.

Core Skills & Competencies

Analytical Thinking: Ability to translate complex business requirements into scalable data solutions.

Collaboration: Excellent communication skills for working with diverse stakeholders across the organization.

Problem Solving: Proactive approach to identifying bottlenecks and implementing performance optimizations.

Adaptability: Comfort working in a fast‑paced, remote environment with evolving priorities.

Leadership: Demonstrated mentorship capabilities and a commitment to fostering a learning culture.

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 influence corporate strategy.

Cross‑functional rotations that broaden your exposure to product, operations, and analytics teams.

Work Environment & Culture

Our remote‑first culture is built on trust, inclusion, and empowerment. At careerzynith you will experience:

A collaborative virtual workspace with regular team‑wide hackathons, coffee chats, and knowledge‑sharing sessions.

Diversity and inclusion initiatives that celebrate different perspectives and backgrounds.

Flexible working hours that respect work‑life balance while aligning with global business needs.

A supportive leadership team that encourages innovation and recognizes achievements.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $27, along with a comprehensive benefits package designed to support your health, financial security, and overall well‑being.

Health & Wellness: Medical, dental, vision, and telehealth options with immediate eligibility.

Retirement Savings: 401(k) plan with company matching after one year of service.

Paid Time Off: Generous vacation, sick leave, and holidays to recharge.

Employee Assistance: Programs for mental health, financial counseling, and family support.

Additional Perks: Pet insurance, travel discounts, and employee recognition awards.

How to Apply

If you are ready to drive data innovation at a world‑class aviation leader and thrive in a remote, high‑impact environment, we want to hear from you. Submit your application today and become a pivotal part of careerzynith’s data transformation journey.

Apply Now

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Remote Senior Data Engineer – Cloud Data Platform & Analytics Engineering – $27/hr at careerzynith