Remote Data Engineer – IT Analytics (Entry‑Level) – Cloud Data Engineering & Business Intelligence Role at careerzynith

About careerzynith – Pioneering the Future of Aviation Data

careerzynith is a global leader in the aviation industry, connecting millions of passengers to destinations worldwide through a sophisticated network of flights, technology platforms, and data‑driven services. As a forward‑thinking organization, careerzynith leverages cutting‑edge cloud solutions, advanced analytics, and a culture of continuous learning to stay ahead of the curve. Our mission is to transform raw data into actionable insights that improve operational efficiency, enhance the passenger experience, and drive sustainable growth. If you are passionate about turning data into strategic advantage and want to do it from the comfort of your home, this remote opportunity could be the perfect launchpad for your career.

Why You’ll Love This Role

At careerzynith, you will be a key contributor to the Data Engineering and Analytics team, helping to build a data‑centric culture that empowers decision‑makers across the organization. You’ll work on high‑impact projects that shape the way millions of travelers experience air travel, all while enjoying the flexibility of a fully remote position.

• Impactful work: Design and implement data pipelines that feed critical business intelligence dashboards used by senior leadership.
• Collaborative environment: Join a cross‑functional team of data scientists, product owners, and cloud engineers who value knowledge sharing and mentorship.
• Career acceleration: Gain hands‑on experience with industry‑leading technologies such as Azure Data Lake, Azure Databricks, and Power BI.
• Global reach: Contribute to solutions that affect operations in more than 30 countries and support a network of over 6,800 daily flights.

Key Responsibilities

As a Remote Data Engineer at careerzynith, you will be expected to:

• Collaborate with source data application teams and product owners to design, develop, and maintain scalable data ingestion and transformation pipelines.
• Implement end‑to‑end data solutions using Azure services: Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure Event Hub, Azure Databricks, and Azure DevOps.
• Develop and optimize data models, ensuring data quality, consistency, and compliance with security standards.
• Participate in the full software development lifecycle: architecture design, cloud infrastructure provisioning, CI/CD pipeline creation, testing, deployment, and performance tuning.
• Build and support both batch and streaming data pipelines to enable real‑time analytics for operational dashboards.
• Drive best practices in coding standards, data governance, and security policies across the data engineering community.
• Mentor junior engineers and share domain expertise to foster a high‑performing, collaborative team culture.
• Document technical designs, data lineage, and operational procedures to ensure knowledge transfer and maintainability.

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 professional experience in software development with an emphasis on data engineering, DevOps, or cloud‑native application development.
• SQL Proficiency: At least 3 years of hands‑on experience writing complex SQL queries for data extraction, transformation, and reporting.
• Cloud Experience: Minimum 2 years of experience building data solutions on Microsoft Azure (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Event Hub, Azure DevOps).
• Programming Skills: Strong command of Python and familiarity with scripting languages such as Bash or PowerShell.
• Data Platform Knowledge: Exposure to relational and NoSQL databases (SQL Server, Snowflake, MongoDB, Cassandra, Teradata) and data warehousing concepts.
• CI/CD Tools: Experience with GitHub, Jenkins, Azure DevOps pipelines, and infrastructure‑as‑code tools like Terraform.

Preferred Qualifications & Additional Skills

• 5+ years of experience in large‑scale data engineering projects, preferably within the aviation or transportation sector.
• Hands‑on experience with Power BI, Tableau, or other BI visualization tools for creating executive‑level dashboards.
• Familiarity with data governance tools such as Informatica Axon, Collibra, or BigID.
• Knowledge of data security and compliance frameworks (e.g., GDPR, CCPA, PCI‑DSS).
• Azure Development Track certification or equivalent cloud certifications (e.g., Azure Data Engineer Associate).
• Strong analytical mindset with the ability to translate business requirements into technical specifications.
• Excellent communication skills, both written and verbal, to effectively convey complex technical concepts to non‑technical stakeholders.

Core Competencies for Success

• Problem‑Solving: Ability to troubleshoot data pipeline failures, performance bottlenecks, and integration challenges quickly and efficiently.
• Collaboration: Proven track record of working in distributed, remote teams, fostering trust, and delivering results across time zones.
• Adaptability: Comfortable navigating evolving technology stacks and shifting business priorities.
• Attention to Detail: Commitment to data accuracy, documentation, and adherence to governance standards.
• Continuous Learning: Proactive in staying current with emerging data engineering tools, cloud services, and industry trends.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a Data Engineer, you will have access to:

• Mentorship programs pairing you with senior architects and data scientists.
• Sponsored certifications for Azure, data governance, and advanced analytics.
• Internal hackathons and innovation labs where you can prototype new ideas.
• Clear career pathways leading to senior data engineering, data architecture, or analytics leadership roles.
• Opportunities to work on cross‑functional projects that expose you to product management, operations, and customer experience teams.

Work Environment & Culture at careerzynith

Our remote workforce is built on a foundation of trust, flexibility, and inclusion. careerzynith promotes a culture where:

• Employees are empowered to take ownership of their projects while receiving the support they need.
• Diversity of thought is celebrated, and every voice is heard.
• Work‑life balance is a priority—flexible schedules, generous paid time off, and wellness programs are standard.
• Regular virtual town halls, team‑building events, and knowledge‑sharing sessions keep remote employees connected.
• Innovation is encouraged; you are invited to propose new solutions that can improve our data ecosystem.

Compensation, Perks & Benefits

careerzynith offers a competitive total rewards package that includes:

• Salary: A base range of $70,000 – $80,000 USD per year, commensurate with experience and expertise.
• Performance Bonuses: Annual incentive plans tied to individual and company performance.
• Health & Wellness: Comprehensive medical, dental, vision coverage, virtual care options, and flexible spending accounts.
• Retirement Savings: 401(k) plan with company match after one year of service.
• Travel Benefits: Employee travel privileges offering discounted airfare for you, your family, and friends.
• Learning & Development: Access to online learning platforms, tuition reimbursement, and certification funding.
• Work‑From‑Home Stipend: Support for home office equipment and high‑speed internet.
• Employee Assistance Program: Confidential counseling, legal resources, and pet insurance.

Application Process & Required Documents

To be considered for this exciting remote opportunity, please prepare the following documents:

• Official degree certificate and transcripts (or equivalent proof of education).
• Professional resume highlighting relevant data engineering experience.
• Passport‑size photograph.
• Signature image (for electronic submission).

Follow these steps to apply:

1. Visit the official careerzynith careers portal and carefully review the full job posting.
2. Complete the online application form, ensuring all required fields are filled accurately.
3. Upload the documents listed above.
4. Submit your application and await a confirmation email.

Ready to Join careerzynith?

If you are eager to contribute to a world‑class aviation data platform, thrive in a remote‑first environment, and grow your career alongside industry experts, we want to hear from you. Take the next step in your professional journey—apply today and become part of careerzynith’s data‑driven future.

Apply Now