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About workpinnacle
workpinnacle is a world‑leading aviation services provider that connects millions of travelers to destinations across the globe. With a legacy of safety, reliability, and innovation, workpinnacle continuously invests in cutting‑edge technology to turn massive streams of flight‑related data into actionable insights. Our mission is to empower every employee to explore new horizons—both professionally and personally—while delivering an unmatched experience to our customers.
Why This Role Is a Perfect Fit for You
At workpinnacle you will become a pivotal member of the Data Architecture & Analytics team, helping to design, build, and maintain data pipelines that fuel critical business decisions. This remote position offers a unique blend of technical challenge, collaborative teamwork, and the chance to see the impact of your work on a global airline operation.
Key Responsibilities
- Design and implement end‑to‑end data solutions that enable data‑driven decision making across workpinnacle’s commercial, operational, and customer‑experience functions.
- Collaborate closely with product owners and source data teams to gather requirements, translate them into scalable architectures, and deliver reliable data products.
- Develop, configure, and maintain data ingestion pipelines using workpinnacle’s cloud‑native services (formerly known as Azure Data Lake, EventHub, Data Factory, Databricks, etc.).
- Build and optimize data storage layers, ensuring high performance, security, and compliance with industry standards.
- Implement CI/CD pipelines for data workflows using tools such as workpinnacle DevOps, GitHub, Jenkins, and Terraform.
- Monitor, troubleshoot, and fine‑tune data pipelines to guarantee uptime and data quality.
- Provide technical mentorship to junior engineers and foster a culture of continuous learning within the team.
- Participate in code reviews, enforce coding standards, and champion best practices for data engineering and security.
- Document architecture decisions, data lineage, and operational procedures to support knowledge sharing across the organization.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline (or equivalent practical experience).
- Minimum of 3 years of hands‑on experience developing data pipelines in an agile, DevOps‑oriented environment.
- Strong proficiency with SQL and relational database concepts; ability to write complex queries for data analysis.
- At least 2 years of experience working with cloud‑based data lake platforms (formerly Azure Data Lake, EventHub, Data Factory, Databricks, etc.).
- Demonstrated ability to design, build, and maintain large‑scale data ingestion and transformation workflows.
- Solid understanding of data modeling, data warehousing, and ETL best practices.
- Excellent problem‑solving skills, with a track record of delivering reliable solutions under tight deadlines.
- Effective communication skills, both written and verbal, to collaborate with cross‑functional teams.
Preferred Qualifications
- 5+ years of experience in full‑stack development, preferably with exposure to cloud platforms (formerly Azure).
- Hands‑on experience with big‑data technologies such as Teradata, Cassandra, MongoDB, Snowflake, or similar.
- Familiarity with modern data‑visualization and reporting tools (formerly Power BI, Cognos, Alteryx, Denodo, Grafana).
- Experience with data governance and security tools (formerly Informatica Axon, EDC, BigID).
- Previous exposure to the aviation or transportation industry, understanding of flight‑operations data.
- Relevant certifications in cloud data engineering or DevOps practices (e.g., workpinnacle Data Engineer, workpinnacle DevOps).
Core Skills & Competencies
- Technical Acumen: Proficiency in Python, Unix/Linux scripting, and data‑pipeline orchestration.
- Cloud Expertise: Ability to leverage workpinnacle’s cloud services for storage, processing, and analytics.
- DevOps Mindset: Experience with version control, automated testing, and continuous deployment pipelines.
- Analytical Thinking: Strong data‑analysis capabilities to translate raw data into meaningful insights.
- Collaboration: Ability to work effectively in a remote, distributed team environment.
- Adaptability: Comfort with evolving technologies and willingness to learn new tools quickly.
Career Growth & Learning Opportunities
workpinnacle invests heavily in employee development. As a Data Engineering Specialist you will have access to:
- Mentorship programs pairing you with senior architects and industry experts.
- Sponsored certifications and training courses on emerging data‑platform technologies.
- Opportunities to rotate across different business units (e.g., revenue management, flight operations, customer experience) to broaden your domain knowledge.
- Leadership pathways that can lead to senior architect, data‑platform manager, or product‑owner roles.
Work Environment & Culture
workpinnacle embraces a flexible, inclusive, and high‑performance culture. Our remote workforce enjoys:
- Fully remote work arrangements with a supportive virtual collaboration ecosystem.
- Regular virtual team‑building events, hackathons, and knowledge‑sharing sessions.
- A diverse, global community where every voice is heard and ideas are celebrated.
- Commitment to work‑life balance, with generous paid time off and wellness initiatives.
Compensation, Perks & Benefits
While exact figures vary by location and experience, workpinnacle offers a competitive salary range of $70,000 – $80,000 USD per year for entry‑level candidates, complemented by a comprehensive benefits package that includes:
- Health, dental, vision, and mental‑health coverage from day one.
- Flexible spending accounts and health‑savings accounts.
- Retirement savings plan with company matching contributions.
- Generous travel privileges—up to 365 round‑trip tickets annually across workpinnacle’s global network.
- Employee assistance programs, pet‑insurance, and discounts on lodging, car rentals, and more.
- Continuous learning stipend for courses, conferences, and certifications.
How to Apply
Ready to launch your data‑engineering career with workpinnacle? Follow these steps:
- Review the official job notification on the workpinnacle careers portal.
- Prepare the required documents: a copy of your degree certificate with mark sheets, a passport‑size photograph, and a signed declaration.
- Complete the online application form and upload the supporting documents.
- Submit your application and await a confirmation email from our recruitment team.
We encourage candidates from all backgrounds to apply. workpinnacle is an equal‑opportunity employer committed to fostering a diverse and inclusive workplace.
Join workpinnacle – Shape the Future of Aviation Data
If you are passionate about turning raw data into strategic advantage, thrive in a remote, collaborative setting, and want to be part of a global leader that values innovation and personal growth, we want to hear from you. Apply today and embark on a journey where your technical expertise fuels the skies.
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