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About hirequest
At hirequest, we’re redefining the future of data‑driven decision making in the aviation and travel industry. With a global footprint that spans continents and a culture rooted in innovation, collaboration, and continuous learning, hirequest empowers its teams to turn complex data challenges into actionable insights. Whether you’re building next‑generation analytics platforms, orchestrating cloud‑native data pipelines, or mentoring the next wave of data professionals, you’ll find a place where curiosity is rewarded and impact is tangible.
Why This Role Matters
As a Senior Data Engineer on our Analytics & DevOps squad, you’ll be at the heart of hirequest’s mission to deliver real‑time, data‑rich experiences for millions of travelers worldwide. Your work will directly influence product strategy, operational efficiency, and customer satisfaction. You’ll collaborate with product owners, data scientists, and business stakeholders to design, implement, and maintain scalable data solutions that power everything from flight pricing algorithms to predictive maintenance dashboards.
Key Responsibilities
- Design & Build Data Pipelines: Architect end‑to‑end data workflows that ingest, transform, and store data from diverse sources, ensuring high quality, reliability, and performance.
- Cloud‑Native Development: Leverage hirequest’s Azure ecosystem—including Azure Data Lake, Azure Synapse, Azure Databricks, and Azure Event Hubs—to build resilient, scalable data services.
- DevOps & CI/CD: Implement continuous integration and continuous delivery pipelines using GitHub Actions, Azure DevOps, Terraform, and Docker to accelerate deployment cycles.
- Performance Tuning: Optimize SQL queries, Spark jobs, and data lake partitions to reduce latency and cost.
- Security & Governance: Enforce data security best practices, manage access controls, and ensure compliance with industry regulations.
- Mentorship & Collaboration: Coach junior engineers, conduct code reviews, and foster a culture of knowledge sharing across cross‑functional teams.
- Stakeholder Engagement: Translate business requirements into technical specifications, and present findings to non‑technical audiences.
- Innovation & Continuous Improvement: Stay abreast of emerging data technologies, propose new tools or processes, and pilot proof‑of‑concepts that drive operational excellence.
Essential Qualifications
- Minimum 4 years of professional experience in data engineering or related roles.
- Strong proficiency in Python, SQL, and Spark.
- Hands‑on experience with Azure data services (Data Lake, Synapse, Databricks, Event Hubs).
- Solid understanding of relational and NoSQL databases (SQL Server, PostgreSQL, Cosmos DB).
- Experience building and maintaining CI/CD pipelines with Git, Terraform, and Azure DevOps.
- Demonstrated ability to design data models that support analytics and reporting.
- Excellent problem‑solving skills and a proactive, self‑starter attitude.
- Strong communication skills, both written and verbal, with the ability to explain complex concepts to diverse audiences.
Preferred Qualifications
- 5+ years of experience in a large‑scale, cloud‑native data engineering role.
- Proficiency with Azure Data Factory, Azure Data Explorer, and Azure Purview.
- Experience with data visualization tools such as Power BI, Tableau, or Looker.
- Knowledge of data governance frameworks and data cataloging best practices.
- Background in the aviation or travel industry is a plus.
- Certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.
Core Skills & Competencies
- Technical Expertise: Advanced knowledge of data modeling, ETL/ELT processes, and big data technologies.
- Cloud Proficiency: Deep familiarity with Azure services and cloud architecture patterns.
- DevOps Mindset: Ability to automate deployments, monitor pipelines, and troubleshoot production issues.
- Analytical Thinking: Strong data literacy and the capacity to translate business questions into data solutions.
- Collaboration: Comfortable working in agile teams, participating in sprint planning, and delivering incremental value.
- Leadership: Mentoring junior staff, leading technical discussions, and driving best‑practice adoption.
Career Growth & Learning Opportunities
At hirequest, your career trajectory is shaped by your ambition and the opportunities we provide. As a Senior Data Engineer, you’ll:
- Progress to a Lead Data Engineer or Data Architect role, overseeing larger projects and cross‑team initiatives.
- Take on product ownership responsibilities, shaping the roadmap for hirequest’s analytics platform.
- Participate in internal hackathons and innovation challenges to experiment with new technologies.
- Access to a curated learning library, including courses on Azure, Spark, and advanced analytics.
- Mentorship from senior leaders and the chance to present at company‑wide tech talks.
Work Environment & Culture
Our remote‑first culture means you can work from anywhere while staying connected with a vibrant, global team. We value:
- Flexibility: Flexible hours to accommodate different time zones and personal commitments.
- Collaboration: Daily stand‑ups, weekly demos, and open communication channels.
- Diversity & Inclusion: A workforce that reflects the communities we serve, with inclusive hiring practices and ongoing bias‑mitigation training.
- Innovation: A culture that encourages experimentation, rapid prototyping, and learning from failure.
- Well‑being: Regular virtual wellness sessions, mental health resources, and a generous paid time off policy.
Compensation & Benefits
We offer a competitive total rewards package that includes:
- Base Salary: $70–$80 per hour, commensurate with experience.
- Performance Bonus: Quarterly bonuses tied to project milestones and company performance.
- Health & Wellness: Comprehensive medical, dental, and vision plans, including telehealth services.
- Retirement: 401(k) plan with company match after one year of service.
- Paid Time Off: Generous vacation, sick leave, and personal days.
- Professional Development: Stipends for certifications, conferences, and continuing education.
- Remote Work Allowance: Home office stipend to set up a productive workspace.
- Employee Assistance Program: 24/7 counseling and support services.
How to Apply
Ready to take the next step in your data engineering career? Submit your résumé and a brief cover letter outlining why hirequest is the right fit for you. We’re excited to learn how your skills and passion align with our mission to transform travel data into unforgettable experiences.
Apply Now –