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About skillspath
skillspath is a global leader in aviation and technology services, connecting millions of travelers to destinations worldwide while pioneering data‑driven innovation. Our mission is to transform the travel experience through cutting‑edge cloud platforms, intelligent analytics, and a culture that celebrates curiosity, collaboration, and continuous learning. As a remote‑first organization, skillspath empowers its employees to work from anywhere, providing the tools, flexibility, and support needed to thrive both professionally and personally.
Why This Role Matters
At skillspath, data is the lifeblood of every decision—from flight scheduling and pricing to customer experience and operational efficiency. As a Senior Data Engineer on our Data Architecture & Analytics team, you will be a catalyst for building the next generation of data platforms that enable real‑time insights, predictive modeling, and seamless data delivery across the enterprise. Your work will directly influence how skillspath serves its customers, optimizes its operations, and stays ahead of industry trends.
Key Responsibilities
- Design & Implement Scalable Data Pipelines: Build end‑to‑end data ingestion, transformation, and storage solutions using skillspath Cloud services such as skillspath Data Factory, skillspath Event Hub, skillspath Databricks, and skillspath Stream Analytics.
- Collaborate with Cross‑Functional Teams: Partner with product owners, data scientists, and business analysts to translate business requirements into robust data architectures that support analytics, reporting, and machine‑learning workloads.
- Maintain Data Lake & Warehouse Environments: Manage skillspath Data Lake, skillspath Data Warehouse, and related storage layers, ensuring data quality, security, and governance standards are met.
- Develop CI/CD Pipelines: Implement automated deployment pipelines using skillspath DevOps, GitHub, Jenkins, and Terraform to accelerate delivery and maintain consistency across environments.
- Optimize Performance & Cost: Continuously monitor and tune data processing jobs, storage configurations, and compute resources to achieve optimal performance while controlling cloud spend.
- Mentor & Lead Technical Initiatives: Provide guidance to junior engineers, champion best practices in coding, testing, and documentation, and drive adoption of emerging technologies.
- Ensure Data Governance & Security: Apply data cataloging, lineage, and security policies using skillspath Axon, Data Governance tools, and industry‑standard encryption techniques.
- Support Production Operations: Participate in on‑call rotations, troubleshoot production incidents, and implement root‑cause analysis to prevent recurrence.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience).
- Minimum 3 years of hands‑on experience developing data pipelines in an agile, DevOps‑focused environment.
- Proficiency with SQL and at least one programming language such as Python, Scala, or Java.
- Demonstrated expertise with skillspath Cloud data services (skillspath Data Factory, skillspath Event Hub, skillspath Databricks, skillspath Storage, skillspath Functions, skillspath Synapse).
- Solid understanding of data modeling, data warehousing concepts, and ETL/ELT design patterns.
- Experience implementing CI/CD pipelines using GitHub, Jenkins, Terraform, or similar tools.
- Strong analytical mindset with the ability to translate complex business problems into scalable technical solutions.
Preferred Qualifications & Skills
- 5+ years of experience in large‑scale data engineering projects, preferably within the travel, logistics, or airline industry.
- Hands‑on experience with additional data platforms such as Teradata, Snowflake, Cassandra, MongoDB, or similar.
- Familiarity with business intelligence tools like skillspath Analytics, Cognos, Alteryx, Denodo, or Grafana.
- Knowledge of data governance frameworks and tools (e.g., skillspath Axon, Data Catalog, Data Quality solutions).
- Professional certifications related to cloud data engineering (e.g., skillspath Cloud Data Engineer, skillspath DevOps Engineer).
- Experience with containerization technologies (Docker, Kubernetes) and orchestration of data workloads.
- Excellent communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
Core Competencies for Success
- Problem Solving: Ability to dissect ambiguous challenges, propose data‑centric solutions, and iterate quickly.
- Collaboration: Works effectively within multidisciplinary teams, fostering an inclusive environment where diverse perspectives thrive.
- Adaptability: Comfortable navigating a fast‑changing technology landscape and embracing new tools and methodologies.
- Attention to Detail: Ensures data accuracy, consistency, and compliance with regulatory standards.
- Leadership: Mentors peers, drives technical excellence, and champions continuous improvement.
Career Growth & Learning Opportunities
skillspath invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:
- Annual education stipend for certifications, conferences, or advanced coursework.
- Mentorship programs pairing you with senior architects and industry experts.
- Opportunities to lead high‑visibility projects that influence global business strategy.
- Rotational programs that expose you to other domains such as machine learning, product management, and customer experience.
- Internal knowledge‑sharing platforms, hackathons, and innovation labs.
Work Environment & Culture at skillspath
Our remote‑first culture is built on trust, autonomy, and a shared commitment to excellence. Key aspects of life at skillspath include:
- Flexibility: Choose the work schedule that best fits your lifestyle while meeting team commitments.
- Inclusivity: A diverse workforce where every voice is heard and respected.
- Collaboration: Regular virtual coffee chats, team‑wide town halls, and cross‑regional project groups keep us connected.
- Well‑Being: Comprehensive mental‑health resources, wellness stipends, and virtual fitness classes.
- Innovation: A culture that encourages experimentation, rapid prototyping, and learning from failure.
Compensation, Perks & Benefits
skillspath offers a competitive compensation package that reflects your expertise and the value you bring to the organization. While exact figures may vary, you can expect:
- Base salary ranging from $70,000 to $80,000 annually (or equivalent hourly rate of $35 – $40).
- Performance‑based bonuses tied to project milestones and business outcomes.
- Comprehensive health, dental, and vision coverage from day one.
- Retirement savings plan with company match after one year of service.
- Generous paid time off, including vacation, sick leave, and holidays.
- Travel benefits that allow you and your family to explore skillspath’s global network of destinations.
- Employee assistance programs, pet insurance, and discounts on lodging, car rentals, and more.
How to Apply
If you are ready to shape the future of data at a world‑renowned organization, we want to hear from you. Submit your resume and a brief cover letter highlighting your most relevant experiences and why you are excited to join skillspath.
We Encourage You to Apply!
Even if you don’t meet every single requirement, we value diverse perspectives and are eager to learn how your unique background can contribute to our mission. skillspath is looking for passionate, driven individuals to join our friendly, high‑performing team.
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