Senior Data Engineer – Enterprise Data Infrastructure & Cloud Analytics (Remote-First | AWS & SQL Development)
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# Job Description
Join arenaflex: Building the Future of Data-Driven Innovation
Are you ready to transform how a leading organization leverages data to drive business decisions? At arenaflex, we're not just collecting data—we're orchestrating a symphony of insights that power innovation across every facet of our enterprise. As we continue to expand our technological capabilities and push the boundaries of what's possible in data engineering, we're seeking a talented Senior Data Engineer to join our dynamic Technology team.
This is more than just a job—it's an opportunity to shape the future of data infrastructure at an organization that values innovation, collaboration, and operational excellence. You'll be working alongside some of the brightest minds in the industry, tackling complex data challenges that have real-world impact on millions of customers and stakeholders.
If you're passionate about data, thrive in collaborative environments, and want to be part of a team that's redefining what's possible in enterprise analytics, we invite you to explore this exciting opportunity with arenaflex.
Position Overview
As a Senior Data Engineer at arenaflex, you will play a pivotal role in designing, building, and maintaining our enterprise data infrastructure. You'll work with massive, complex datasets that drive critical business decisions and operational strategies. This position offers the unique chance to work in a remote-first environment while contributing to meaningful initiatives that shape the future of technology at arenaflex.
You'll be responsible for creating robust data pipelines, implementing scalable infrastructure solutions, and ensuring the seamless flow of data across multiple platforms and systems. Your expertise in AWS and SQL technologies will be crucial in developing analytical tools that provide valuable insights into business performance metrics, operational efficiency, and customer acquisition strategies.
Key Responsibilities
- Data Infrastructure Development: Design, build, and maintain large-scale data infrastructure solutions that meet both functional and non-functional business requirements. This includes creating scalable data architectures capable of handling petabytes of information efficiently.
- Process Innovation: Identify, plan, and implement process improvements including re-architecting infrastructure for greater scalability, enhancing data delivery mechanisms, and automating manual processes to improve operational efficiency.
- ETL Pipeline Construction: Build robust infrastructure for optimal extraction, transformation, and loading (ETL) of data from diverse data sources using AWS cloud services and SQL technologies. Ensure data integrity and consistency across all pipelines.
- Analytical Tool Development: Develop sophisticated analytical tools that leverage the data pipeline to provide meaningful insights into key business performance metrics, including operational efficiency, customer acquisition, and revenue growth.
- Cross-Functional Collaboration: Work collaboratively with data science, design, product, and executive teams to understand their data infrastructure needs and provide technical solutions to data-related challenges.
- Technical Leadership: Lead and provide expertise to functional project teams, participate in cross-functional initiatives, and mentor junior team members on best practices in data engineering.
- Vendor Management: Collaborate with external vendors and partners, providing effective solutions and insights while ensuring alignment with arenaflex's technical standards and business objectives.
- Independent Problem-Solving: Exercise independent judgment within broadly defined policies and procedures, determining the best approach for achieving work objectives while maintaining quality and compliance standards.
- Complex Issue Resolution: Handle complex issues requiring in-depth analysis of circumstances or information, assessing multiple factors to develop comprehensive solutions.
- Technology Innovation: Create or modify hardware and technology solutions to serve evolving business needs and customer requirements.
- Additional Duties: Perform other job-related responsibilities as directed by supervisory personnel.
Essential Qualifications
- Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field. Equivalent professional experience may be considered in lieu of formal education.
- Technical Expertise: Strong proficiency in AWS cloud services and SQL technologies, with demonstrated experience building and maintaining data pipelines at scale.
- Data Engineering Experience: Proven track record of working with large, complex datasets and designing data solutions that meet both functional and non-functional business requirements.
- Problem-Solving Skills: Exceptional analytical abilities with capacity to identify complex issues, assess related information, and develop effective solutions.
- Communication Skills: Strong ability to communicate technical concepts to non-technical stakeholders and collaborate effectively across functional teams.
- Work Authorization: U.S. citizenship or current authorization to work in the United States is required. No current or future work authorization sponsorship is available for this position.
Preferred Qualifications
- Advanced degree in Computer Science, Data Engineering, or related technical discipline.
- Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Knowledge of data modeling, data warehousing, and ETL best practices.
- Familiarity with programming languages such as Python, Java, or Scala.
- Experience in the airline, transportation, or travel industry.
- Background in building real-time data processing systems.
- Understanding of machine learning pipelines and MLOps practices.
- Experience with containerization technologies like Docker and Kubernetes.
Required Knowledge, Skills, and Abilities
- Engineering Principles: Knowledge of the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods and services.
- Design Processes: Understanding of design processes, tools, and principles involved in the production of precision technical plans, diagrams, drawings, and models.
- Logical Reasoning: Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
- Information Analysis: Capacity to understand the implications of new information for both current and future problem-solving and decision-making.
- Complex Problem Identification: Skilled in identifying complex problems and assessing related information to develop and evaluate options and implement solutions.
- Pattern Recognition: Ability to identify or detect a known pattern (a figure, object, word, or sound) that is hidden in distracting material.
- Information Synthesis: Capacity to combine pieces of information to form general rules or conclusions, including finding relationships among seemingly unrelated events.
- Attention to Detail: Ability to arrange things or activities in a particular order or pattern according to a specific rule or set of rules.
- Information Switching: Ability to shift between two or more activities or sources of information (such as speech, sounds, touch, or other sources).
- Problem Detection: Capacity to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, just recognizing there is a problem.
Work Environment and Culture
At arenaflex, we believe that great work happens when people feel valued, supported, and empowered to do their best. Our culture is built on principles of transparency, collaboration, and continuous improvement. We foster an environment where diverse perspectives are celebrated, and every team member has the opportunity to make a meaningful impact.
This position is designed as a remote-first role, offering you the flexibility to work from the comfort of your home office while remaining connected to our collaborative team culture. During required training phases, meetings, and interviews, travel to our Corporate Campus may be necessary. Beyond those expected visits, the majority of your working time will be spent in a remote location, away from our Corporate Campus.
Important Note: While this is a remote position, there are limited states or territories where employees are not eligible to perform their work off-site regularly. Those ineligible areas include: Alaska, Delaware, New Jersey, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming. If you reside in one of these states, we encourage you to apply for other positions that may be available in your area.
Compensation and Benefits
We recognize that our people are our most valuable asset, and we're committed to providing competitive compensation and comprehensive benefits that support your professional and personal well-being.
- Competitive Hourly Rate: $25 per hour, with opportunities for performance-based increases.
- Full-Time Employment: Regular 8-hour work schedule with stability and growth potential.
- Health and Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans.
- Retirement Benefits: 401(k) retirement plan with company matching contributions.
- Paid Time Off: Generous vacation, sick leave, and personal time off policies.
- Professional Development: Access to training programs, certifications, and career development resources.
- Remote Work Support: Home office stipend and technology allowances for remote workers.
- Employee Assistance Program: Confidential support services for personal and professional challenges.
Career Growth Opportunities
At arenaflex, your career trajectory is limited only by your ambition and drive. As a Senior Data Engineer, you'll have numerous pathways for professional advancement, including:
- Lead Data Engineer or Principal Data Engineer roles with expanded leadership responsibilities.
- Specialization in emerging technologies such as real-time streaming, machine learning operations, or data mesh architecture.
- Transition into data architecture, technical program management, or data strategy leadership positions.
- Mentorship and people management opportunities for those interested in building and leading high-performing teams.
- Cross-functional exposure to product management, data science, and business intelligence domains.
We're invested in your growth and provide continuous learning opportunities, including access to cutting-edge training resources, industry conferences, and certification programs that keep you at the forefront of data engineering best practices.
Join Our Team
Ready to take the next step in your career? We're looking for passionate, talented individuals who want to be part of something bigger than themselves. At arenaflex, you'll find more than just a job—you'll find a community of innovators committed to transforming the way data drives business success.
If you're ready to tackle complex challenges, collaborate with brilliant teammates, and make a lasting impact, we encourage you to apply for this exciting opportunity. Bring your expertise, creativity, and enthusiasm, and together, we'll shape the future of data engineering at arenaflex.
We can't wait to see what you'll accomplish.
Apply now to begin your journey with arenaflex!
Note: U.S. citizenship or current authorization to work in the United States is required for this position. arenaflex is an equal opportunity employer and values diversity in our workforce. We encourage applications from all qualified individuals regardless of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.