Senior Data Engineer – Data Warehouse, Lake Architecture & Big Data Solutions | arenaflex
Posted 2026-05-06- --
About arenaflex
Welcome to arenaflex, a dynamic and innovative leader in the technology industry, dedicated to transforming the way businesses and consumers interact with data-driven solutions. At arenaflex, we believe in the power of data to create meaningful connections, enhance security, and deliver exceptional user experiences. Our commitment to innovation has made us a global powerhouse, and we continue to push the boundaries of what's possible in cloud computing, artificial intelligence, and smart connected devices.
We are currently seeking a talented and passionate Senior Data Engineer to join our growing Data Governance team. This is an exciting opportunity to work at the intersection of cloud computing, big data analytics, and security services—helping to shape the future of how we collect, process, and derive insights from massive volumes of data. If you're enthusiastic about building scalable data solutions, optimizing data pipelines, and working with cutting-edge technologies, arenaflex is the place for you.
Position Overview
As a Senior Data Engineer at arenaflex, you will play a pivotal role in leading the vision and execution of our data warehouse, data lake, and data security services. You will be responsible for designing, architecting, and implementing state-of-the-art data solutions that support multiple use cases, including business reporting, production data pipelines, machine learning models, optimization models, statistical analyses, and simulations.
This role is based in Hawthorne, CA, and offers the chance to collaborate closely with business partners, software development engineers, and research teams to deliver solutions that provide exceptional customer experiences. You will work in a complex data environment, leveraging the right architectural patterns to manage data effectively and drive value across the organization.
Key Responsibilities
As a key member of the arenaflex Data Governance team, you will be expected to:
- Design and Architect Data Solutions: Lead the design and implementation of enterprise-scale data warehouses and data lakes, ensuring scalability, performance, and data quality standards are met.
- Build ETL Pipelines: Develop robust and efficient ETL (Extract, Transform, Load) pipelines to move data between various systems, ensuring data integrity and timeliness.
- Collaborate with Cross-Functional Teams: Work closely with business stakeholders, software engineers, and data scientists to understand data requirements and deliver solutions that meet business needs.
- Ensure Data Quality and Governance: Implement best practices for data quality, metadata management, and data governance to maintain high standards across the organization.
- Optimize Data Performance: Identify and resolve performance bottlenecks in data pipelines and queries, ensuring optimal system performance.
- Support Analytics and Machine Learning: Provide data infrastructure support for various analytical use cases, including business intelligence, machine learning, statistical modeling, and simulation.
- Mentor and Coach: Guide and mentor junior team members on best practices, coding standards, and data engineering methodologies.
- Drive Innovation: Continuously evaluate emerging technologies and methodologies to improve arenaflex's data platform capabilities.
Essential Qualifications
To be successful in this role, you must possess the following qualifications:
- Educational Background: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- Data Modeling and Warehousing Experience: Demonstrated experience with data modeling, data warehousing concepts, and building ETL pipelines.
- SQL Expertise: Strong proficiency in SQL for data extraction, transformation, and analysis.
- Programming Skills: Experience with at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.
- Technical Leadership: Experience coaching and mentoring colleagues on best practices and technical excellence.
- Analytical and Communication Skills: Strong analytical abilities combined with excellent written and verbal communication skills to effectively collaborate with diverse stakeholders.
- Project Management: Proven ability to manage multiple projects and deliver results in a fast-paced environment.
Preferred Qualifications
While not required, the following qualifications will give you a competitive edge:
- Big Data Technologies: Experience with big data frameworks and tools such as Hadoop, Hive, Flash, and Amazon EMR (Elastic MapReduce).
- Large-Scale Data Warehousing: Hands-on experience working with large-scale data warehouses and distributed computing environments.
- Cloud Platform Expertise: Familiarity with cloud computing platforms and services, particularly in designing cloud-native data solutions.
- Machine Learning Infrastructure: Experience supporting machine learning workflows and understanding of ML model deployment requirements.
- Security and Compliance: Knowledge of data security best practices and regulatory compliance requirements (e.g., GDPR, CCPA).
Skills and Competencies
At arenaflex, we value candidates who bring a combination of technical expertise and interpersonal skills. The ideal candidate will demonstrate:
- Problem-Solving Abilities: A proactive approach to identifying challenges and developing innovative solutions.
- Attention to Detail: Commitment to delivering high-quality work with a focus on data accuracy and integrity.
- Adaptability: Ability to thrive in a dynamic, fast-paced environment and embrace changing priorities.
- Team Player: Strong collaboration skills and the ability to work effectively with cross-functional teams.
- Customer Focus: A dedication to understanding and exceeding customer expectations.
- Continuous Learning: Eagerness to stay current with industry trends and emerging technologies.
Career Growth and Learning Opportunities
At arenaflex, we are committed to the professional development of our employees. As a Senior Data Engineer, you will have access to:
- Career Advancement Pathways: Opportunities to grow into leadership roles, such as Principal Data Engineer, Data Architect, or Engineering Manager.
- Technical Training: Access to comprehensive training programs, certifications, and workshops to enhance your technical skills.
- Mentorship Programs: Both receiving mentorship from senior leaders and mentoring junior team members.
- Cross-Functional Exposure: Opportunities to work on diverse projects across different business units and technologies.
- Industry Conferences: Support for attending relevant industry conferences and events.
We believe in promoting from within and providing our employees with the tools they need to advance their careers. Your growth at arenaflex is limited only by your ambition and dedication.
Work Environment and Culture
arenaflex fosters a collaborative, inclusive, and innovative work environment where every employee is valued and empowered to make an impact. Our culture is built on the following core principles:
- Innovation First: We encourage creative thinking and experimentation, supporting employees who challenge the status quo.
- Work-Life Balance: We offer flexible work arrangements, including remote work options, to help you maintain a healthy balance between professional and personal life.
- Inclusive Culture: We celebrate diversity and believe that varied perspectives drive innovation and success.
- Team Spirit: We promote a supportive team atmosphere where collaboration and knowledge-sharing are encouraged.
- Employee Well-Being: Our comprehensive wellness programs support your physical, mental, and emotional health.
Located in Hawthorne, CA, our office provides access to state-of-the-art facilities and a vibrant tech community. Whether you prefer working on-site or embracing a hybrid arrangement, we offer the flexibility you need to do your best work.
Compensation and Benefits
arenaflex is committed to providing competitive compensation and a comprehensive benefits package. The hourly rate for this position is $25.00 per hour, with opportunities for overtime and performance-based bonuses. Our benefits include:
- Health Insurance: Comprehensive medical, dental, and vision coverage for you and your family.
- Retirement Savings: 401(k) plan with company matching to help you save for retirement.
- Stock Options: Opportunities to become a partial owner of arenaflex through equity programs.
- Paid Time Off: Generous vacation days, sick leave, and paid holidays.
- Parental Leave: Comprehensive parental leave benefits for new parents.
- Employee Assistance Program (EAP): Confidential counseling and support services for you and your family.
- Wellness Programs: Access to resources and programs that promote your overall well-being.
- Employee Discounts: Discounts on arenaflex products and services.
- Tuition Assistance: Support for pursuing higher education and skill development.
- Flexible Work Options: Remote work and flexible scheduling options where possible.
Why Join arenaflex?
arenaflex is more than just a workplace—it's a community of innovators, problem-solvers, and dreamers. When you join arenaflex, you become part of a company that is reshaping the future of technology and making a meaningful impact on millions of lives around the world.
We are looking for individuals who are passionate about data, committed to excellence, and excited to contribute to our mission. If you thrive in a challenging environment, enjoy solving complex problems, and want to work with talented people who share your enthusiasm, we invite you to apply for this exciting opportunity.
At arenaflex, your contributions matter. Join us and help build the future of data engineering!
How to Apply
If you're ready to take the next step in your career and make an impact at arenaflex, we encourage you to apply today. Please submit your resume and cover letter through our online application portal. We look forward to learning more about you and how you can contribute to our team.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.