Experienced Data Engineer - Build Scalable Data Pipelines & Analytics Solutions (Remote/Hybrid)

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Join arenaflex as a Data Engineer

Are you passionate about data and looking to build a career in one of the most impactful fields in technology today? arenaflex is seeking a talented and motivated Data Engineer to join our growing data team. In this role, you will be responsible for constructing and maintaining large-scale data pipelines that power advanced analytics and data science solutions across our organization.

At arenaflex, we believe that data is the foundation of innovation. Every day, our teams leverage data-driven insights to make smarter business decisions, improve customer experiences, and drive operational excellence. As a Data Engineer at arenaflex, you will play a critical role in transforming raw data into actionable intelligence that shapes the future of our company.

This is an excellent opportunity for professionals who want to work with cutting-edge technologies, collaborate with talented data scientists, and make a tangible impact on business outcomes. Whether you are looking to advance your career or bring your expertise to a forward-thinking organization, arenaflex offers the environment, tools, and support you need to succeed.

What You'll Do

As a Data Engineer at arenaflex, you will be at the heart of our data infrastructure. Your primary responsibility will be to design, build, and maintain robust data pipelines that ensure the reliable flow of data across the organization. You will work closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver solutions that meet those requirements.

Key Responsibilities

• Develop Data Solutions: Create software applications that process, store, and serve data for use by data scientists, analysts, and business users across the organization.


• Design Data Models and Pipelines: Architect and implement data models and pipelines that collect, integrate, and normalize data from multiple sources to generate meaningful insights and support reporting needs.


• Build ETL Processes: Write Extract/Transform/Load (ETL) processes, design database systems, and develop tools for both real-time and batch analytical processing.


• Scalable Pipeline Development: Develop data pipelines that are flexible, repeatable, and secure, ensuring they can handle growing data volumes and complexity.


• Data Quality Assurance: Analyze programming and processes to ensure data consistency and integrity across all systems and platforms.


• Data Integration: Integrate data from various internal and external sources, ensuring adherence to data quality and accessibility standards.


• Problem Resolution: Effectively troubleshoot and resolve issues and obstacles as they occur, minimizing downtime and maintaining system reliability.


• Cross-functional Collaboration: Engage with internal and external peers, as well as supervisors, to exchange complex information related to assigned projects and initiatives.

What We're Looking For

We are seeking a candidate who combines technical expertise with a passion for solving complex data challenges. The ideal candidate will have a strong foundation in data engineering principles and be comfortable working in a dynamic, collaborative environment.

Basic Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field


• Minimum of 2 years of experience in data engineering, data architecture, or a similar role; OR advanced degree in a technical discipline with relevant experience


• Strong proficiency in SQL, including complex queries, stored procedures, and performance optimization


• Experience establishing and maintaining key relationships with internal stakeholders (peers, colleagues, and leadership) and external partners (business community, clients, and vendors) within a matrix organization


• Experience analyzing and reporting data to identify issues, trends, or exceptions that drive improvement and inform solution-finding


• Willingness to travel up to 10% of the time for business purposes (both within state and out of state)

Preferred Qualifications

• Advanced degree in Computer Science, Data Science, Information Systems, or a related technical discipline


• Experience with REST API development and integration


• Experience with Azure cloud application deployment and management


• Strong experience with Azure technologies, including:
  
  
  
  • Azure Data Factory
  
  
  • Azure Databricks (using Python or Scala)
  
  
  • Azure Application Services
  
  
  • Azure Data Lake
  
  
  • Azure Functions
  
  
  • Event Hubs
  
  
  • Event Grid
  
  
  • Logic Apps
  
  
  
  


• Experience building Azure DevOps pipelines to enable CI/CD, Infrastructure as Code (IaC), and automation


• Knowledge of big data technologies and distributed computing frameworks


• Familiarity with data warehousing concepts and modern data architecture patterns

Skills and Competencies

To thrive in this role at arenaflex, you should possess the following skills and competencies:

• Technical Proficiency: Strong coding skills in Python, Scala, or similar programming languages, with the ability to write efficient, maintainable code.


• Database Expertise: Deep knowledge of relational databases, NoSQL databases, and data warehousing solutions.


• Cloud Platform Knowledge: Hands-on experience with Azure cloud services and the ability to leverage cloud-native tools for data processing and storage.


• Problem-Solving Abilities: Strong analytical skills to diagnose issues, optimize performance, and design elegant solutions to complex data challenges.


• Communication Skills: Ability to translate technical concepts into business language and effectively communicate with stakeholders at all levels.


• Collaboration: Comfortable working in cross-functional teams and building relationships with colleagues from diverse backgrounds.


• Attention to Detail: Commitment to data quality and accuracy, with rigorous testing and validation practices.


• Adaptability: Ability to learn new technologies quickly and stay current with industry trends and best practices.

Career Growth and Learning Opportunities

At arenaflex, we are committed to helping our employees grow and develop in their careers. As a Data Engineer joining our team, you will have access to numerous opportunities for professional development, including:

• Technical Training: Comprehensive training on Azure and other cloud platforms, data engineering tools, and best practices.


• Career Advancement: Clear pathways for career progression, including senior data engineering roles, data architect positions, and leadership opportunities.


• Certification Support: Financial support and time off to pursue relevant certifications (Azure, AWS, Google Cloud, etc.).


• Mentorship Programs: Access to experienced mentors who can guide your technical and professional growth.


• Cross-functional Exposure: Opportunities to work on projects across different business units, expanding your knowledge and skill set.


• Industry Conferences: Participation in industry conferences, workshops, and events to stay connected with the latest trends and innovations.

Work Environment and Culture

arenaflex is more than just a workplace – we are a community of innovators, thinkers, and problem-solvers. Our culture is built on collaboration, respect, and a shared commitment to excellence. We believe that diverse perspectives make us stronger, and we are dedicated to creating an inclusive environment where everyone can thrive.

As a Data Engineer at arenaflex, you will enjoy:

• Flexible Work Arrangements: Options for remote, hybrid, or on-site work to suit your lifestyle and preferences.


• Modern Tools and Technologies: Access to cutting-edge tools and platforms to do your best work.


• Collaborative Culture: A supportive team environment where ideas are welcomed and innovation is encouraged.


• Work-Life Balance: Competitive working hours and flexibility to manage your personal and professional life.


• Team Events: Regular team-building activities, social events, and opportunities to connect with colleagues.

Compensation and Benefits

arenaflex offers a competitive compensation package that recognizes your skills, experience, and contributions. In addition to a base salary of approximately $28 per hour (commensurate with experience), we provide a comprehensive benefits package that includes:

• Health, dental, and vision insurance


• 401(k) retirement plan with company matching


• Paid time off (PTO) and holidays


• Life insurance and disability coverage


• Employee assistance program (EAP)


• Professional development reimbursement


• Wellness programs and resources


• Employee discounts and perks

Why Join arenaflex?

There has never been a more exciting time to join arenaflex. We are transforming the way businesses use data, and our Data Engineering team is at the forefront of this transformation. By joining our team, you will:

• Work on meaningful projects that impact millions of customers and drive business success


• Collaborate with talented professionals who are passionate about data and innovation


• Build expertise in cloud-native data technologies and modern data architecture


• Advance your career in a growing field with high demand for skilled professionals


• Enjoy a supportive, inclusive culture that values your contributions and invests in your growth

Ready to Make an Impact?

If you are ready to take the next step in your career and join a team that values innovation, collaboration, and excellence, we encourage you to apply for this Data Engineer position at arenaflex. We are looking for passionate, driven individuals who are eager to contribute to our mission of transforming data into actionable insights.

Don't miss this opportunity to grow your career with a leader in data engineering. Apply today and become part of a team that is shaping the future of data-driven decision-making!

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.