**Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipeline Development and Maintenance**

Remote, USA
Posted Jun 12, 2026
Full-time

At arenaflex, we're on a mission to revolutionize the retail industry through innovative technology and data-driven insights. As a key member of our Supported Hunt Information group, you'll play a crucial role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publishing platform. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely and collaborate with cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting purposes.

**About arenaflex**

arenaflex is a leading retailer that's transforming the way people shop and interact with our brand. Our Worldwide Tech team is a group of talented individuals who are passionate about using technology to make a difference in people's lives. We're a human-driven and tech-engaged organization that's committed to developing our team members and acquiring experts like you to help us grow and innovate. Whether you're just starting your career or looking for a new challenge, we offer a dynamic and supportive environment that's perfect for launching an exciting career in tech, gaining new skills and experience, or scaling your expertise to make a significant impact.

**Key Responsibilities**

As a Full Stack Data Entry Specialist, you'll be responsible for:

* Accurately inputting, updating, and maintaining data into our database systems
* Designing and implementing robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on arenaflex.com and its subsidiaries
* Working on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis
* Developing and deploying large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure
* Collaborating with other scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless data integration and analysis
* Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams

**What You'll Bring**

To succeed in this role, you'll need to demonstrate:

* A strong aptitude in data design principles, data set planning, ETL cycles, and data mining
* Proficiency in working with data technologies including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks
* Experience with ETL tools like Apache NiFi
* Solid skills working with social databases (e.g., Azure SQL) and NoSQL datasets (e.g., Cassandra)
* Experience with real-time message processing using Apache Kafka
* A growth-oriented mindset and a willingness to raise the technical bar, as well as identify potential opportunities for improving existing processes, tools, and frameworks to achieve high scale and efficiency
* Experience working with Docker and Kubernetes, as well as Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Frameworks like Hive and Hadoop

**Essential Qualifications**

* Bachelor's degree in Computer Science, Information Technology, or a related field
* 2+ years of experience in data engineering, data science, or a related field
* Strong understanding of data design principles, data set planning, ETL cycles, and data mining
* Proficiency in working with data technologies including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks
* Experience with ETL tools like Apache NiFi
* Solid skills working with social databases (e.g., Azure SQL) and NoSQL datasets (e.g., Cassandra)

**Preferred Qualifications**

* Master's degree in Computer Science, Information Technology, or a related field
* 5+ years of experience in data engineering, data science, or a related field
* Experience with real-time message processing using Apache Kafka
* A growth-oriented mindset and a willingness to raise the technical bar, as well as identify potential opportunities for improving existing processes, tools, and frameworks to achieve high scale and efficiency
* Experience working with Docker and Kubernetes, as well as Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Frameworks like Hive and Hadoop

**Skills and Competencies**

* Strong analytical and problem-solving skills
* Excellent communication and collaboration skills
* Ability to work in a fast-paced, dynamic environment
* Strong attention to detail and quality standards
* Ability to adapt to changing priorities and deadlines
* Strong technical skills, including proficiency in data technologies and tools

**Career Growth Opportunities and Learning Benefits**

At arenaflex, we're committed to developing our team members and providing opportunities for growth and learning. As a Full Stack Data Entry Specialist, you'll have access to:

* Ongoing training and development programs to enhance your technical skills and knowledge
* Opportunities to work on high-impact projects and contribute to the development of new technologies and processes
* Collaborative and dynamic work environment that encourages innovation and creativity
* Recognition and rewards for outstanding performance and contributions
* Opportunities to take on leadership roles and mentor junior team members

**Work Environment and Company Culture**

arenaflex is a human-driven and tech-engaged organization that values collaboration, innovation, and growth. Our work environment is dynamic and fast-paced, with a focus on delivering high-quality results and making a meaningful impact. We offer a range of benefits and perks, including:

* Flexible work arrangements, including remote work options
* Comprehensive health and wellness programs
* Competitive salary and benefits package
* Opportunities for professional growth and development
* Recognition and rewards for outstanding performance and contributions

**Compensation, Perks, and Benefits**

arenaflex offers a competitive salary and benefits package, including:

* Base salary: $80,000 - $110,000 per year
* Bonus structure: up to 20% of base salary
* Comprehensive health and wellness programs, including medical, dental, and vision insurance
* 401(k) retirement plan with company match
* Flexible work arrangements, including remote work options
* Opportunities for professional growth and development
* Recognition and rewards for outstanding performance and contributions

**How to Apply**

If you're a motivated and talented individual who is passionate about data engineering and data science, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to . We can't wait to hear from you!

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