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About arenaflex – Transforming Retail Through Technology
At arenaflex, we are reimagining the future of retail by empowering millions of shoppers with seamless, data‑driven experiences. As a global leader in e‑commerce and omnichannel services, we combine cutting‑edge technology with deep industry expertise to deliver rapid, reliable, and personalized solutions at scale.
Our mission is simple: use data to make life easier for every customer, every day. Whether you are a seasoned data professional or a rising talent eager to sharpen your skills, arenaflex provides a collaborative environment where innovative ideas flourish, and every line of code has the potential to impact millions worldwide.
We are proud of our remote‑first culture, flexible scheduling, and a commitment to inclusivity that ensures every team member feels valued, heard, and empowered to grow.
Role Overview – Remote Data Entry & ETL Pipeline Engineer
We are seeking a meticulous, technically adept Data Entry & ETL Pipeline Engineer to join the Supported Hunt Information group at arenaflex. This team is responsible for designing, building, and maintaining robust data pipelines, data sets, and ETL processes that power arenaflex’s Sponsored Search Advertising platform. The role offers both night and day shift options, giving you the flexibility to choose a schedule that best fits your lifestyle while working 100 % remotely.
Key Responsibilities
- Design & Develop High‑Volume Data Pipelines: Create resilient, scalable pipelines for ingesting, transforming, and storing massive data feeds used to power advertising analytics on arenaflex.com and affiliated sites.
- Maintain Data Quality & Accessibility: Implement validation, deduplication, and monitoring mechanisms to ensure data accuracy, completeness, and timely availability for downstream consumers.
- Leverage Cloud Platforms: Deploy and manage data workloads on Microsoft Azure and Google Cloud, utilizing services such as Azure Data Lake, BigQuery, and Cloud Storage.
- Containerized Deployment: Package ETL jobs and micro‑services in Docker containers and orchestrate them with Kubernetes for reliable, automated scaling.
- Collaborate Cross‑Functionally: Partner with product owners, QA engineers, data scientists, and partner operations to translate business requirements into technical solutions.
- Support Incident Response: Participate in on‑call rotations, troubleshoot production issues, and coordinate rapid resolutions across multiple teams.
- Continuous Improvement: Identify bottlenecks, propose architectural enhancements, and champion best practices for performance, security, and cost‑efficiency.
- Documentation & Knowledge Sharing: Produce clear technical documentation, conduct code reviews, and mentor junior engineers to foster a culture of learning.
Essential Qualifications
- Data Engineering Fundamentals: Proven experience designing relational and NoSQL data models (e.g., Azure SQL, PostgreSQL, Cassandra) and implementing ETL workflows.
- Programming & Scripting Skills: Proficiency in SQL and at least one of Python, Scala, or Java for data manipulation and pipeline development.
- ETL Tool Expertise: Hands‑on experience with Apache Airflow, Apache NiFi, or similar orchestrators; familiarity with Apache Flink is a plus.
- Streaming Platforms: Practical knowledge of real‑time messaging systems such as Apache Kafka for event‑driven data pipelines.
- Container & Orchestration Proficiency: Experience building Docker images and managing workloads in Kubernetes clusters.
- Cloud Service Acumen: Direct exposure to Azure (e.g., Azure Data Factory, Azure Databricks) and Google Cloud Platform services (e.g., Dataflow, BigQuery).
- Analytical Mindset: Strong problem‑solving abilities, a data‑first approach to decision making, and meticulous attention to detail.
- Communication Skills: Ability to articulate technical concepts clearly to both technical and non‑technical stakeholders.
- Self‑Management: Demonstrated ownership, accountability, and the capacity to thrive in a remote, asynchronous work environment.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with distributed compute frameworks such as Hadoop, Spark, or Flink.
- Familiarity with data warehousing solutions like Snowflake, Hive, or Redshift.
- Knowledge of CI/CD pipelines using tools like GitHub Actions, Jenkins, or Azure DevOps.
- Prior work on advertising technology platforms, recommendation engines, or marketing analytics.
- Exposure to infrastructure‑as‑code (IaC) tools such as Terraform or ARM templates.
- Certifications related to Azure (e.g., Azure Data Engineer Associate) or Google Cloud (e.g., Professional Data Engineer).
Core Skills & Competencies for Success
- Technical Rigor: Ability to write clean, maintainable code and apply software engineering best practices.
- Scalability Thinking: Design solutions that handle petabyte‑scale data while maintaining low latency.
- Reliability Focus: Implement robust error handling, retries, and observability (logging, metrics, tracing).
- Team Collaboration: Thrive in agile Scrum teams, contribute to sprint planning, retrospectives, and daily stand‑ups.
- Continuous Learning: Stay current with emerging data technologies, open‑source projects, and industry trends.
- Customer Obsession: Keep the end‑user experience in mind, ensuring data pipelines enable actionable insights for advertisers.
What We Offer – Compensation, Benefits, and Perks
- Competitive Salary: Market‑aligned base pay with performance‑based bonuses.
- Comprehensive Benefits: Medical, dental, vision, life insurance, and disability coverage.
- Retirement Savings: 401(k) plan with company match.
- Paid Time Off: Generous vacation, sick days, and parental leave.
- Remote‑Work Stipend: Monthly allowance for home office setup, internet, and coworking space access.
- Professional Development: Annual education budget, certification reimbursements, and internal learning labs.
- Wellness Programs: Mental‑health resources, virtual fitness classes, and employee assistance programs.
- Community & Culture: Employee resource groups, virtual social events, and volunteer opportunities.
Career Growth & Learning Opportunities
At arenaflex, your career trajectory is guided by your ambitions and the impact you make. As you master core data engineering practices, you can progress into senior engineering, data platform lead, or architecture roles. We also provide pathways into product management, data science, and analytics leadership for those who wish to broaden their influence. Through mentorship programs, hackathons, and cross‑functional project rotations, you will constantly stretch your skill set while contributing to high‑visibility initiatives that shape the future of retail advertising.
Work Environment & Culture at arenaflex
Our remote‑first philosophy means you can work from anywhere in the world while staying tightly connected to a vibrant, inclusive community. We value flexibility, trust, and outcomes over rigid schedules. Whether you choose the night shift to align with personal commitments or the day shift for a traditional routine, you’ll have access to:
- Regular virtual coffee chats and team‑building sessions.
- Clear communication channels (Slack, Teams, Confluence) to maintain transparency.
- Async collaboration tools that empower you to contribute on your own timeline.
- A culture of psychological safety where asking questions and sharing ideas are celebrated.
- Recognition programs that spotlight technical excellence and innovative thinking.
How to Apply – Join the arenaflex Data Engineering Revolution
If you are ready to apply your data expertise to a fast‑growing, technology‑driven retail leader and make a tangible difference for advertisers worldwide, we want to hear from you. Click the link below to submit your application, attach your résumé, and let us know why you’re the perfect fit for arenaflex’s Data Entry & ETL Pipeline Engineer role.
Apply Now – Start Your Journey with arenaflex
Closing Thoughts
At arenaflex, every bit of data you touch fuels smarter decisions, richer customer experiences, and a more vibrant marketplace. Join us, bring your curiosity, and help build the data foundations that will define the next era of retail. We look forward to welcoming you to our innovative, collaborative, and forward‑thinking team.
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